WO2022242466A1 - 通信处理方法和装置 - Google Patents

通信处理方法和装置 Download PDF

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Publication number
WO2022242466A1
WO2022242466A1 PCT/CN2022/091129 CN2022091129W WO2022242466A1 WO 2022242466 A1 WO2022242466 A1 WO 2022242466A1 CN 2022091129 W CN2022091129 W CN 2022091129W WO 2022242466 A1 WO2022242466 A1 WO 2022242466A1
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WIPO (PCT)
Prior art keywords
nonlinear interference
nonlinear
interference
signal
channel information
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PCT/CN2022/091129
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English (en)
French (fr)
Inventor
霍强
王敬伦
邹志强
李化加
蒋培刚
Original Assignee
华为技术有限公司
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Application filed by 华为技术有限公司 filed Critical 华为技术有限公司
Priority to EP22803790.9A priority Critical patent/EP4318995A1/en
Publication of WO2022242466A1 publication Critical patent/WO2022242466A1/zh

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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/02Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
    • H04B7/0615Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
    • H04B7/0617Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal for beam forming
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W52/00Power management, e.g. TPC [Transmission Power Control], power saving or power classes
    • H04W52/02Power saving arrangements
    • H04W52/0203Power saving arrangements in the radio access network or backbone network of wireless communication networks
    • H04W52/0206Power saving arrangements in the radio access network or backbone network of wireless communication networks in access points, e.g. base stations
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B1/00Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
    • H04B1/38Transceivers, i.e. devices in which transmitter and receiver form a structural unit and in which at least one part is used for functions of transmitting and receiving
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B15/00Suppression or limitation of noise or interference
    • H04B15/02Reducing interference from electric apparatus by means located at or near the interfering apparatus
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B17/00Monitoring; Testing
    • H04B17/10Monitoring; Testing of transmitters
    • H04B17/101Monitoring; Testing of transmitters for measurement of specific parameters of the transmitter or components thereof
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00Modulated-carrier systems
    • H04L27/32Carrier systems characterised by combinations of two or more of the types covered by groups H04L27/02, H04L27/10, H04L27/18 or H04L27/26
    • H04L27/34Amplitude- and phase-modulated carrier systems, e.g. quadrature-amplitude modulated carrier systems
    • H04L27/36Modulator circuits; Transmitter circuits
    • H04L27/366Arrangements for compensating undesirable properties of the transmission path between the modulator and the demodulator
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00Reducing energy consumption in communication networks
    • Y02D30/70Reducing energy consumption in communication networks in wireless communication networks

Definitions

  • the present application relates to the technical field of communication, and in particular to a communication processing method and device.
  • Nonlinear interference sources are an important factor limiting the capacity of communication systems.
  • a typical nonlinear interference is passive intermodulation (passive inter-modulation, PIM) interference.
  • Passive intermodulation in the communication system refers to the intermodulation effect caused by the non-linearity of the passive device itself when the passive device works under the condition of high-power signals of multiple frequencies.
  • Passive components may include connectors, feeders, antennas, filters, etc.
  • Passive intermodulation produces a passive intermodulation signal at a new frequency. When the passive intermodulation signal falls within the receiving frequency range of the receiving antenna of the surrounding equipment, the passive intermodulation signal will cause interference to the communication system. Therefore, how to obtain the information of the nonlinear interference source is an urgent problem to be solved at present.
  • the base station sends at least two downlink signals on each downlink beam of the preset downlink beam set.
  • the at least two downlink signals pass through a nonlinear interference source to generate a nonlinear interference signal.
  • the base station receives the nonlinear interference signal, and selects a downlink beam corresponding to the nonlinear interference signal with the largest power. Then, the base station estimates the channel information of the nonlinear interference source according to the downlink beam.
  • the base station needs to design a large number of refined downlink beam sets.
  • the base station needs to scan the beams to determine the set of downlink beams. As a result, it takes more time for the base station to scan beams, and the energy consumption caused by scanning beams is relatively large.
  • Embodiments of the present application provide a communication processing method and apparatus, which are used to avoid time consumption and energy consumption caused by communication equipment scanning beams, and save energy consumption of the communication equipment.
  • the first aspect of the embodiment of the present application provides a communication processing method, the method may be executed by a communication device, for example, the communication device may be a network device or a terminal device; or, the method may be executed by components of the communication device, for example, a processor , chip, or system-on-a-chip.
  • the method is implemented by a logic module or software capable of realizing all or part of the functions of the communication device. Methods include:
  • the first precoding weight is related to the first nonlinear interference channel information; the first nonlinear interference channel information is determined according to the first nonlinear interference signal; the second A nonlinear interference signal is a nonlinear interference signal obtained by exciting a first nonlinear interference source with at least two second signals; at least two first signals are output; the at least two first signals are used for the second nonlinear interference signal excitation.
  • the second nonlinear interference signal is a nonlinear interference signal obtained by exciting a second nonlinear interference source with at least two first signals.
  • At least two first signals are generated according to the first precoding weight, and at least two first signals are output.
  • the first precoding weight is related to the first nonlinear interference channel information. That is, the first precoding weight is obtained based on the first nonlinear interference channel information.
  • the communication device does not need to scan the beam to determine the downlink sending beam. In this way, the time consumption caused by scanning the beams and the energy consumption caused by scanning the beams are avoided. Save energy consumption of communication equipment.
  • the method further includes: receiving a second nonlinear interference signal; and determining second nonlinear interference channel information according to the second nonlinear interference signal.
  • the above implementation manner acquires the second nonlinear interference channel information by receiving the second nonlinear interference signal. In this way, the acquisition of nonlinear interference channel information is realized.
  • the first precoding weight is related to the first nonlinear interference channel information. In this way, the accuracy of the second nonlinear interference channel information can be improved.
  • the first nonlinear interference source is partially or completely identical to the second nonlinear interference source.
  • the first nonlinear interference channel information is determined according to the first nonlinear interference signal; the first nonlinear interference signal is a nonlinear interference obtained by at least two second signals exciting the first nonlinear interference source Jamming signal.
  • the second nonlinear interference channel information is determined according to the second nonlinear interference signal; the second nonlinear interference signal is a nonlinear interference signal obtained by exciting a second nonlinear interference source with at least two first signals.
  • the first nonlinear interference source is partially or completely identical to the second nonlinear interference source.
  • the first precoding weight is related to the first nonlinear interference channel information. This is beneficial for obtaining more accurate nonlinear interference channel information.
  • the first nonlinear interference channel information indicates a first covariance matrix
  • the first covariance matrix is a covariance matrix of a channel between the transmitting antenna and the first nonlinear interference source
  • the variance matrix is an N*N-dimensional matrix, where N is the number of transmit antennas, and N is an integer greater than or equal to 2
  • the first precoding weight is obtained based on the first covariance matrix.
  • the first covariance matrix includes nonlinear interference channel information of multiple signal transmission directions.
  • the first precoding weight is determined based on the first covariance matrix, which is beneficial for the communication device to obtain more accurate nonlinear interference channel information.
  • the communication device does not need to perform beam scanning, which saves energy consumption caused by beam scanning.
  • the first nonlinear interference channel information indicates the first interference space, and the first interference space is the channel space between the transmit antenna and the first nonlinear interference source; the first precoding weight is based on The first interference space is obtained.
  • each column vector in the first interference space includes nonlinear interference channel information corresponding to a signal transmission direction.
  • the first precoding weight is determined based on the first interference space, which is beneficial for the communication device to obtain more accurate nonlinear interference channel information.
  • the communication equipment does not need to perform beam scanning, which saves energy consumption caused by beam scanning.
  • the first nonlinear interference channel indicates the first interference channel, and the first interference channel is a channel between the transmit antenna and the first nonlinear interference source; the first precoding weight is based on the first interfered with the channel.
  • each column vector in the first interference channel includes nonlinear interference channel information corresponding to a signal transmission direction.
  • the first precoding weight is obtained based on the first interference channel. This is beneficial for the communication device to obtain more accurate nonlinear interference channel information. Communication equipment does not need to perform beam scanning, which saves energy consumption caused by beam scanning.
  • the method also includes:
  • the first condition includes at least one of the following: the number of iterations corresponding to the second nonlinear interference channel information is greater than or equal to the first preset threshold, and the absolute value of the power difference between the first nonlinear interference signal and the second nonlinear interference signal less than or equal to the second preset threshold.
  • the second nonlinear interference channel information when the first condition is satisfied, the second nonlinear interference channel information is output.
  • Communication equipment acquires nonlinear interference channel information through an iterative process. When the iterative process converges, the second nonlinear interference channel information is output. It is beneficial to improve the accuracy of the second nonlinear interference channel information acquired by the communication device.
  • the method also includes:
  • At least two third signals are generated according to the second precoding weight, and the second precoding weight is related to the second nonlinear interference channel information;
  • At least two third signals are used to excite a third nonlinear interference signal, and the third nonlinear interference signal is a nonlinear interference signal obtained by exciting a third nonlinear interference source with at least two third signals;
  • the first condition includes at least one of the following: the number of iterations corresponding to the second nonlinear interference channel information is greater than or equal to the first preset threshold, and the absolute value of the power difference between the first nonlinear interference signal and the second nonlinear interference signal less than or equal to the second preset threshold.
  • the iterative process in case convergence is not reached, the iterative process can continue to be performed. Therefore, the accuracy of nonlinear interference channel information obtained by the communication device is improved.
  • the first precoding weight is obtained based on the first initial precoding weight and the first interference weight, and the first initial precoding weight and the first interference weight are obtained based on the first The nonlinear interference channel information is obtained.
  • the communication device may determine the first precoding weight in combination with the first initial precoding weight and the first interference weight.
  • the first initial precoding weight and the first interference weight are obtained based on the first nonlinear interference channel information. It is beneficial to improve the accuracy of the nonlinear interference channel information acquired by the communication equipment.
  • the method also includes:
  • At least two fourth signals are generated according to the third precoding weight, and the third precoding weight is related to the second nonlinear interference channel information;
  • At least two fourth signals are used to excite a fourth nonlinear interference signal, and the fourth nonlinear interference signal is a nonlinear interference signal obtained by exciting a fourth nonlinear interference source with at least two fourth signals;
  • the first condition includes at least one of the following: the number of iterations corresponding to the second nonlinear interference channel information is greater than or equal to the first preset threshold, and the absolute value of the power difference between the first nonlinear interference signal and the second nonlinear interference signal less than or equal to the second preset threshold.
  • the method also includes:
  • N is the number of transmit antennas
  • At least two fifth signals are used to excite a fifth nonlinear interference signal
  • the fifth nonlinear interference signal is a nonlinear interference signal obtained by exciting a fifth nonlinear interference source with at least two fifth signals
  • the communication device may continue to perform the communication processing of the present application to obtain the nonlinear interference channel information of the N signal transmission directions information.
  • the first nonlinear interference channel information indicates a first covariance matrix
  • the first covariance matrix is a covariance matrix of a channel between the transmitting antenna and the first nonlinear interference source
  • the first covariance matrix The variance matrix is an N*N matrix, where N is the number of transmit antennas, and N is an integer greater than or equal to 2
  • the first initial precoding weight is obtained based on the first covariance matrix.
  • the first covariance matrix includes nonlinear interference channel information of multiple signal transmission directions.
  • the first initial precoding weights are obtained based on the first covariance matrix. This is beneficial for the communication device to obtain more accurate nonlinear interference channel information.
  • the communication device does not need to perform beam scanning, which saves energy consumption caused by beam scanning.
  • the first nonlinear interference channel information indicates the first interference space, and the first interference space is the interference space of the channel between the transmitting antenna and the first nonlinear interference source; the first initial precoding weight The values are obtained based on the first interference space.
  • each column vector in the first interference space corresponds to a signal transmission direction.
  • Each column vector in the first interference space includes nonlinear interference channel information corresponding to a signal transmission direction.
  • the first initial precoding weight is obtained based on the first interference space. This is beneficial for the communication device to obtain more accurate nonlinear interference channel information. In addition, the communication device does not need to perform beam scanning, which saves energy consumption caused by beam scanning.
  • the first nonlinear interference channel information indicates the first interference channel, and the first interference channel is a channel between the transmit antenna and the first nonlinear interference source; the first initial precoding weight is based on The first interfering channel is obtained.
  • each column vector in the first interference channel corresponds to a signal transmission direction.
  • Each column vector in the first interference channel includes nonlinear interference channel information corresponding to a signal transmission direction.
  • the first initial precoding weight is obtained based on the first interference channel. This is beneficial for the communication device to obtain more accurate nonlinear interference channel information. In addition, the communication device does not need to perform beam scanning, which saves energy consumption caused by beam scanning.
  • the first initial precoding weights are obtained based on the first nonlinear interference signal.
  • the first initial precoding weight is obtained based on the first nonlinear interference signal, which is conducive to obtaining more accurate nonlinear interference channel information.
  • the communication device does not need to perform beam scanning, which saves energy consumption caused by beam scanning.
  • the second nonlinear interference channel information indicates at least one of the following:
  • the second covariance matrix is a covariance matrix between the transmitting antenna and the channel of the second nonlinear interference source;
  • the third covariance matrix is the covariance matrix between the second nonlinear interference source and the channel of the receiving antenna;
  • the second interference space is the channel space between the transmitting antenna and the second nonlinear interference source
  • the third interference space is the channel space between the second nonlinear interference source and the receiving antenna
  • the second interference channel is a channel from the transmitting antenna to the second nonlinear interference source;
  • the third interference channel is a channel from the second nonlinear interference source to the receiving antenna.
  • the content indicated by the second nonlinear interference channel information is provided, and the channel information of the nonlinear interference source can be determined through the content indicated by the second nonlinear interference channel information.
  • the method further includes: avoiding the second nonlinear interference source when transmitting the signal according to the second nonlinear interference channel information; or, not receiving the signal at the frequency where the second nonlinear interference signal is located; or , determining frequency bands to which different users belong according to the second nonlinear interference channel information, and scheduling corresponding users through the frequency bands.
  • the communication device obtains the second nonlinear interference channel information through the above communication processing method, then the communication device can effectively suppress or avoid the second nonlinear interference signal in combination with the second nonlinear interference channel information , thereby improving communication performance.
  • the second aspect of the embodiment of the present application provides a communication processing device.
  • the communication processing device has the function of executing the communication processing method shown in the first aspect above; this function can be realized by hardware, or by executing corresponding software by hardware; the Hardware or software includes one or more modules corresponding to the above-mentioned functions.
  • the third aspect of the embodiment of the present application provides a communication processing device.
  • the communication processing device includes a processor, the processor is coupled with a memory, and the memory is used to store programs or instructions. When the programs or instructions are executed by the processor, the communication processing device executes A method as described in any one of the above first aspects.
  • the fourth aspect of the embodiments of the present application provides a computer-readable medium for storing computer programs or instructions.
  • the computer executes the method described in any one of the above-mentioned first aspects.
  • the fifth aspect of the embodiment of the present application provides a chip system
  • the chip system includes a processor, configured to support the network device to implement the functions involved in the first aspect above, for example, for example, sending or processing the signals involved in the above method and and/or information.
  • the chip system further includes a memory, and the memory is used for storing necessary program instructions and data of the network device.
  • the system-on-a-chip may consist of chips, or may include chips and other discrete devices.
  • the sixth aspect of the embodiments of the present application provides a computer program product including computer instructions, and when the computer program product is run on a computer, the computer is made to execute any one of the implementation manners of the first aspect above.
  • the first precoding weight is related to the first nonlinear interference channel information; the first nonlinear interference channel information is based on the first nonlinear interference channel information.
  • the first nonlinear interference signal is a nonlinear interference signal obtained by exciting a first nonlinear interference source with at least two first signals. Then, the at least two first signals are output. The at least two first signals are used for excitation of a second nonlinear interference signal.
  • the second nonlinear interference signal is a nonlinear interference signal obtained by exciting a second nonlinear interference source with at least two first signals.
  • At least two first signals are generated according to the first precoding weight, and at least two first signals are output.
  • the first precoding weight is related to the first nonlinear interference channel information. That is, the first precoding weight is obtained based on the first nonlinear interference channel information.
  • the communication device does not need to scan the beam to determine the downlink sending beam. In this way, the time consumption caused by scanning the beams and the energy consumption caused by scanning the beams are avoided. Save energy consumption of communication equipment.
  • FIG. 1A is a schematic diagram of an application scenario of an embodiment of the present application.
  • FIG. 1B is a schematic diagram of another application scenario of the embodiment of the present application.
  • FIG. 2A is a schematic diagram of an embodiment of a communication processing method according to an embodiment of the present application.
  • FIG. 2B is a schematic diagram of another embodiment of the communication processing method of the embodiment of the present application.
  • FIG. 3 is a schematic diagram of another embodiment of a communication processing method according to an embodiment of the present application.
  • FIG. 4 is a schematic diagram of an effect of a communication processing method according to an embodiment of the present application.
  • FIG. 5A is a schematic diagram of another embodiment of the communication processing method of the embodiment of the present application.
  • FIG. 5B is a schematic diagram of another embodiment of the communication processing method of the embodiment of the present application.
  • FIG. 6 is a schematic diagram of another effect of the communication processing method of the embodiment of the present application.
  • FIG. 7 is a schematic diagram of another effect of the communication processing method according to the embodiment of the present application.
  • FIG. 8 is a schematic diagram of another embodiment of a communication processing method according to an embodiment of the present application.
  • FIG. 9 is a schematic diagram of another embodiment of a communication processing method according to an embodiment of the present application.
  • FIG. 10 is a schematic diagram of another embodiment of a communication processing method according to an embodiment of the present application.
  • FIG. 11 is a schematic diagram of another embodiment of a communication processing method according to an embodiment of the present application.
  • FIG. 12 is a schematic structural diagram of a communication processing device according to an embodiment of the present application.
  • FIG. 13 is a schematic structural diagram of a terminal device according to an embodiment of the present application.
  • FIG. 14 is another schematic structural diagram of a communication processing device according to an embodiment of the present application.
  • Embodiments of the present application provide a communication processing method and apparatus, which are used to avoid time consumption and energy consumption caused by communication equipment scanning beams, and save energy consumption of the communication equipment.
  • E H is the conjugate transpose of E.
  • Q T is the transpose of Q.
  • p * means to take the conjugate to p.
  • An embodiment of the present application provides a communication processing method, which can be applied to a communication system.
  • the communication system includes but is not limited to the fourth generation (4th generation, 4G) communication system, 4.5G communication system, 5G communication system, 5.5G communication system, 6G communication system, device to device (device to device, D2D) communication system, Vehicle to everything (V2X) communication system, a system integrating multiple communication systems, or a communication system that will evolve in the future.
  • long term evolution long term evolution, LTE
  • new air interface new radio, NR
  • wireless fidelity wireless-fidelity
  • WiFi wireless-fidelity
  • 3GPP third generation partnership project
  • the communication system includes a terminal device.
  • the communication system further includes network equipment.
  • a terminal device is a device with wireless transceiver function, which can be deployed on land, including indoor or outdoor, handheld, wearable or vehicle-mounted; it can also be deployed on water (such as ships, etc.); it can also be deployed in the air (such as on airplanes, balloons and satellites, etc.).
  • the terminal device may be a mobile phone, a tablet computer (Pad), a computer with a wireless transceiver function, a virtual reality (virtual reality, VR) terminal device, an augmented reality (augmented reality, AR) terminal device, an industrial control ( Terminal equipment in industrial control, vehicle-mounted terminal equipment, terminal equipment in self driving, terminal equipment in assisted driving, terminal equipment in remote medical, and smart grid Terminal equipment, terminal equipment in transportation safety, terminal equipment in smart city, terminal equipment in smart home, etc.
  • the embodiments of the present application do not limit the application scenarios.
  • Terminal equipment may sometimes be called terminal equipment, user equipment (UE), access terminal equipment, vehicle-mounted terminal, industrial control terminal, UE unit, UE station, mobile station, mobile station, remote station, remote terminal equipment, Mobile devices, wireless communication devices, machine terminals, UE agents or UE devices, etc. Terminal equipment can be fixed or mobile.
  • UE user equipment
  • Access terminal equipment vehicle-mounted terminal
  • industrial control terminal UE unit
  • UE station mobile station
  • mobile station mobile station
  • remote station remote terminal equipment
  • Mobile devices wireless communication devices
  • machine terminals machine terminals
  • UE agents or UE devices etc.
  • Terminal equipment can be fixed or mobile.
  • the terminal device may be a wearable device.
  • Wearable devices can also be called wearable smart devices, which is a general term for the application of wearable technology to intelligently design daily wear and develop wearable devices, such as glasses, gloves, watches, clothing and shoes.
  • a wearable device is a portable device that is worn directly on the body or integrated into the user's clothing or accessories. Wearable devices are not only a hardware device, but also achieve powerful functions through software support, data interaction, and cloud interaction.
  • Generalized wearable smart devices include full-featured, large-sized, complete or partial functions without relying on smart phones, such as smart watches or smart glasses, etc., and only focus on a certain type of application functions, and need to cooperate with other devices such as smart phones Use, such as various smart bracelets and smart jewelry for physical sign monitoring.
  • the terminal device may be a terminal device in the Internet of Things (IoT) system.
  • IoT is an important part of the development of information technology in the future. Its main technical feature is to connect items to the network through communication technology, so that Realize the intelligent network of man-machine interconnection and object interconnection.
  • the terminal device in this application may be a terminal device in machine type communication (machine type communication, MTC).
  • MTC machine type communication
  • the terminal device of the present application may be a vehicle-mounted module, a vehicle-mounted module, a vehicle-mounted component, a vehicle-mounted chip, or a vehicle-mounted unit built into a vehicle as one or more components or units.
  • a component, an on-board chip, or an on-board unit can implement the method of the present application. Therefore, the embodiments of the present application can be applied to the Internet of Vehicles, such as vehicle to everything (V2X), long term evolution of vehicle communication (long term evolution vehicle, LTE-V), vehicle to vehicle (vehicle to vehicle, V2V
  • a network device may be any device with a wireless transceiver function. Including but not limited to: evolved base station (NodeB or eNB or e-NodeB, evolutional Node B) in LTE, base station (gNodeB or gNB) or transmission receiving point (transmission receiving point/transmission reception point, TRP) in NR, 3GPP Subsequent evolved base stations, access nodes in the WiFi system, wireless relay nodes, wireless backhaul nodes, etc.
  • the base station can be: a macro base station, a micro base station, a pico base station, a small station, a relay station, or a balloon station, etc. Multiple base stations may support the aforementioned networks of the same technology, or may support the aforementioned networks of different technologies.
  • a base station may contain one or more co-sited or non-co-sited TRPs.
  • the network device may also be a wireless controller, a centralized unit (centralized unit, CU), and/or a distributed unit (distributed unit, DU) in a cloud radio access network (cloud radio access network, CRAN) scenario.
  • the network device can also be a server, a wearable device, a machine communication device, or a vehicle-mounted device, etc.
  • a network device is used as an example for description.
  • the multiple network devices may be base stations of the same type, or base stations of different types.
  • the base station can communicate with the terminal equipment, and can also communicate with the terminal equipment through the relay station.
  • the terminal device can communicate with multiple base stations of different technologies.
  • the terminal device can communicate with the base station supporting the LTE network, and also can communicate with the base station supporting the 5G network. It can also support the communication between the base station of the LTE network and the base station of the 5G network. double connection. It can be understood that all or part of the functions of the network device in this application can also be realized by software functions running on hardware, or by virtualization functions instantiated on a platform (such as a cloud platform).
  • FIG. 1A is a schematic diagram of an application scenario of a communication processing method according to an embodiment of the present application.
  • the communication system includes network equipment and terminal equipment.
  • the network device 1 communicates with the terminal device 1 and the terminal device 2 respectively.
  • Network device 1 sends a downlink signal.
  • the downlink signal excites the nonlinear interference source to obtain the nonlinear interference signal.
  • the network device 1 receives the nonlinear interference signal, and determines nonlinear interference channel information according to the nonlinear interference signal.
  • the nonlinear interference source is independent from the network device 1 .
  • the nonlinear interference source may also be a nonlinear interference source on the network device 1, which is not limited in this application.
  • the nonlinear interference source may also be a nonlinear interference source on the network device 1, which is not limited in this application.
  • connectors, feeders, etc. on the antenna of the network device 1 are not limited in this application.
  • FIG. 1B is a schematic diagram of another application scenario of the communication processing method according to the embodiment of the present application.
  • the communication system includes network devices and terminal devices.
  • the network device 2 communicates with the terminal device 1 and the terminal device 2 respectively.
  • Network device 1 sends a downlink signal.
  • the downlink signal excites the nonlinear interference source to obtain the nonlinear interference signal.
  • the network device 2 receives the nonlinear interference signal, and determines nonlinear interference channel information according to the nonlinear interference signal.
  • the execution subject of the communication processing method in the embodiment of the present application may be a communication device.
  • the communication device may be a network device (such as a base station) or a terminal (such as a user equipment (user equipment, UE)).
  • the execution subject of the communication processing method may be a module, a processor, a chip, or a chip system in a network device.
  • the network device is a base station, and the base station includes a plurality of modules, which are an antenna, a baseband unit (baseband unit, BBU), and an active wireless processing unit (active antenna unit, AAU).
  • the communication device may be a BBU, or the communication device may include a BBU and an AAU.
  • the execution subject of the communication processing method may be a processor, a chip, or a chip system in the terminal device.
  • the execution subject of the communication processing method in the embodiment of the present application may be a logic module or software that realizes all or part of the functions of the communication device. The following description is made by taking the execution subject as a communication device as an example.
  • FIG. 2A is a schematic diagram of an embodiment of a communication processing method according to an embodiment of the present application.
  • the communication processing method includes:
  • the first precoding weight is related to the first nonlinear interference channel information.
  • the first nonlinear interference channel information is determined according to the first nonlinear interference signal.
  • the first nonlinear interference signal is a nonlinear interference signal obtained by exciting the first nonlinear interference source with at least two second signals.
  • the first nonlinear interferer includes active devices and passive devices.
  • passive components may be connectors, feeders, antennas, filters, and the like.
  • the active device may be a power amplifier.
  • the first nonlinear interference signal may be a nonlinear interference signal obtained by exciting a power amplifier with at least two second signals.
  • the first nonlinear interference signal may be a nonlinear interference signal obtained by exciting passive devices with at least two second signals.
  • the nonlinear interference signals excited by passive devices may include passive intermodulation (passive inter-modulation, PIM) interference signals.
  • Passive intermodulation refers to the intermodulation effect caused by the non-linearity of the passive device itself when the passive device works under the condition of multiple frequency signals.
  • the first precoding weight may be determined by the communication device, or obtained from other communication devices, which is not limited in this application.
  • the communication device acquires first nonlinear interference channel information.
  • the communication device determines the first precoding weight according to the first nonlinear interference channel information.
  • the communication device acquires the first nonlinear interference channel information from other communication devices.
  • a communication device receives a first nonlinear interference signal.
  • the communication device determines first nonlinear interference channel information according to the first nonlinear interference signal.
  • the first nonlinear interference channel information may include nonlinear interference channel information in multiple signal transmission directions.
  • the multiple signal transmission directions include spatial directions where nonlinear interference sources are located in part or all of the signal transmission space covered by the transmission antenna of the communication device.
  • the communication device transmits at least two second signals in the entire transmission space covered by the transmission antenna of the communication device.
  • the communication device receives nonlinear interference signals from nonlinear interference sources in six signal transmission directions.
  • the communication device obtains nonlinear interference channel information in six signal transmission directions according to the nonlinear interference signal. That is, the first nonlinear interference channel information includes nonlinear interference channel information in six signal transmission directions.
  • the communication device transmits at least two second signals in three signal transmission directions covered by the transmission antenna of the communication device.
  • the communication device receives the nonlinear interference signals of the nonlinear interference sources in the three signal transmission directions, and obtains the nonlinear interference channel information of the three signal transmission directions according to the nonlinear interference signals. That is, the first nonlinear interference channel information includes nonlinear interference channel information in three signal transmission directions.
  • the first precoding weight includes precoding weights corresponding to multiple signal transmission directions covered by the transmitting antenna of the communication device; or, the first precoding weight includes one signal transmission direction covered by the transmitting antenna of the communication device
  • the precoding weight corresponding to the direction is not limited in this application.
  • the communication device acquires nonlinear interference channel information of multiple signal transmission directions during one communication processing.
  • the specific implementation process please refer to the related introduction in the embodiment shown in FIG. 3 below.
  • the communication device acquires nonlinear interference channel information in a signal transmission direction during one communication processing.
  • the specific implementation process please refer to the related introduction in the embodiment shown in FIG. 5A later.
  • the second nonlinear interference signal is a nonlinear interference signal obtained by exciting a second nonlinear interference source with at least two first signals.
  • the network device 1 outputs at least two first signals.
  • the network device 1 performs radio frequency processing on at least two first signals, and sends the at least two first signals.
  • the first precoding weight is a precoding weight corresponding to multiple signal transmission directions covered by the transmitting antenna of the network device 1 . Then the network device 1 transmits the at least two first signals in the plurality of signal transmission directions.
  • the first precoding weight is a precoding weight corresponding to a certain signal transmission direction covered by the transmitting antenna of the network device 1 . Then the network device 1 transmits the at least two first signals in the signal transmission direction.
  • the first nonlinear interference source is partially or completely identical to the second nonlinear interference source.
  • the first nonlinear interference channel information includes: nonlinear interference channel information of all signal transmission directions covered by the transmitting antenna of the communication device.
  • the first nonlinear interference source includes a nonlinear interference source 1 , a nonlinear interference source 2 , a nonlinear interference source 3 , a nonlinear interference source 4 , and a nonlinear interference source 5 .
  • the first precoding weights are precoding weights corresponding to the three signal transmission directions covered by the transmission antenna of the communication device.
  • the second nonlinear interference source includes the nonlinear interference source 3 , the nonlinear interference source 4 , and the nonlinear interference source 5 as an example for introduction.
  • the first nonlinear interference source and the second nonlinear interference source both include the nonlinear interference source 3 , the nonlinear interference source 4 and the nonlinear interference source 5 . Therefore, the communication device may determine the first precoding weight according to the first nonlinear interference channel information. Then, the communication device generates at least two first signals according to the first precoding weight. At least two first signals are used for excitation of the second nonlinear interference signal. Therefore, it is convenient for the communication device to accurately acquire the channel information of the second nonlinear interference source according to the second nonlinear interference signal.
  • the first nonlinear interference source includes interface 1, interface 2, and interface 3.
  • the second nonlinear interference source includes interface 3 , interface 4 and interface 5 . It can be seen that both the first nonlinear interference source and the second nonlinear interference source include the interface 3 . Therefore, the communication device may determine the first precoding weight according to the first nonlinear interference channel information. The communication device then generates at least two first signals according to the first precoding weight. At least two first signals are used for excitation of the second nonlinear interference signal. This facilitates the communication device to accurately acquire channel information between the interface 3 and the receiving antenna of the communication device according to the second nonlinear interference signal.
  • step 203 to step 204 may be performed after step 202.
  • the communication device executes the foregoing steps 201 to 202. Further, the communication device acts as a receiving end of the second nonlinear interference signal, so as to perform step 203 to step 204 .
  • the frequency of the second nonlinear interference signal falls within the receiving frequency range of the receiving antenna of the communication device.
  • the communication device receives a second nonlinear interference signal from a second nonlinear interference source.
  • the communication device executes the foregoing steps 201 to 202.
  • the other communication device acts as a receiving end of the second nonlinear interference signal to perform steps 203 to 204 .
  • the frequency of the second nonlinear interference signal falls within the receiving frequency range of the receiving antenna of the other communication device.
  • the other communication device receives a second nonlinear interference signal from a second nonlinear interference source.
  • the second nonlinear interference channel information indicates at least one of the following: the second covariance matrix R dl2 , the third covariance matrix R ul2 , the second interference space D dl2 , the third interference space D ul2 , the second interference channel H dl2 , the third interference channel H ul2 .
  • the second covariance matrix R dl2 is a covariance matrix between channels from the transmitting antenna to the second nonlinear interference source.
  • the third covariance matrix R ul2 is a covariance matrix between channels from the second nonlinear interference source to the receiving antenna.
  • the second interference space D dl2 is the channel space between the transmitting antenna and the second nonlinear interference source.
  • the third interference space D ul2 is the channel space from the second nonlinear interference source to the receiving antenna.
  • the second interference channel Hd12 is a channel between the transmit antenna and the second nonlinear interference source.
  • the third interference channel H ul2 is a channel between the second nonlinear interference source and the receiving antenna.
  • the second nonlinear interference channel information includes at least one item of information above.
  • the second nonlinear interference channel information includes a characteristic parameter of the above at least one piece of information.
  • the feature parameter is used to determine at least one piece of information above.
  • the second nonlinear interference channel information includes an index, where the index indicates the above at least one piece of information.
  • the communication device avoids the second nonlinear interference source when transmitting a signal according to the second nonlinear interference channel information. For example, the communication device adjusts the precoding weight of the transmitted signal, so as to prevent the downlink signal from exciting a nonlinear interference source to generate nonlinear interference.
  • the communications device does not receive signals at frequencies where the second nonlinear interfering signal is located.
  • the communication device determines frequency bands to which different users belong according to the second nonlinear interference channel information, and schedules corresponding users through the frequency bands. Therefore, the interference effect of the second nonlinear interference signal on the user is minimized.
  • the communication device is a base station.
  • the communication device divides the downlink user frequency band into two subsets, including subset 1 and subset 2 respectively.
  • the downlink user frequency band in subset 1 represents the downlink frequency band that has a greater impact on the uplink user frequency band.
  • the downlink user frequency band in subset 2 represents the downlink frequency band that has little influence on the uplink user frequency band.
  • the communication device Based on the correlation between the nonlinear interference channel and the downlink channel from the communication device to the user, the communication device schedules users with higher correlation through the downlink user frequency band of subset 2, and schedules users with lower correlation through the downlink user frequency band of subset 1 . In this way, the interference to the uplink user caused by the nonlinear interference signal excited by the downlink user signal sent by the communication device is alleviated.
  • the nonlinear interference channel refers to a channel between the second nonlinear interference source and the communication device.
  • the nonlinear interfering channel is represented here by vector 1 .
  • vector 2 represents the downlink channel between the communication device and the user.
  • Vector 1 and Vector 2 are normalized.
  • the correlation between the nonlinear interference channel and the downlink channel from the communication device to the user can be characterized by the inner product of vector 1 and vector 2 .
  • At least two first signals are generated according to the first precoding weight, and at least two first signals are output.
  • the first precoding weight is related to the first nonlinear interference channel information. That is, the first precoding weight is obtained based on the first nonlinear interference channel information.
  • the communication device does not need to scan the beam to determine the downlink sending beam. In this way, the time consumption caused by scanning the beams and the energy consumption caused by scanning the beams are avoided. Save energy consumption of communication equipment.
  • the first precoding weight is obtained based on the first nonlinear interference channel information. This is conducive to obtaining more accurate nonlinear interference channel information.
  • the second nonlinear interference channel information includes the above at least one piece of information as an example for introduction.
  • the second nonlinear interference channel information includes: a third covariance matrix R ul2 , a third interference space D ul2 , and a third interference channel H ul2 .
  • step 204 in the above embodiment shown in FIG. 2A specifically includes step 2041 and step 2042 .
  • Step 2041 and step 2042 are described below in conjunction with FIG. 2B .
  • Step 2041 Determine the third covariance matrix according to the second nonlinear interference signal Y2 ;
  • the third covariance matrix satisfies R ul2 is the third covariance matrix
  • Y 2 is the second nonlinear interference signal
  • Y 2 H is the conjugate transpose of the second nonlinear interference signal.
  • L is the number of samples in the frequency domain or the number of samples in the time domain for the communication device to receive the second nonlinear interference signal Y 2 .
  • L is the number of frequency domain samples corresponding to the uplink bandwidth of the communication device; or, L is the number of time domain samples corresponding to the uplink bandwidth of the communication device.
  • the uplink bandwidth of the communication device is 5 Mb (Mega), and the subcarrier spacing used by the communication device is 15 KHz (Kilo Hertz). Then the communication device occupies 300 subcarriers in the frequency domain. 300 subcarriers correspond to 300 frequency domain samples, therefore, L is 300. If the communication device includes 10 transmit antennas, then the second nonlinear interference signal Y 2 is a 10*300-dimensional matrix.
  • the uplink bandwidth of the communication device is 5 Mb (Mega), and the subcarrier spacing used by the communication device is 15 KHz (Kilo Hertz).
  • the communication device occupies 300 subcarriers in the frequency domain.
  • the communication device performs Fourier transform on the frequency domain signals carried on the 300 subcarriers to obtain corresponding time domain signals.
  • the time domain signal includes 512 time domain samples. Therefore, L is 512. If the communication device includes 10 transmit antennas, then the second nonlinear interference signal Y 2 is a 10*512-dimensional matrix.
  • Step 2042 Determine a third interference space D ul2 and a third interference channel H ul2 according to the third covariance matrix R ul2 .
  • Step 2042 will be described below in conjunction with steps 2042a to 2042c.
  • Step 2042a performing singular value decomposition on the third covariance matrix R ul2 to obtain the second left singular matrix U 2 of the third covariance matrix R ul2 ;
  • R ul2 is the third covariance matrix
  • U 2 is an M*M-dimensional matrix
  • M is the number of receiving antennas.
  • ⁇ 2 is a diagonal matrix of M*M dimensions, the main diagonal element corresponding to the rth column vector of ⁇ 2 is the singular value corresponding to the rth column vector of U 2 , r is greater than or equal to 1 and less than or An integer equal to M.
  • the main diagonal elements of ⁇ 2 are all greater than 0, and the other elements in ⁇ 2 except the main diagonal elements are all 0.
  • V 2 is the right singular matrix of the third covariance matrix R ul2
  • V 2 H is the transpose of V 2 .
  • Step 2042b Select corresponding P column vectors from the second left singular matrix U 2 according to the order of the singular values in ⁇ 2 from large to small, to obtain the third interference space D ul2 .
  • the singular values in the P column vectors corresponding to ⁇ 2 are respectively greater than or equal to the third preset threshold value.
  • P is an integer greater than or equal to 1.
  • the third interference space D ul2 [d 1 , d 2 , . . . d P ], d b is the bth column vector in U 2 , and b is an integer greater than or equal to 1 and less than or equal to P.
  • the value of the third preset threshold may be set based on thermal noise power of the communication device.
  • the value of the third preset threshold is the average power of thermal noise of the communication device.
  • Step 2042c Multiply the P column vectors by the singular values corresponding to the P column vectors in ⁇ 2 to obtain the third interference channel H ul2 .
  • the second nonlinear interference channel information further includes a second covariance matrix R dl2 .
  • the embodiment shown in FIG. 2B above also includes step 2043 .
  • Step 2043 Determine the second covariance matrix R dl2 according to the third covariance matrix R ul2 .
  • Step 2043a use the third covariance matrix R ul2 as the second covariance matrix R dl2 .
  • Implementation Mode 1 is applicable to a scenario where the number of transmitting antennas of the communication device is consistent with the number of receiving antennas, and the positions of the transmitting antennas are consistent with the positions of the receiving antennas.
  • Step 2043b Determine the receiving antenna closest to each transmitting antenna
  • Step 2043c use the element r xy as the element ref in the second covariance matrix R dl2 to obtain the second covariance matrix R dl2 .
  • the element r xy is the correlation information between the signal received by the xth receiving antenna of the communication device and the signal received by the yth receiving antenna in the third covariance matrix R ul2 .
  • the element r ef is the relevant information of the signals respectively sent by the e-th transmitting antenna and the f-th transmitting antenna of the communication device in the second covariance matrix R dl2 .
  • the e-th receiving antenna is the closest to the x-th transmitting antenna
  • the f-th receiving antenna is the closest to the y-th transmitting antenna.
  • e and f are integers greater than or equal to 1 and less than or equal to M, respectively, where M is the number of receiving antennas.
  • x and y are respectively integers greater than or equal to 1 and less than or equal to N, where N is the number of transmit antennas.
  • implementation manner 2 is applicable to a scenario where the number of transmit antennas is not equal to the number of receive antennas. Alternatively, implementation 2 is applicable to a scenario where the positions of the transmitting antenna and the receiving antenna are inconsistent.
  • Step 2043d Perform matrix vectorization processing on the third covariance matrix R ul2 to obtain r vec,ul ;
  • r vec, ul is an M 2 *1-dimensional matrix
  • M 2 is the square of M
  • M is the number of receiving antennas.
  • the communication device transforms the third covariance matrix into a column vector to obtain r vec,ul .
  • r vec,ul includes all elements in the third covariance matrix R ul2 .
  • the third covariance matrix R ul2 is an M*M dimensional matrix.
  • the communication device arranges the elements in R ul2 into a column vector according to the order of the column vectors of R ul2 , and obtains
  • Step 2043e Determine r vec,dl according to the first transformation matrix A and r vec,ul .
  • r vec,dl can be understood as the matrix obtained by the second covariance matrix R dl2 after matrix vectorization processing.
  • r vec,dl A*r vec,ul .
  • A is the first transformation matrix
  • the first transformation matrix is the relationship between r vec,ul and r vec,dl determined according to the first simulation data.
  • the first simulation data includes multiple sets of historical third covariance matrices R ul2 and historical second covariance matrices R dl2 obtained by traversing various nonlinear interference scenario simulations.
  • the nonlinear interference parameter includes at least one of the following: the location of the nonlinear interference source, the number of the nonlinear interference source, and the interference power of the nonlinear interference source.
  • the first simulation data is obtained by traversing multiple nonlinear interference scenarios.
  • the first simulation data includes and The value of i is an integer between [1, S5], S5 is the number of statistical samples, and S5 is an integer greater than 1. So Yes obtained through matrix vectorization. Yes obtained through matrix vectorization. So, representative pair matrix pseudo-inverse operation. therefore,
  • Step 2043f Determine the second covariance matrix R dl2 by r vec,dl .
  • the communication device can determine
  • the applicable scenarios of the foregoing implementation manner 3 are not limited.
  • the foregoing implementation manner 3 is applicable to a scenario where the number of transmitting antennas is equal to or not equal to the number of receiving antennas.
  • the above implementation manner 3 is applicable to a scenario where the position of the transmitting antenna is the same or different from that of the receiving antenna.
  • step 2042 may be executed first, and then step 2043; or, step 2043 shall be executed first, and then step 2042 shall be executed; Applications are not limited.
  • the second nonlinear interference channel information includes a second interference space D dl2 .
  • the embodiment shown in FIG. 2B above also includes step 2044 .
  • Step 2044 Determine the second interference space D dl2 .
  • the communication device determines the second interference space Ddl2 according to the second covariance matrix Rdl2 .
  • Step 2044a performing singular value decomposition on the second covariance matrix R dl2 to obtain the third left singular matrix U 3 of the first covariance matrix R dl2 ;
  • U 3 is an N*N-dimensional matrix, and U 3 is a left singular matrix of the second covariance matrix R dl2 .
  • ⁇ 3 is an N*N-dimensional diagonal matrix
  • the main diagonal element corresponding to the kth column vector of ⁇ 3 is the singular value corresponding to the kth column vector of U 3
  • k is greater than or equal to 1 and less than or an integer equal to N.
  • the main diagonal elements of ⁇ 3 are all greater than 0, and the other elements in ⁇ 3 except the main diagonal elements are all 0.
  • V 2 is an N*N-dimensional matrix
  • V 2 is the right singular matrix of the second covariance matrix
  • V 2 H is the conjugate transpose of V 2 .
  • Step 2044b Select the corresponding G column vectors from the third left singular matrix U 3 according to the order of the singular values in ⁇ 3 from large to small, and obtain the second interference space D dl2 .
  • the singular values in the G column vectors corresponding to ⁇ 3 are respectively greater than or equal to the fourth preset threshold value.
  • G is an integer greater than or equal to 1.
  • the size of the fourth preset threshold is set based on the power of thermal noise.
  • Implementation manner 2 the communication device determines the second interference space D dl2 according to the third interference space D ul2 .
  • the communication device multiplies the third interference space D ul2 by the second transformation matrix B to obtain the second interference space D dl2 .
  • the second transformation matrix B is the relationship between the third interference space D ul2 and the second interference space D dl2 determined according to the second simulation data.
  • the second simulation data includes multiple sets of historical third interference space D ul2 and historical second interference space D dl2 obtained by traversing various nonlinear interference scene simulations.
  • the relevant introduction of the nonlinear interference scenario please refer to the above-mentioned relevant introduction, and will not be repeated here.
  • the second simulation data is acquired through various nonlinear interference scenarios.
  • the second simulation data includes and The value of i is an integer between [1, S5], S5 is the number of statistical samples, and S5 is an integer greater than 1. So Yes After matrix vectorization processing, Yes obtained through matrix vectorization. So, representative pair matrix pseudo-inverse operation. therefore,
  • the second nonlinear interference channel information includes the second interference channel H dl2 .
  • the embodiment shown in FIG. 2B above also includes step 2045 .
  • Step 2045 Determine the second interference channel H dl2 .
  • Implementation manner 1 The communication device determines the second interference channel H dl2 according to the second covariance matrix R dl2 .
  • Step 2045a performing singular value decomposition on the second covariance matrix R dl2 to obtain the third left singular matrix U 3 of the second covariance matrix R dl2;
  • Step 2045a is similar to the above-mentioned step 2044a, please refer to the related introduction of the above-mentioned step 2044a for details.
  • Step 2044b Select the corresponding S column vectors from the third left singular matrix U 3 according to the order of the singular values in ⁇ 3 .
  • the singular values in ⁇ 3 corresponding to the S column vectors are respectively greater than or equal to the fifth preset threshold value.
  • the value of the fifth preset threshold is set based on the power of thermal noise.
  • Step 2044c The communication device multiplies the S2 column vectors by the singular values corresponding to the S2 column vectors in ⁇ 3 to obtain the second interference channel H dl2 .
  • j is an integer greater than or equal to 1 and less than or equal to S2.
  • S2 is an integer greater than or equal to 1.
  • Implementation manner 2 The communication device determines the second interference channel H dl2 according to the third interference channel H ul2 .
  • the communication device multiplies the third interference channel H ul2 by the third transformation matrix C to obtain the second interference channel H dl2 .
  • the third transformation matrix C is the relationship between the third interference channel Hul2 and the second interference channel Hdl2 determined according to the third simulation data
  • the third simulation data includes multiple sets of historical third interference channel H ul2 and historical second interference channel H dl2 obtained by traversing various nonlinear interference scenario simulations.
  • relevant introduction of the nonlinear interference scenario please refer to the above-mentioned relevant introduction, and will not be repeated here.
  • the third simulation data is acquired through various nonlinear interference scenarios.
  • the third simulation data includes and The value of i is an integer between [1, S1], and S1 is the number of statistical samples. So Yes After matrix vectorization processing, Yes obtained through matrix vectorization. So, representative pair matrix pseudo-inverse operation. So,
  • step 2044 can be executed first and then step 2045 is executed, or step 2045 is executed first and then step 2044 is executed, or step 2044 and step 2045 are executed simultaneously according to the situation, specifically, this application does not Do limited.
  • FIG. 3 is a schematic diagram of another embodiment of a communication processing method according to an embodiment of the present application.
  • the communication processing method includes:
  • the first precoding weight is related to the first nonlinear interference channel information.
  • the first nonlinear interference channel information is determined according to the first nonlinear interference signal.
  • the first nonlinear interference signal is a nonlinear interference signal obtained by exciting the first nonlinear interference source with at least two second signals.
  • the at least two first signals include signal X1 and signal X2.
  • P dl1 is the first precoding weight.
  • Signal S 1 and signal S 2 are signals that have not been precoded.
  • the signal S 1 and the signal S 2 may be a matrix of Z*F dimension respectively.
  • Z is the number of signal transmission directions corresponding to the first precoding weight, and Z is an integer greater than 1 and less than or equal to N.
  • F is the frequency-domain sample points corresponding to the downlink bandwidth of the communication device; or, F is the number of time-domain samples corresponding to the downlink bandwidth of the communication device.
  • step 2041 For examples related to the downlink bandwidth and the number of samples in the frequency domain as well as the downlink bandwidth and the number of samples in the time domain, reference may be made to the relevant introduction of the aforementioned step 2041 , which will not be repeated here.
  • F may be the number of frequency-domain samples (also called the number of subcarriers) occupied by the signal S 1 and the signal S 2 respectively. If the signal S 1 and the signal S 2 are time-domain signals respectively, then F may be the number of time-domain samples occupied by the signal S 1 and the signal S 2 respectively.
  • the first precoding weights in step 301 above include precoding weights corresponding to multiple signal transmission directions.
  • the first precoding weight is related to the first nonlinear interference channel information.
  • the first nonlinear interference channel information indicates the first covariance matrix R dl1 , and the first precoding weight P dl1 is obtained based on the first covariance matrix R dl1 .
  • the first covariance matrix R dl1 is a covariance matrix of the channel between the transmit antenna and the first nonlinear interference source.
  • the first covariance matrix is an N*N-dimensional matrix, where N is the number of transmitting antennas, and N is an integer greater than or equal to 2.
  • the first precoding weight may be determined by the communication device according to the first covariance matrix R dl1 ; or, the first precoding weight may be determined by other communication devices according to the first covariance matrix R dl1 , specifically This application is not limited.
  • the following describes an implementation manner in which the communication device determines the first precoding weight according to the first covariance matrix Rdl1 as an example. The following will introduce in conjunction with step a to step c.
  • Step a performing singular value decomposition on the first covariance matrix R dl1 to obtain the first left singular matrix U 1 of the first covariance matrix R dl1 ;
  • R dl1 is the first covariance matrix
  • the first left singular matrix U 1 is an N*N-dimensional matrix
  • N is the number of transmitting antennas of the communication device.
  • V 1 is an N*N-dimensional matrix, and V 1 is the right singular matrix of the first covariance matrix R dl1 .
  • V 1 H is the conjugate transpose of V 1 .
  • ⁇ 1 is a diagonal matrix of N*N dimensions.
  • the corresponding main diagonal element on the kth column vector of ⁇ 1 is the singular value corresponding to the kth column vector of the first left singular matrix U1.
  • k is an integer greater than or equal to 1 and less than or equal to N.
  • the main diagonal elements of ⁇ 1 are all greater than 0, and the other elements in ⁇ 1 except the main diagonal elements are all 0.
  • Step b Select the first Z column vectors from the first left singular matrix U 1 , Z is an integer greater than or equal to 1 and less than N;
  • the first Z column vectors are [u dl,1 , u dl,2 , . . . u dl,Z ].
  • u dl,a is the ath column vector in U 1 , and a is an integer greater than or equal to 1 and less than or equal to Z.
  • Step c Conjugate the first Z column vectors to obtain the first precoding weight P dl1 .
  • the first precoding weight vector Indicates that the elements in the vector u dl,a are conjugated.
  • the first left singular matrix U 1 includes nonlinear interference channel information of multiple signal transmission directions.
  • the communication device may determine the first precoding weight in combination with the nonlinear interference channel information included in the first Z column vectors. Therefore, the communication device can accurately obtain the channel information of the nonlinear interference source in the signal transmission direction corresponding to the first Z column vectors. There is no need to scan beams to determine nonlinear interfering channel information. The energy consumption cost caused by beam scanning is saved, and the accuracy of nonlinear interference channel information obtained by communication equipment is improved.
  • Implementation manner 2 the first nonlinear interference channel information indicates the first interference space D dl1 .
  • the first precoding weight P dl1 is obtained based on the first interference space D dl1 .
  • the first interference space D dl1 is the channel space between the transmit antenna and the first nonlinear interference source.
  • the first precoding weight value may be determined by the communication device according to the first interference space Ddl1 ; or, the first precoding weight value may be determined by other communication devices according to the first interference space Ddl1 .
  • No limit. The following describes an implementation manner in which the communication device determines the first precoding weight according to the first interference space D dl1 as an example. The following will introduce in conjunction with step d to step e.
  • Step d Select the first Z column vectors from the first interference space D dl1 .
  • Z is an integer greater than or equal to 1 and less than or equal to the number of columns of the first interference space Ddl1 .
  • the first Z column vectors are [d dl,1 , d dl,2 , . . . d dl,Z ], and d dl,a is the ath column vector of the first interference space D dl1 .
  • a is an integer greater than or equal to 1 and less than or equal to Z.
  • Step e Conjugate the first Z column vectors to obtain the first precoding weight P dl1 .
  • the first precoding weight are respectively the a-th column vector in the first interference space D dl1 .
  • a is an integer greater than or equal to 1 and less than or equal to Z.
  • vector Indicates that the elements in the vector d dl,a are conjugated.
  • Each column vector in the above-mentioned first interference space corresponds to a signal transmission direction.
  • Each column vector in the first interference space includes nonlinear interference channel information corresponding to a signal transmission direction.
  • the communication device may determine the first precoding weight according to the nonlinear interference channel information included in the first Z column vectors. Therefore, the communication device can accurately obtain the channel information of the nonlinear interference source in the signal transmission direction corresponding to the first Z column vectors. There is no need to scan beams to determine nonlinear interfering channel information. The energy consumption cost caused by beam scanning is saved, and the accuracy of nonlinear interference channel information obtained by communication equipment is improved.
  • the first nonlinear interference channel indicates the first interference channel H dl1 .
  • the first interference channel H dl1 is a channel between the transmit antenna and the first nonlinear interference source.
  • the first precoding weight Pdl1 is obtained based on the first interference channel Hdl1 .
  • the first precoding weight Pdl1 may be determined by the communication device according to the first interference channel Hdl1 ; or, the first precoding weight Pdl1 is determined by other communication devices according to the first interference channel Hdl1 , the specific application is not limited.
  • the following describes an implementation manner in which the communication device determines the first precoding weight Pdl1 according to the first interference channel Hdl1 as an example. The following will introduce in conjunction with step f to step h.
  • Step f Select the first Z column vectors from the first interfering channel Hdl1 .
  • Z is the column number greater than or equal to 1 and less than or equal to the first interference channel Hdl1 .
  • the first Z column vectors are [ hdl,1 , hdl,2 , ... hdl,Z ].
  • h dl,a is the ath column vector of the first interfering channel H dl1 .
  • Step g Perform normalization processing on the first Z column vectors respectively to obtain the first Z column vectors after normalization processing;
  • Step h Conjugate the first Z column vectors after normalization processing respectively to obtain the first precoding weight P dl1 .
  • Each column vector in the first interference channel H dl1 corresponds to a signal transmission direction.
  • Each column vector in the first interference channel H dl1 includes nonlinear interference information corresponding to a signal transmission direction.
  • the communication device determines the first precoding weight according to the nonlinear interference channel information included in the first Z column vectors. In this way, the communication device can accurately acquire the channel information of the nonlinear interference source in the signal transmission direction corresponding to the first Z column vectors. There is no need to scan beams to determine nonlinear interfering channel information. The energy consumption cost caused by beam scanning is saved, and the accuracy of nonlinear interference channel information obtained by communication equipment is improved.
  • Step 302 is similar to step 202 in the above-mentioned embodiment shown in FIG. 2A .
  • Step 302 is similar to step 202 in the above-mentioned embodiment shown in FIG. 2A .
  • Step 303 to Step 304 may be performed after step 302 .
  • Steps 303 to 304 are similar to steps 203 to 204 in the above-mentioned embodiment shown in FIG. 2A .
  • steps 303 to 304 are similar to steps 203 to 204 in the above-mentioned embodiment shown in FIG. 2A .
  • Step 305 to Step 310 may be performed after step 304 .
  • the first condition includes at least one of the following: the number of iterations corresponding to the second nonlinear interference channel information is greater than or equal to the first preset threshold, the difference between the first nonlinear interference signal and the second nonlinear interference signal The absolute value of the power difference is less than or equal to the second preset threshold.
  • the above step 301 to step 304 can be understood as an iterative process for the communication device to acquire nonlinear interference channel information.
  • the device obtains the second nonlinear interference channel information by performing the above iterative process multiple times.
  • the number of iterations corresponding to the second nonlinear interference channel information may be understood as the number of iterations corresponding to the communication device acquiring the second nonlinear interference channel information.
  • the communication device sets the first preset threshold and the second preset threshold in combination with empirical values obtained through simulation or testing.
  • the first preset threshold may be 3 or 4.
  • the second preset threshold may be 0.1dB (decibel).
  • the second precoding weight is related to the second nonlinear interference channel information.
  • the second precoding weight is similar to the first precoding weight, for details, please refer to the relevant introduction of the first precoding weight in step 301 above, and details are not repeated here.
  • the first precoding weight is the precoding weight corresponding to the three signal transmission directions determined from the first nonlinear interference channel information.
  • the second precoding weight is the precoding weight corresponding to the three signal transmission directions determined from the second nonlinear interference channel information.
  • the third nonlinear interference signal is a nonlinear interference signal obtained by exciting a third nonlinear interference source with at least two third signals.
  • Step 302 is similar to step 202 in the above-mentioned embodiment shown in FIG. 2A .
  • Step 302 is similar to step 202 in the above-mentioned embodiment shown in FIG. 2A .
  • Steps 308 to 309 are similar to steps 203 to 204 in the above-mentioned embodiment shown in FIG. 2A .
  • steps 203 to 204 in the above-mentioned embodiment shown in FIG. 2A , which will not be repeated here.
  • the communication device may determine whether the first condition is met. If yes, the communication device outputs the third nonlinear interference channel information; if not, the communication device performs an iterative process similar to the above steps 306 to 309 in combination with the third nonlinear interference channel information.
  • the communication device may acquire nonlinear interference channel information in three signal transmission directions corresponding to the second precoding weight through multiple iterations. Therefore, the accuracy of the non-linear interference channel information acquired by the communication device in the three signal transmission directions is improved.
  • the communication device may output second nonlinear interference channel information.
  • the communication device acquires the channel information of the three nonlinear interference sources through the method of the embodiment shown in FIG. 3 above.
  • the abscissa in FIG. 4 represents the index of the nonlinear interference source.
  • the index of the first nonlinear interferer is 1
  • the index of the second nonlinear interferer is 2
  • the index of the sixth nonlinear interferer is 6.
  • the ordinate of FIG. 4 represents the error between the spatial direction of the nonlinear interferer and the actual spatial direction of the nonlinear interferer.
  • iteration (Interation) 0 represents the error between the spatial directions of the six nonlinear interference sources obtained by the communication device through an iterative process and the actual spatial directions of the six nonlinear interference sources.
  • Interation1 represents an error between the spatial directions of the six nonlinear interference sources obtained by the communication device through two iterations and the actual spatial directions of the six nonlinear interference sources.
  • Interation2 represents an error between the spatial directions of the six nonlinear interference sources obtained by the communication device through three iterations and the actual spatial directions of the six nonlinear interference sources.
  • the error between the spatial direction of the nonlinear interference source obtained by the communication device and the actual spatial direction of the nonlinear interference source is less than -15 dB.
  • the spatial direction of the first nonlinear interference source obtained by the communication device through three iterations is expressed as vector 3, and the actual spatial direction of the first nonlinear interference source is vector 4. Both vector 3 and vector 4 are normalized vectors.
  • the error between the spatial direction of the first nonlinear interference source acquired by the communication device and the actual spatial direction of the first nonlinear interference source is expressed as: 10*log 10 (1-a 1 2 ), a 1 is a vector Inner product of 3 and vector 4. It can be known from the above Fig. 4 that 10*log 10 (1-a 1 2 ) is less than -15dB.
  • the communication device can obtain the nonlinear interference channel information obtained in the last iteration process.
  • the communication device can perform some corresponding operations according to the nonlinear interference channel information. For details, please refer to the relevant introduction in step 204 in the embodiment shown in FIG. 2A , and details will not be repeated here.
  • the communication device generates at least two first signals according to the first precoding weight, and outputs at least two first signals.
  • the first precoding weight is related to the first nonlinear interference channel information. That is, the first precoding weight is obtained based on the first nonlinear interference channel information.
  • the communication device does not need to scan the beam to determine the downlink sending beam. In this way, the time consumption caused by scanning the beams and the energy consumption caused by scanning the beams are avoided. Save energy consumption of communication equipment.
  • the first precoding weight is related to the first nonlinear interference channel information, which can improve the accuracy of the nonlinear interference channel information acquired by the communication device.
  • FIG. 5A is a schematic diagram of another embodiment of a communication processing method according to an embodiment of the present application.
  • the communication processing method includes:
  • the first precoding weight is obtained based on the first initial precoding weight and the first interference weight.
  • the first initial precoding weight and the first interference weight are obtained based on the first nonlinear channel information.
  • step 201 for the relevant introduction of the first nonlinear interference source, please refer to the relevant introduction of step 201 in the embodiment shown in FIG. 2A , which will not be repeated here.
  • the first initial precoding weight is obtained based on the first nonlinear interference channel information.
  • the first nonlinear interference channel information indicates the first covariance matrix R dl1 , and the first initial precoding weight is obtained based on the first covariance matrix R dl1 .
  • the first covariance matrix R dl1 is the covariance matrix of the channel between the transmitting antenna and the first nonlinear interference source.
  • the first initial precoding weight may be determined by the communication device according to the first covariance matrix R dl1 ; or, the first initial precoding weight may be determined by other communication devices according to the first covariance matrix R dl1 , the specific application is not limited.
  • the communication device determines the first initial precoding weight according to the first covariance matrix R dl1 as an example.
  • the specific process please refer to the related introduction in FIG. 8 later.
  • the first nonlinear interference channel information indicates the first interference space D dl1 , and the first initial precoding weight is obtained based on the first interference space D dl1 .
  • the first interference space D dl1 is the channel interference space between the transmit antenna and the first nonlinear interference source.
  • the first initial precoding weight may be determined by the communication device according to the first interference space D dl1 ; or, the first initial precoding weight may be determined by other communication devices according to the first interference space D dl1 , specifically This application is not limited.
  • the communication device determines the first initial precoding weight according to the first interference space D dl1 as an example.
  • the specific process please refer to the related introduction of the embodiment shown in FIG. 9 later.
  • the first nonlinear interference channel information indicates the first interference channel H dl1 , and the first initial precoding weight is obtained based on the first interference channel H dl1 .
  • the first interference channel H dl1 is a channel between the transmit antenna and the first nonlinear interference source.
  • the first initial precoding weight may be determined by the communication device according to the first interference channel Hdl1 ; or, the first initial precoding weight may be determined by other communication devices according to the first interference channel Hdl1 , specifically This application is not limited.
  • the communication device determines the first initial precoding weight according to the first interference channel Hdl1 as an example.
  • the specific process please refer to the relevant introduction of the embodiment shown in FIG. 10 .
  • Implementation manner 4 the first initial precoding weight is obtained based on the first nonlinear interference signal.
  • the first initial precoding weight may be determined by the communication device according to the first nonlinear interference signal; or, the first initial precoding weight may be determined by other communication devices according to the first nonlinear interference signal, specifically This application is not limited.
  • the communication device determines the first initial precoding weight according to the first nonlinear interference signal as an example.
  • the specific process please refer to the related introduction of the embodiment shown in FIG. 11 .
  • the first precoding weight is a precoding weight corresponding to the first signal transmission direction.
  • the first nonlinear interference channel information includes nonlinear interference channel information of multiple signal transmission directions.
  • the multiple signal transmission directions include spatial directions where nonlinear interference sources are located in all transmission spaces covered by the transmission antenna of the communication device.
  • the first signal transmission direction can generally be understood as a spatial direction where a nonlinear interference source with a relatively large power of the nonlinear interference signal is located.
  • the at least two second signals are signal X3 and signal X4 respectively.
  • W dl0 is an N*N-dimensional identity matrix
  • P dl0 is an N*N-dimensional matrix
  • N is the number of transmitting antennas.
  • the signal S 3 and the signal S 4 are respectively N*F dimensional signals.
  • the signal S 3 and the signal S 4 are N*F dimensional frequency domain signals or time domain signals respectively.
  • F may be the number of frequency - domain samples (also called the number of subcarriers ) occupied by the signal S3 and the signal S4 respectively. If the signal S 3 and the signal S 4 are time-domain signals respectively, then F may be the number of time-domain samples occupied by the signal S 3 and the signal S 4 respectively.
  • the communication device transmits at least two second signals in the entire transmitting space covered by the transmitting antenna. If there are nonlinear interference sources in six signal transmission directions in the entire transmission space covered by the transmission antenna of the communication device, the at least two second signals excite the nonlinear interference sources in the six signal transmission directions to obtain nonlinear interference Signal.
  • the communication device receives the nonlinear interference signal, and determines first nonlinear interference channel information according to the nonlinear interference signal.
  • the first nonlinear interference channel information includes nonlinear interference channel information of the six signal transmission directions.
  • the first initial precoding weight P dl1 can be acquired through the first nonlinear interference channel information, and the specific acquisition method can refer to the relevant introduction later.
  • the first interference weight W dl1 is an interference weight corresponding to the first signal transmission direction.
  • the first precoding weight is P dl1 *W dl0 .
  • the at least two first signals include signal X1 and signal X2.
  • Signal S 1 and signal S 2 are signals without precoding processing.
  • the signal S 1 and the signal S 2 are respectively 1*F-dimensional frequency domain signals or time domain signals. If the signal S 1 and the signal S 2 are frequency domain signals respectively, then F may be the number of frequency domain samples occupied by the signal S 1 and the signal S 2 respectively. If the signal S 1 and the signal S 2 are time-domain signals respectively, then F may be the number of time-domain samples occupied by the signal S 1 and the signal S 2 respectively.
  • F is the frequency-domain sample points corresponding to the downlink bandwidth of the communication device; or, F is the number of time-domain samples corresponding to the downlink bandwidth of the communication device.
  • step 2041 For examples related to the downlink bandwidth and the number of samples in the frequency domain as well as the downlink bandwidth and the number of samples in the time domain, reference may be made to the relevant introduction of the aforementioned step 2041 , which will not be repeated here.
  • the first precoding weight is a precoding weight corresponding to the second signal transmission direction.
  • the first nonlinear interference channel information includes nonlinear interference channel information in a part of signal transmission directions.
  • k there are k signal transmission directions in the entire transmission space covered by the transmission antenna of the communication device, and nonlinear interference sources exist. Part of the emission space includes other signal emission directions than the first signal emission direction. k is an integer greater than or equal to 2 and less than or equal to N.
  • the power of the nonlinear interference signal of the nonlinear interference source in the first signal transmission direction is generally greater than the power of the nonlinear interference signal of the nonlinear interference source in the second signal transmission direction.
  • the at least two second signals are signal X3 and signal X4 respectively.
  • P dl0 is an N*N-dimensional matrix, and N is the number of transmitting antennas.
  • w dl1 is the first initial precoding weight P dl1 , is the conjugate transpose of w dl1 .
  • W dl2 can be understood as the interference weight corresponding to the second signal transmission direction.
  • W dl1 W dl0 , where W dl0 is an N*N-dimensional identity matrix.
  • the signal S 3 and the signal S 4 are respectively N*F dimensional signals.
  • the signal S 3 and the signal S 4 are N*F dimensional frequency domain signals or time domain signals respectively.
  • F may be the number of frequency - domain samples (also called the number of subcarriers ) occupied by the signal S3 and the signal S4 respectively. If the signal S 3 and the signal S 4 are time-domain signals respectively, then F may be the number of time-domain samples occupied by the signal S 3 and the signal S 4 respectively.
  • the communication device transmits at least two second signals in a part of the transmitting space covered by the transmitting antenna. If there are nonlinear interference sources in five signal transmission directions in part of the transmission space covered by the transmission antenna of the communication device, the at least two second signals excite the nonlinear interference sources in the five signal transmission directions to obtain nonlinear interference Signal.
  • the communication device receives the nonlinear interference signal, and determines first nonlinear interference channel information according to the nonlinear interference signal.
  • the first nonlinear interference channel information includes nonlinear interference channel information in the five signal transmission directions.
  • the first initial precoding weight P dl2 can be acquired through the first nonlinear interference channel information, and the specific acquisition method can refer to related introductions below.
  • the first interference weight W d12 is an interference weight corresponding to the second signal transmission direction.
  • the first interference weight W dl2 satisfies Then the first precoding weight is P dl2 *W dl2 .
  • the at least two first signals include signal X1 and signal X2.
  • Signal S 1 and signal S 2 are signals without precoding processing.
  • the signal S 1 and the signal S 2 are respectively 1*F-dimensional frequency domain signals or time domain signals.
  • F may be the number of frequency-domain samples (also called the number of subcarriers) occupied by the signal S 1 and the signal S 2 respectively.
  • F may be the number of time-domain samples occupied by the signal S 1 and the signal S 2 respectively.
  • the communication device when the communication device acquires the nonlinear interference channel information corresponding to the second signal transmission direction, it avoids the interference of the nonlinear interference signal in the first signal transmission direction. Therefore, the accuracy of the non-linear interference channel information obtained by the communication device in the second signal transmission direction is improved.
  • the first precoding weight is a precoding weight corresponding to the g-th signal transmission direction.
  • the first nonlinear interference channel information includes nonlinear interference channel information in a part of signal transmission directions.
  • k is an integer greater than or equal to 2 and less than or equal to N.
  • g is an integer greater than or equal to 3 and less than or equal to N.
  • the power of the nonlinear interference signal of the nonlinear interference source in the first g-1 signal transmission directions is generally greater than the nonlinear interference signal of the nonlinear interference source in the g-th signal transmission direction power.
  • the at least two second signals are signal X3 and signal X4 respectively.
  • P dl0 is an N*N-dimensional matrix, and N is the number of transmitting antennas.
  • W dlg is the interference weight corresponding to the gth signal transmission direction.
  • w dl,(g-1) is P dl(g-1) , is the conjugate transpose of w dl,(g-1) .
  • W dl(g-1) is the interference weight corresponding to the g-1th signal transmission direction.
  • P dl(g-1) is the initial precoding weight corresponding to the g-1th signal transmission direction.
  • the signal S 3 and the signal S 4 are respectively N*F dimensional signals.
  • the signal S 3 and the signal S 4 are N*F dimensional frequency domain signals or time domain signals respectively.
  • F may be the number of frequency - domain samples (also called the number of subcarriers ) occupied by the signal S3 and the signal S4 respectively. If the signal S 3 and the signal S 4 are time-domain signals respectively, then F may be the number of time-domain samples occupied by the signal S 3 and the signal S 4 respectively.
  • the communication device transmits at least two second signals in a part of the transmitting space covered by the transmitting antenna. If there are nonlinear interference sources in N-g+1 signal transmission directions in the part of the transmission space covered by the transmission antenna of the communication device, the at least two second signals excite the N-g+1 signal transmission directions A nonlinear interference source results in a nonlinear interference signal.
  • the communication device receives the nonlinear interference signal, and determines first nonlinear interference channel information according to the nonlinear interference signal.
  • the first nonlinear interference channel information includes nonlinear interference channel information in the N-g+1 signal transmission directions.
  • the first initial precoding weight P dlg can be acquired through the first nonlinear interference channel information, and the specific acquisition method can refer to the relevant introduction later.
  • the first interference weight W dlg satisfies Then the first precoding weight is P dlg *W dlg .
  • the at least two first signals include signal X1 and signal X2.
  • Signal S 1 and signal S 2 are signals without precoding processing.
  • the signal S 1 and the signal S 2 are respectively 1*F-dimensional frequency domain signals or time domain signals.
  • F may be the number of frequency-domain samples occupied by the signal S 1 and the signal S 2 respectively.
  • F may be the number of time-domain samples occupied by the signal S 1 and the signal S 2 respectively.
  • the communication device when the communication device acquires the nonlinear interference channel information corresponding to the g-th signal transmission direction, it avoids the interference of the nonlinear interference signal in the previous g-1 signal transmission directions. Therefore, the accuracy of the non-linear interference channel information obtained by the communication device in the g-th signal transmission direction is improved.
  • the communication device performs re-orthogonalization processing and normalization processing on w dl,(g-1) to obtain w' dl,(g-1) . Then, the communication device calculates the first interference weight W dlg according to w' dl,(g-1) .
  • the first interference weight Alternatively, the first interference weight
  • I is an N*N-dimensional matrix.
  • the communication device cyclically executes the calculations of the following formula 1 and formula 2 to obtain w' dl,(g-1) .
  • c is an integer greater than or equal to 1 and less than or equal to g-1.
  • the communication device performs re-orthogonalization processing and normalization processing on w dl,(g-1) . Then, the communication device determines W dlg . In this way, the communication device can better avoid the interference of the nonlinear interference signals in the first g-1 signal transmission directions when acquiring the nonlinear interference channel information in the g-th signal transmission direction. Therefore, the accuracy of the non-linear interference channel information obtained by the communication device in the g-th signal transmission direction is improved.
  • Steps 502 to 504 are similar to steps 202 to 204 in the above-mentioned embodiment shown in FIG. 2A .
  • steps 202 to 204 in the above-mentioned embodiment shown in FIG. 2A , and will not be repeated here.
  • the communication device generates at least two first signals according to the first precoding weight, and outputs at least two first signals.
  • the first precoding weight is obtained based on the first initial precoding weight and the first interference weight.
  • the first initial precoding weight and the first interference weight are obtained based on the first nonlinear channel information.
  • the communication device does not need to scan the beam to determine the downlink sending beam.
  • the time consumption caused by scanning the beams and the energy consumption caused by scanning the beams are avoided. Save energy consumption of communication equipment.
  • the first precoding weight is obtained based on the first initial precoding weight and the first interference weight.
  • the first initial precoding weight and the first interference weight are obtained based on the first nonlinear channel information. In this way, the accuracy of nonlinear interference channel information obtained by the communication device can be improved.
  • Step 505 to Step 510 may be performed after step 504 .
  • step 505. Determine whether the nonlinear interference channel information of N signal transmission directions is obtained; if yes, perform step 510; if not, perform step 506.
  • the total number of signal transmission directions covered by the transmission antenna of the communication device is six.
  • the communication device judges whether the non-linear interference channel information of the six signal transmission directions is obtained; if yes, execute step 510; if not, execute step 506.
  • the fourth precoding weight is obtained based on the second initial precoding weight and the second interference weight.
  • the second initial precoding weight and the second interference weight are obtained based on the first nonlinear interference channel information.
  • the first precoding weight is the precoding weight corresponding to the first signal transmission direction.
  • the fourth precoding weight is the precoding weight corresponding to the second signal transmission direction.
  • the second initial precoding weights are similar to the first initial precoding weights.
  • the second interference weight is similar to the first interference weight.
  • For a specific introduction about the second interference weight refer to the above-mentioned introduction about the first interference weight, which will not be repeated here.
  • Steps 507 to 509 are similar to the aforementioned steps 502 to 504. For details, please refer to the relevant introductions of the aforementioned steps 502 to 504, which will not be repeated here.
  • the communication device may output second nonlinear interference channel information.
  • second nonlinear interference channel information please refer to related introductions in step 204 in the embodiment shown in FIG. 2A , and details are not repeated here.
  • the above embodiment shown in FIG. 5A further includes steps 504a to 504d.
  • Step 504 a to step 504 f may be performed after step 504 .
  • step 504a to step 504f are performed before step 505 .
  • 504a Determine whether the first condition is met, if yes, execute step 504f, if not, execute step 504b.
  • 504b Generate at least two fourth signals according to the third precoding weight
  • the third precoding weight is obtained based on the third initial precoding weight and the first interference weight.
  • the third initial precoding weight is obtained based on the second nonlinear interference channel information.
  • the first interference weight is obtained based on the first nonlinear interference weight.
  • the third precoding weight is equal to the third initial precoding weight multiplied by the first interference weight.
  • the first initial precoding weight is the initial precoding weight corresponding to the first signal transmission direction determined from the first nonlinear interference channel information.
  • the third initial precoding weight is the initial precoding weight corresponding to the first signal transmission direction determined from the second nonlinear interference channel information.
  • the third initial precoding weight is similar to the first initial precoding weight.
  • For the determination process of the third initial precoding weight refer to the correlation of the first precoding weight in step 501 in the embodiment shown in FIG. 5A. Introduction, no more details here.
  • 504c output at least two fourth signals
  • 504e Determine fourth nonlinear interference channel information according to the fourth nonlinear interference signal.
  • the communication device obtains a precoding weight corresponding to a signal transmission direction through multiple iterations. Therefore, the accuracy of the non-linear interference channel information acquired by the communication device in the signal transmission direction is improved.
  • Steps 504c to 504f are similar to steps 305 to 310 in the above-mentioned embodiment shown in FIG. 3 .
  • steps 305 to 310 in the above-mentioned embodiment shown in FIG. 3 please refer to the specific introduction of steps 305 to 310 in the above-mentioned embodiment shown in FIG. 3 , which will not be repeated here.
  • the communication device obtains the channel information of the nonlinear interference source in the first signal transmission direction through the communication processing method of the embodiment shown in FIG. 5A and FIG. 5B .
  • the abscissa in FIG. 6 represents the index of the nonlinear interference source.
  • the index of the first nonlinear interferer is 1, the index of the second nonlinear interferer is 2, and so on, the index of the sixth nonlinear interferer is 6.
  • the ordinate of FIG. 6 represents the error between the spatial direction of the nonlinear interferer and the actual spatial direction of the nonlinear interferer.
  • the communication device obtains the channel information of the fourth nonlinear interference source through three iterations.
  • An error between the spatial direction of the fourth nonlinear interference source obtained by the communication device and the actual spatial direction of the fourth nonlinear interference source is less than -15 dB.
  • the communication device obtains the channel information of the nonlinear interference source in the second signal transmission direction through the communication processing method of the embodiment shown in FIG. 5A and FIG. 5B .
  • the communication device obtains the channel information of the second nonlinear interference source through three iterations.
  • An error between the spatial direction of the second nonlinear interference source acquired by the communication device and the actual spatial direction of the second nonlinear interference source is less than -15 dB.
  • FIG. 8 is a schematic diagram of another embodiment of a communication processing method according to an embodiment of the present application.
  • communication processing methods include:
  • U 1 is an N*N-dimensional matrix, and N is the number of transmitting antennas of the communication device.
  • V 1 is an N*N-dimensional matrix, and V 1 is the right singular matrix of the first covariance matrix R dl1 .
  • V 1 H is the conjugate transpose of V 1 .
  • ⁇ 1 is a diagonal matrix of N*N dimensions.
  • the corresponding main diagonal element on the k-th column vector of ⁇ 1 is the singular value corresponding to the k-th column vector of U 1 .
  • k is an integer greater than or equal to 1 and less than or equal to N.
  • the main diagonal elements of ⁇ 1 are all greater than 0, and the other elements in ⁇ 1 except the main diagonal elements are all 0.
  • the communication device selects the first column vector from U1, and performs conjugate processing on the first column vector to obtain the first precoding weight.
  • the first initial precoding weight is the initial precoding weight P dl1 corresponding to the first signal transmission direction. Indicates to take the conjugate of the elements in the vector u 1 .
  • u1 is the first column vector in the first left singular matrix U1.
  • the first left singular matrix U1 includes nonlinear channel information between the transmitting antenna and the nonlinear interference source in multiple signal transmitting directions.
  • the communication device may determine the first initial precoding weight of the signal transmission direction currently to be processed through the foregoing steps 801 to 802 . In this way, the accuracy of the nonlinear interference channel information of the signal transmission direction subsequently acquired by the communication device can be improved. And it is beneficial to speed up the convergence and effectively reduce the number of iterations. There is no need to scan beams to determine nonlinear interfering channel information. The energy consumption cost caused by beam scanning is saved, and the accuracy of nonlinear interference channel information obtained by communication equipment is improved.
  • FIG. 9 is a schematic diagram of another embodiment of a communication processing method according to an embodiment of the present application.
  • the communication processing methods include:
  • the first initial precoding weight is the initial precoding weight P dl1 corresponding to the first signal transmission direction. Indicates to take the conjugate of the elements in the vector d 1 . d1 is the first column vector in the first interference space Ddl1 .
  • each column vector in the first interference space D dl1 corresponds to a signal transmission direction.
  • Each column vector in the first interference space D dl1 includes nonlinear interference channel information corresponding to a signal transmission direction.
  • the nonlinear interference channel information is nonlinear channel information between the transmitting antenna in the signal transmitting direction and the nonlinear interference source.
  • the communication device determines the first initial precoding weight of the signal transmission direction currently to be processed from the first interference space Ddl1 . In this way, the accuracy of the nonlinear interference channel information of the signal transmission direction subsequently acquired by the communication device can be improved. It is beneficial to speed up the convergence and effectively reduce the number of iterations. There is no need to scan beams to determine nonlinear interfering channel information. The energy consumption cost caused by beam scanning is saved, and the accuracy of nonlinear interference channel information obtained by communication equipment is improved.
  • FIG. 10 is a schematic diagram of another embodiment of a communication processing method according to an embodiment of the present application. Please refer to Figure 10, the communication processing method includes:
  • the foregoing steps 1001 to 1002 are introduced by taking the communication device determining the initial precoding weight corresponding to the first signal transmission direction as an example. The same applies to the process of determining initial precoding weights corresponding to other signal transmission directions.
  • each column vector in the first interference channel Hdl1 corresponds to a signal transmission direction.
  • Each column vector in the first interference channel includes nonlinear interference channel information corresponding to a signal transmission direction.
  • the nonlinear interference channel information is nonlinear channel information between the transmitting antenna in the signal transmitting direction and the nonlinear interference source.
  • the communication device may determine the first initial precoding weight of the signal transmission direction currently to be processed through the above steps 1001 to 1002. In this way, the accuracy of the nonlinear interference channel information of the signal transmission direction subsequently acquired by the communication device can be improved. It is beneficial to speed up the convergence and effectively reduce the number of iterations. There is no need to scan beams to determine nonlinear interfering channel information. The energy consumption cost caused by beam scanning is saved, and the accuracy of nonlinear interference channel information obtained by communication equipment is improved.
  • FIG. 11 is a schematic diagram of another embodiment of a communication processing method according to an embodiment of the present application. Please refer to Figure 11, the communication processing method includes:
  • step 1101 there are many ways for the communication device to determine the first signal receiving weight according to the first nonlinear interference signal, and several possible implementation ways are shown below. It should be noted that the implementation manner shown below is only an example, and does not limit the present application. For other implementations, this application is still applicable.
  • Step 1101a Average the column vectors corresponding to each time-domain sample point or each frequency-domain sample point in the first nonlinear interference signal Y 1 to obtain a first intermediate matrix.
  • the first intermediate matrix Z′ ul1 satisfies
  • T is the number of samples in the time domain or the number of samples in the frequency domain for the communication device to receive the first nonlinear interference signal.
  • y t is a column vector corresponding to the t-th time-domain sample point or the t-th frequency-domain sample point in the first nonlinear interference signal Y 1 .
  • the uplink bandwidth of the communication device is 5 Mb (Mega), and the subcarrier spacing used by the communication device is 15 KHz (Kilo Hertz). Then the communication device occupies 300 subcarriers in the frequency domain. 300 subcarriers correspond to 300 frequency domain samples, therefore, L is 300. If the communication device includes 10 transmitting antennas, then the first nonlinear interference signal Y 1 is a 10*300-dimensional matrix. Then each frequency domain sample point corresponds to a column vector. The first subcarrier corresponds to the first column vector in the first nonlinear interference signal Y1 . The second subcarrier corresponds to the second column vector in the first nonlinear interference signal Y1 . By analogy, the 300th subcarrier corresponds to the 300th column vector in the first nonlinear interference signal Y1 .
  • the uplink bandwidth of the communication device is 5 Mb (Mega), and the subcarrier spacing used by the communication device is 15 KHz (Kilo Hertz). Then the communication device occupies 300 subcarriers in the frequency domain. The communication device performs Fourier transform on the frequency-domain signal carried by 300 subcarriers to obtain a time-domain signal, and the time-domain signal includes 512 time-domain samples. Therefore, L is 512. If the communication device includes 10 transmit antennas, then the first nonlinear interference signal Y 1 is a 10*512-dimensional matrix.
  • the first time-domain sample point corresponds to the first column vector in the first nonlinear interference signal Y 1
  • the second time-domain sample point corresponds to the second column vector in the first nonlinear interference signal Y 1
  • the 300th time-domain sample point corresponds to the 300th column vector in the first nonlinear interference signal Y 1 .
  • Step 1101b Perform normalization processing on the first intermediate matrix to obtain the first signal receiving weight.
  • the first signal receiving weight Z ul1 satisfies Z ul1 is the first signal receiving weight
  • Z' ul1 is the first intermediate matrix
  • is the modulus of Z' ul1 .
  • Step 1101c Determine the column vector corresponding to the t-th time-domain sample point or the t-th frequency-domain sample point in the first nonlinear interference signal Y1 .
  • t is an integer greater than or equal to 1 and less than or equal to T
  • T is the number of samples in the time domain or the number of samples in the frequency domain at which the communication device receives the first nonlinear interference signal.
  • Step 1101d Perform normalization processing on the column vector to obtain the first signal receiving weight.
  • the first signal receiving weight Z ul1 satisfies Z ul1 is the first signal receiving weight
  • y t is a column vector corresponding to the t-th time-domain sample point or the t-th frequency-domain sample point in the first nonlinear interference signal Y 1 .
  • is the modulo of y t .
  • Step 1101e Average the column vectors corresponding to each time-domain sample point or each frequency-domain sample point in the first nonlinear interference signal Y 1 to obtain a first intermediate matrix.
  • Step 1101e is similar to step 1101a in the aforementioned implementation mode 1.
  • Step 1101e is similar to step 1101a in the aforementioned implementation mode 1.
  • Step 1101f Calculate the second intermediate matrix by using the Rayleigh quotient, Z' ul1 and the fourth covariance matrix R ul1 .
  • the second intermediate matrix satisfies
  • Z′′ ul1 is the second intermediate matrix, about
  • For related introductions please refer to the related introductions about the first intermediate matrix in the aforementioned step 1101d, which will not be repeated here.
  • the fourth covariance matrix R ul1 is the covariance matrix of the channel between the first nonlinear interference source and the receiving antenna.
  • I is an M*M-dimensional identity matrix.
  • Step 1101g Perform normalization processing on the second intermediate matrix to obtain the first signal receiving weight.
  • the receiving weight of the first signal satisfies
  • Z ul1 is the first signal receiving weight
  • is the modulus of Z′′ ul1 .
  • step 1102 there are many ways for the communication device to determine the first initial precoding weight according to the first signal receiving weight, and several possible implementation ways are shown below. It should be noted that the implementation manner shown below is only an example, and does not limit the present application. For other implementations, this application is still applicable.
  • Implementation mode 1 is introduced below in conjunction with 1102a to 1102b.
  • Step 1102a Conjugate the first signal receiving weight Z ul1 to obtain a third intermediate matrix Z* ul1 .
  • Z* ul1 is an M*1-dimensional matrix, and M is the number of receiving antennas.
  • Step 1102b use the third intermediate matrix Z* ul1 as the first initial precoding weight.
  • the above implementation 1 is applicable to a scenario where the number of receiving antennas of the communication device is consistent with the number of transmitting antennas of the communication device, and the positions of the receiving antennas are consistent with the positions of the transmitting antennas.
  • Step 1102c Conjugate the first signal receiving weight Z ul1 to obtain a third intermediate matrix Z* ul1 .
  • Z* ul1 is an M*1-dimensional matrix.
  • the element corresponding to the rth row in Z* ul1 is the element corresponding to the rth receiving antenna of the communication device, r is an integer greater than or equal to 1 and less than or equal to M, and M is the number of receiving antennas.
  • Step 1102d Determine the receiving antenna closest to each transmitting antenna
  • Step 1102e use the element in the third intermediate matrix Z* ul1 corresponding to the receiving antenna closest to each transmitting antenna as the element corresponding to the transmitting antenna in the first initial precoding weight.
  • the first initial precoding weight is the initial precoding weight P dl1 corresponding to the first signal transmission direction.
  • the element corresponding to the wth row in Pdl1 is the element corresponding to the wth transmit antenna, and Pdl1 is an N*1-dimensional matrix.
  • N is the number of transmit antennas, and w is an integer greater than or equal to 1 and less than or equal to N.
  • the following describes the process for the communication device to determine the elements in Pdl1 .
  • the communication device respectively searches for the receiving antenna with the closest distance to each of the N transmitting antennas.
  • the communication device uses the element corresponding to the receiving antenna closest to the transmitting antenna in the third intermediate matrix Z* ul1 as the element corresponding to the transmitting antenna in Pdl1 .
  • the communication device searches for the receiving antenna v that is closest to the transmitting antenna w.
  • Z dl1 (w) is an element corresponding to the w-th receiving antenna in the third intermediate matrix Z* ul1
  • P dl1 (v) is an element corresponding to the v-th transmitting antenna in P dl1 .
  • w is an integer greater than or equal to 1 and less than or equal to N.
  • v is an integer greater than or equal to 1 and less than or equal to M.
  • the foregoing implementation manner 2 is applicable to a scenario where the number of transmitting antennas of the communication device is not equal to the number of receiving antennas of the communication device.
  • the above implementation mode 2 is also applicable to a scenario where the position of the transmitting antenna of the communication device is inconsistent with the position of the receiving antenna of the communication device.
  • Step 1102f Multiply the first signal receiving weight Z ul1 by the fourth transformation matrix D to obtain D*Z ul1 .
  • the fourth transformation matrix D is the relationship between the first signal receiving weight and the initial precoding weight determined according to the fourth simulation data.
  • the fourth simulation data includes multiple sets of historical signal reception weights and historical initial precoding weights obtained by traversing simulations in various nonlinear interference scenarios.
  • nonlinear interference scenarios please refer to related introductions in the foregoing embodiment shown in FIG. 3 , which will not be repeated here.
  • the fourth simulation data is acquired through various nonlinear interference scenarios.
  • the fourth simulation data includes and The value of i is an integer between [1, S5], S5 is the number of statistical samples, and S5 is an integer greater than 1. So Yes After matrix vectorization processing, Yes obtained through matrix vectorization. So, representative pair matrix pseudo-inverse operation. So,
  • Step 1102g Conjugate D*Z ul1 to obtain the first initial precoding weight.
  • the first initial precoding weight is the initial precoding weight P dl1 corresponding to the first signal transmission direction.
  • P dl1 (D*Z ul1 ) * .
  • the above implementation mode 3 is applicable to many scenarios.
  • the foregoing implementation manner 3 is applicable to a scenario where the number of transmitting antennas of the communication device is equal to or not equal to the number of receiving antennas.
  • the above implementation manner 3 is applicable to a scenario where the position of the transmitting antenna of the communication device is consistent or inconsistent with the position of the receiving antenna of the communication device.
  • the embodiments of the present application further provide corresponding apparatuses, including corresponding modules for executing the foregoing embodiments.
  • the modules may be software, or hardware, or a combination of software and hardware.
  • FIG. 12 shows a schematic structural diagram of a communication processing device.
  • the communication processing device 1200 may be a network device, or a terminal device, or a chip, a chip system or a processor that supports the network device to implement the above method, or a chip or a chip system that supports the terminal device to implement the above method , or processor, etc.
  • the communication processing apparatus 1200 may be used to implement the methods described in the foregoing method embodiments, and for details, refer to the descriptions in the foregoing method embodiments.
  • the communication processing apparatus 1200 may include one or more processors 1201, and the processors 1201 may also be referred to as processing units, and may implement certain control functions.
  • the processor 1201 may be a general-purpose processor or a special-purpose processor. For example, it could be a baseband processor or a central processing unit.
  • the baseband processor can be used to process the communication protocol and communication data
  • the central processor can be used to process the communication processing device (such as a base station, a baseband chip, a terminal, a terminal chip, a distributed unit (DU) or a centralized unit ( central unit, CU) etc.) to control, execute software programs, and process data of software programs.
  • DU distributed unit
  • central unit central unit
  • the processor 1201 may also store instructions and/or data 1203, and the instructions and/or data 1203 may be executed by the processor, so that the communication processing device executes the method described in the above-mentioned embodiment. Methods.
  • the processor 1201 may include a transceiver unit configured to implement receiving and sending functions.
  • the transceiver unit may be a transceiver circuit, or an interface, or an interface circuit.
  • the transceiver circuits, interfaces or interface circuits for realizing the functions of receiving and sending can be separated or integrated together.
  • the above-mentioned transceiver circuit, interface or interface circuit may be used for reading and writing code/data, or the above-mentioned transceiver circuit, interface or interface circuit may be used for signal transmission or transfer.
  • the communication processing apparatus 1200 may include a circuit, and the circuit may implement the function of sending or receiving or communicating in the foregoing method embodiments.
  • the communication processing device 1200 may include one or more memories 1202, on which instructions 1204 may be stored, and the instructions may be executed on the processor, so that the communication processing device 1200 executes the above method embodiments. described method.
  • data may also be stored in the memory.
  • instructions and/or data may also be stored in the processor.
  • the processor and memory can be set separately or integrated together.
  • the communication processing apparatus 1200 may further include a transceiver 1205 and/or an antenna 1206 .
  • the processor 1201 may be called a processing unit, and controls the communication processing apparatus 1200 .
  • the transceiver 1205 may be called a transceiver unit, a transceiver, a transceiver circuit, a transceiver device, or a transceiver module, etc., and is used to implement a transceiver function.
  • the communication processing device 1200 in this embodiment of the application can be used to execute the descriptions in Figure 2A, Figure 2B, Figure 3, Figure 5A, Figure 5B, Figure 8, Figure 9, Figure 10 and Figure 11 in the embodiment of this application 2A, 2B, 3, 5A, 5B, 8, 9, 10 and 11 corresponding to the method embodiments corresponding to various implementation methods and methods A method of combining the implementation methods with each other.
  • the processors and transceivers described in this application can be implemented in integrated circuits (integrated circuits, ICs), analog ICs, radio frequency integrated circuits (RFICs), mixed-signal ICs, application specific integrated circuits (ASICs), printed circuit boards ( printed circuit board, PCB), electronic equipment, etc.
  • the processor and transceiver can also be fabricated using various IC process technologies such as complementary metal oxide semiconductor (CMOS), nMetal-oxide-semiconductor (NMOS), P-type Metal oxide semiconductor (positive channel metal oxide semiconductor, PMOS), bipolar junction transistor (bipolar junction transistor, BJT), bipolar CMOS (BiCMOS), silicon germanium (SiGe), gallium arsenide (GaAs), etc.
  • CMOS complementary metal oxide semiconductor
  • NMOS nMetal-oxide-semiconductor
  • PMOS bipolar junction transistor
  • BJT bipolar CMOS
  • SiGe silicon germanium
  • GaAs gallium ars
  • the communication processing device described in the above embodiments may be a network device or a terminal device, but the scope of the communication processing device described in this application is not limited thereto, and the structure of the communication processing device may not be limited by FIG. 12 .
  • the communications processing means may be a stand-alone device or may be part of a larger device.
  • a communication processing device may be:
  • a set of one or more ICs may also include a storage unit for storing data and/or instructions;
  • ASIC such as modem (MSM)
  • Modules that can be embedded in other devices; for example, the BBU in the base station, or the AAU and BBU in the base station;
  • the embodiment of the present application further provides a communication processing apparatus, where the communication processing apparatus may be a terminal device, and the terminal device may be configured to execute the communication processing method shown in the foregoing method embodiments.
  • the communication processing apparatus may be a terminal device
  • the terminal device may be configured to execute the communication processing method shown in the foregoing method embodiments.
  • a possible structural diagram of a terminal device is provided below.
  • FIG. 13 is a schematic structural diagram of a terminal device provided by the present application.
  • a terminal device 1300 includes a processor, a memory, a control circuit, an antenna, and an input and output device.
  • the processor is mainly used to process communication protocols and communication data, control the entire terminal, execute software programs, and process data of the software programs.
  • Memory is primarily used to store software programs and data.
  • the radio frequency circuit is mainly used for the conversion of the baseband signal and the radio frequency signal and the processing of the radio frequency signal.
  • Antennas are mainly used to send and receive radio frequency signals in the form of electromagnetic waves.
  • Input and output devices, such as touch screens, display screens, and keyboards, are mainly used to receive data input by users and output data to users.
  • the processor can read the software program in the storage unit, analyze and execute the instructions of the software program, and process the data of the software program.
  • the processor performs baseband processing on the data to be sent, and then outputs the baseband signal to the radio frequency circuit.
  • the radio frequency circuit processes the baseband signal to obtain a radio frequency signal and sends the radio frequency signal through the antenna in the form of electromagnetic waves. .
  • the radio frequency circuit receives the radio frequency signal through the antenna, the radio frequency signal is further converted into a baseband signal, and the baseband signal is output to the processor, and the processor converts the baseband signal into data and processes the data deal with.
  • FIG. 13 For ease of illustration, only one memory and processor are shown in FIG. 13 . In an actual terminal device, there may be multiple processors and memories.
  • a storage may also be called a storage medium or a storage device, etc., which is not limited in this embodiment of the present application.
  • the processor may include a baseband processor and a central processing unit, the baseband processor is mainly used to process communication protocols and communication data, and the central processor is mainly used to control the entire terminal device, execute A software program that processes data for a software program.
  • the processor in FIG. 13 integrates the functions of the baseband processor and the central processing unit.
  • the baseband processor and the central processing unit can also be independent processors, interconnected through technologies such as a bus.
  • a terminal device may include multiple baseband processors to adapt to different network standards, a terminal device may include multiple central processors to enhance its processing capability, and various components of a terminal device may be connected through various buses.
  • the baseband processor may also be expressed as a baseband processing circuit or a baseband processing chip.
  • the central processing unit may also be expressed as a central processing circuit or a central processing chip.
  • the function of processing the communication protocol and communication data can be built in the processor, or can be stored in the storage unit in the form of a software program, and the processor executes the software program to realize the baseband processing function.
  • a terminal device 1300 includes a transceiver unit 1311 and a processing unit 1312 .
  • the transceiver unit may also be referred to as a transceiver, a transceiver, a transceiver device, and the like.
  • the device in the transceiver unit 1311 for realizing the receiving function can be regarded as a receiving unit
  • the device in the transceiver unit 1311 for realizing the sending function can be regarded as a sending unit
  • the transceiver unit 1311 includes a receiving unit and a sending unit.
  • the receiving unit may also be called a receiver, receiver, receiving circuit, etc.
  • the sending unit may be called a transmitter, transmitter, or transmitting circuit, etc.
  • the above-mentioned receiving unit and sending unit may be one integrated unit, or may be multiple independent units.
  • the above-mentioned receiving unit and sending unit may be located in one geographic location, or may be dispersed in multiple geographic locations.
  • FIG. 14 is another schematic structural diagram of a communication processing device provided by an embodiment of the present application.
  • the communication processing apparatus 1400 may be a terminal device, or a component of the terminal device (for example, an integrated circuit, a chip, etc.).
  • the communication processing apparatus 1400 may be a network device, or a component of the network device (for example, an integrated circuit, a chip, etc.).
  • the communication processing device 1400 may also be other communication modules, which are used to implement the methods in the method embodiments of the present application.
  • the communication processing apparatus 1400 may include: a processing module 1402 (or referred to as a processing unit).
  • a transceiver module 1401 or called a transceiver unit
  • a storage module 1403 or called a storage unit
  • one or more modules in Figure 14 may be implemented by one or more processors, or by one or more processors and memory; or by one or more processors and a transceiver; or by one or more processors, memories, and a transceiver, which is not limited in this embodiment of the present application.
  • the processor, memory, and transceiver can be set independently or integrated.
  • the communication processing device 1400 has the function of realizing the terminal described in the embodiment of the present application.
  • the communication processing device 1400 includes a terminal device that executes the modules or units or means corresponding to the steps involved in the terminal device described in the embodiment of the present application.
  • Functions or units or means (means) may be implemented by software, or by hardware, or by executing corresponding software by hardware, or by a combination of software and hardware.
  • further reference may be made to the corresponding descriptions in the aforementioned corresponding method embodiments.
  • the communication processing apparatus 1400 has the function of realizing the network equipment described in the embodiment of the present application, for example, the communication processing apparatus 1400 includes modules or units or means corresponding to the network equipment performing the steps involved in the network equipment described in the embodiment of the present application ( means), the function or unit or means (means) can be implemented by software, or by hardware, or by executing corresponding software by hardware, or by a combination of software and hardware.
  • the communication processing apparatus 1400 includes modules or units or means corresponding to the network equipment performing the steps involved in the network equipment described in the embodiment of the present application ( means), the function or unit or means (means) can be implemented by software, or by hardware, or by executing corresponding software by hardware, or by a combination of software and hardware.
  • each module in the communication processing device 1400 in this embodiment of the application can be used to execute The method described in FIG. 11 can also be used to implement various implementations corresponding to the method embodiments corresponding to FIGS. 2A, 2B, 3, 5A, 5B, 8, 9, 10 and 11. method and a method of combining various implementation modes.
  • a communication processing apparatus 1400 includes: a processing module 1401 .
  • a processing module 1401 configured to generate at least two first signals according to a first precoding weight, where the first precoding weight is related to first nonlinear interference channel information; the first nonlinear interference channel information is based on the first nonlinear
  • the interference signal is determined; the first nonlinear interference signal is a nonlinear interference signal obtained by exciting the first nonlinear interference source with at least two second signals; at least two first signals are output; the at least two first signals are used for the second 2. Excitation of nonlinear interfering signals.
  • the second nonlinear interference signal is a nonlinear interference signal obtained by exciting a second nonlinear interference source with at least two first signals.
  • a communication processing apparatus 1400 includes: a processing module 1401 and a transceiver module 1402 .
  • a processing module 1401 configured to generate at least two first signals according to a first precoding weight, where the first precoding weight is related to first nonlinear interference channel information; the first nonlinear interference channel information is based on the first nonlinear The interference signal is determined; the first nonlinear interference signal is a nonlinear interference signal obtained by exciting the first nonlinear interference source with at least two second signals;
  • the transceiver module 1402 is configured to output at least two first signals; the at least two first signals are used for excitation of the second nonlinear interference signal.
  • the second nonlinear interference signal is a nonlinear interference signal obtained by exciting a second nonlinear interference source with at least two first signals.
  • the transceiver module 1402 is also used for:
  • the processing module 1401 is also used for:
  • the first nonlinear interference source is partially or completely identical to the second nonlinear interference source.
  • the first nonlinear interference channel information indicates the first covariance matrix
  • the first covariance matrix is the covariance matrix of the channel between the transmitting antenna and the first nonlinear interference source
  • the first covariance matrix is N* An N-dimensional matrix, where N is the number of transmit antennas, and N is an integer greater than or equal to 2
  • the first precoding weight is obtained based on the first covariance matrix.
  • the first nonlinear interference channel information indicates the first interference space, and the first interference space is the channel space between the transmitting antenna and the first nonlinear interference source; the first precoding weight is obtained based on the first interference space of.
  • the first nonlinear interference channel indicates the first interference channel, and the first interference channel is a channel between the transmit antenna and the first nonlinear interference source; the first precoding weight is obtained based on the first interference channel.
  • the transceiver module 1402 is specifically used for:
  • the first condition includes at least one of the following: the number of iterations corresponding to the second nonlinear interference channel information is greater than or equal to the first preset threshold, and the absolute value of the power difference between the first nonlinear interference signal and the second nonlinear interference signal less than or equal to the second preset threshold.
  • processing module 1401 is also used for:
  • At least two third signals are generated according to the second precoding weight, and the second precoding weight is related to the second nonlinear interference channel information;
  • the transceiver module 1402 is also used for:
  • At least two third signals are used for excitation of a third nonlinear interference signal, and the third nonlinear interference signal is a nonlinear interference signal obtained by exciting a third nonlinear interference source with at least two third signals;
  • the processing module 1401 is also used for:
  • the first condition includes at least one of the following: the number of iterations corresponding to the second nonlinear interference channel information is greater than or equal to the first preset threshold, and the absolute value of the power difference between the first nonlinear interference signal and the second nonlinear interference signal less than or equal to the second preset threshold.
  • the first precoding weight is obtained based on the first initial precoding weight and the first interference weight, and the first initial precoding weight and the first interference weight are based on the first nonlinear interference channel information owned.
  • processing module 1401 is also used for:
  • At least two fourth signals are generated according to the third precoding weight, and the third precoding weight is related to the second nonlinear interference channel information;
  • the transceiver module 1402 is also used for:
  • At least two fourth signals are used to excite a fourth nonlinear interference signal, and the fourth nonlinear interference signal is a nonlinear interference signal obtained by exciting a fourth nonlinear interference source with at least two fourth signals;
  • the processing module 1401 is also used for:
  • the first condition includes at least one of the following: the number of iterations corresponding to the second nonlinear interference channel information is greater than or equal to the first preset threshold, and the absolute value of the power difference between the first nonlinear interference signal and the second nonlinear interference signal less than or equal to the second preset threshold.
  • processing module 1401 is also used for:
  • the nonlinear interference channel information of N signal transmission directions is not obtained, at least two fifth signals are generated according to the fourth precoding weight, each signal transmission direction corresponds to a precoding weight, and the four transmission weights are the same as The first nonlinear interference channel information is correlated, and N is the number of transmitting antennas;
  • the transceiver module 1402 is also used for:
  • At least two fifth signals are used to excite a fifth nonlinear interference signal
  • the fifth nonlinear interference signal is a nonlinear interference signal obtained by exciting a fifth nonlinear interference source with at least two fifth signals
  • the processing module 1401 is also used for:
  • the first nonlinear interference channel information indicates the first covariance matrix
  • the first covariance matrix is the covariance matrix of the channel between the transmitting antenna and the first nonlinear interference source
  • the first covariance matrix is N* A matrix of N, where N is the number of transmit antennas, and N is an integer greater than or equal to 2
  • the first initial precoding weight is obtained based on the first covariance matrix.
  • the first nonlinear interference channel information indicates the first interference space, and the first interference space is the interference space of the channel between the transmitting antenna and the first nonlinear interference source; the first initial precoding weight is based on the first Obtained by interference space.
  • the first nonlinear interference channel information indicates the first interference channel, and the first interference channel is a channel between the transmitting antenna and the first nonlinear interference source; the first initial precoding weight is obtained based on the first interference channel of.
  • the first initial precoding weight is obtained based on the first nonlinear interference signal.
  • the second nonlinear interference channel information indicates at least one of the following:
  • the second covariance matrix is a covariance matrix between the transmitting antenna and the channel of the second nonlinear interference source;
  • the third covariance matrix is the covariance matrix between the second nonlinear interference source and the channel of the receiving antenna;
  • the second interference space is the channel space between the transmitting antenna and the second nonlinear interference source
  • the third interference space is the channel space between the second nonlinear interference source and the receiving antenna
  • the second interference channel is a channel from the transmitting antenna to the second nonlinear interference source;
  • the third interference channel is a channel from the second nonlinear interference source to the receiving antenna.
  • processing module 1401 is also used for:
  • the processor in the embodiment of the present application may be an integrated circuit chip having a signal processing capability.
  • each step of the above-mentioned method embodiments may be completed by an integrated logic circuit of hardware in a processor or instructions in the form of software.
  • the above-mentioned processor can be a general-purpose processor, a digital signal processor (digital signal processor, DSP), an application specific integrated circuit (application specific integrated circuit, ASIC), a field programmable gate array (field programmable gate array, FPGA) or other possible Program logic devices, discrete gate or transistor logic devices, discrete hardware components.
  • a processing unit for performing these techniques at a communication device may be implemented in one or more general-purpose processors, DSPs, digital signal processing devices, ASICs, Programmable logic device, FPGA, or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination of the foregoing.
  • the general-purpose processor may be a microprocessor, and optionally, the general-purpose processor may also be any conventional processor, controller, microcontroller or state machine.
  • a processor may also be implemented by a combination of computing devices, such as a digital signal processor and a microprocessor, multiple microprocessors, one or more microprocessors combined with a digital signal processor core, or any other similar configuration to accomplish.
  • the memory in the embodiments of the present application may be a volatile memory or a nonvolatile memory, or may include both volatile and nonvolatile memories.
  • the non-volatile memory can be read-only memory (read-only memory, ROM), programmable read-only memory (programmable ROM, PROM), erasable programmable read-only memory (erasable PROM, EPROM), electrically programmable Erases programmable read-only memory (electrically EPROM, EEPROM) or flash memory.
  • Volatile memory can be random access memory (RAM), which acts as external cache memory.
  • RAM random access memory
  • SRAM static random access memory
  • DRAM dynamic random access memory
  • DRAM synchronous dynamic random access memory
  • SDRAM double data rate synchronous dynamic random access memory
  • ESDRAM enhanced synchronous dynamic random access memory
  • SLDRAM direct memory bus random access memory
  • direct rambus RAM direct rambus RAM
  • the present application also provides a computer-readable medium on which a computer program is stored, and when the computer program is executed by a computer, the functions of any one of the above method embodiments are realized.
  • the present application also provides a computer program product, which implements the functions of any one of the above method embodiments when executed by a computer.
  • all or part of them may be implemented by software, hardware, firmware or any combination thereof.
  • software When implemented using software, it may be implemented in whole or in part in the form of a computer program product.
  • the computer program product includes one or more computer instructions. When the computer instructions are loaded and executed on the computer, the processes or functions according to the embodiments of the present application will be generated in whole or in part.
  • the computer can be a general purpose computer, a special purpose computer, a computer network, or other programmable devices.
  • the computer instructions may be stored in or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from a website, computer, server or data center Transmission to another website site, computer, server or data center by wired (such as coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (such as infrared, wireless, microwave, etc.).
  • the computer-readable storage medium may be any available medium that can be accessed by a computer, or a data storage device such as a server or a data center integrated with one or more available media.
  • the available medium may be a magnetic medium (for example, a floppy disk, a hard disk, a magnetic tape), an optical medium (for example, a high-density digital video disc (digital video disc, DVD)), or a semiconductor medium (for example, a solid state disk (solid state disk, SSD)) etc.
  • a magnetic medium for example, a floppy disk, a hard disk, a magnetic tape
  • an optical medium for example, a high-density digital video disc (digital video disc, DVD)
  • a semiconductor medium for example, a solid state disk (solid state disk, SSD)
  • references to "an embodiment” throughout the specification mean that a particular feature, structure, or characteristic related to the embodiment is included in at least one embodiment of the present application.
  • the various embodiments throughout the specification are not necessarily referring to the same embodiment.
  • the particular features, structures or characteristics may be combined in any suitable manner in one or more embodiments.
  • the size of the sequence numbers of the above-mentioned processes does not mean the order of execution, and the execution order of each process should be determined by its functions and internal logic, and should not be used in the embodiments of the present application.
  • the implementation process constitutes any limitation.
  • system and “network” are often used herein interchangeably.
  • the term "at least one of” or “at least one of” means all or any combination of the listed items, for example, "at least one of A, B and C", It can mean: A alone exists, B exists alone, C exists alone, A and B exist at the same time, B and C exist at the same time, and A, B and C exist at the same time, where A can be singular or plural, and B can be Singular or plural, C can be singular or plural.
  • B corresponding to A means that B is associated with A, and B can be determined according to A.
  • determining B according to A does not mean determining B only according to A, and B may also be determined according to A and/or other information.
  • the term "and/or” in this article is just an association relationship describing associated objects, which means that there can be three relationships, for example, A and/or B can mean: A exists alone, A and B exist simultaneously, and there exists alone The three cases of B, where A can be singular or plural, and B can be singular or plural.
  • the character "/" generally indicates that the contextual objects are an "or" relationship.
  • the systems, devices and methods described in this application can also be implemented in other ways.
  • the device embodiments described above are only illustrative.
  • the division of the units is only a logical function division. In actual implementation, there may be other division methods.
  • multiple units or components can be combined or May be integrated into another system, or some features may be ignored, or not implemented.
  • the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection of devices or units may be in electrical, mechanical or other forms.
  • the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.
  • each functional unit in each embodiment of the present application may be integrated into one processing unit, each unit may exist separately physically, or two or more units may be integrated into one unit.
  • the functions described above are realized in the form of software function units and sold or used as independent products, they can be stored in a computer-readable storage medium.
  • the technical solution of the present application is essentially or the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including Several instructions are used to make a computer device (which may be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the methods described in the various embodiments of the present application.
  • the aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (read-only memory, ROM), random access memory (random access memory, RAM), magnetic disk or optical disc and other media that can store program codes. .

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Abstract

本申请实施例公开了一种通信处理方法和装置,用于避免通信设备扫描波束所带来的时间耗费和能耗开销,节省通信设备的能耗开销。本申请实施例方法包括:根据第一预编码权值生成至少两个第一信号,所述第一预编码权值与第一非线性干扰信道信息相关,所述第一非线性干扰信道信息是根据第一非线性干扰信号确定的,所述第一非线性干扰信号是至少两个第二信号激发第一非线性干扰源得到的非线性干扰信号;输出所述至少两个第一信号;所述至少两个第一信号用于第二非线性干扰信号的激发,所述第二非线性干扰信号是所述至少两个第一信号激发第二非线性干扰源得到的非线性干扰信号。

Description

通信处理方法和装置
本申请要求于2021年5月21日提交中国国家知识产权局,申请号为202110560345.2,发明名称为“通信处理方法和装置”的中国专利申请的优先权,其全部内容通过引用结合在本申请中。
技术领域
本申请涉及通信技术领域,尤其涉及一种通信处理方法和装置。
背景技术
非线性干扰源是限制通信系统容量的一个重要因素。例如,典型的非线性干扰有无源互调(passive inter-modulation,PIM)干扰。通信系统中的无源互调是指无源器件工作在多个频率的高功率信号条件下,由于无源器件本身存在非线性而引起的互调效应。无源器件可以包括接头、馈线、天线、滤波器等。无源互调会产生新频率的无源互调信号。当该无源互调信号落在周围设备的接收天线的接收频率范围内时,那么该无源互调信号会对通信系统带来干扰。因此,如何获取非线性干扰源的信息是当前亟待解决的问题。
可以采用以下方案来获取非线性干扰源的信道信息。基站在预设下行波束集合的每个下行波束上发送至少两个下行信号。该至少两个下行信号经过非线性干扰源产生非线性干扰信号。基站接收该非线性干扰信号,并选择功率最大的非线性干扰信号对应的下行波束。然后,基站根据该下行波束估计非线性干扰源信道信息。
由此可知,上述技术方案中,基站需要设计数量巨大的精细化下行波束集合。基站需要扫描波束来确定下行波束集合。导致基站扫描波束所需耗费的时间较多,以及扫描波束带来的能耗开销较大。
发明内容
本申请实施例提供了一种通信处理方法和装置,用于避免通信设备扫描波束所带来的时间耗费和能耗开销,节省通信设备的能耗开销。
本申请实施例第一方面提供一种通信处理方法,该方法可以由通信设备执行,例如,通信设备可以为网络设备或终端设备;或者,该方法可以由通信设备的部件执行,例如,处理器、芯片、或芯片系统。或者,该方法由能够实现全部或部分通信设备功能的逻辑模块或软件实现。方法包括:
根据第一预编码权值生成至少两个第一信号,第一预编码权值与第一非线性干扰信道信息相关;第一非线性干扰信道信息是根据第一非线性干扰信号确定的;第一非线性干扰信号是至少两个第二信号激发第一非线性干扰源得到的非线性干扰信号;输出至少两个第一信号;该至少两个第一信号用于第二非线性干扰信号的激发。第二非线性干扰信号是至少两个第一信号激发第二非线性干扰源得到的非线性干扰信号。
上述技术方案中,根据第一预编码权值生成至少两个第一信号,并输出至少两个第一信号。而第一预编码权值与第一非线性干扰信道信息相关。也就是第一预编码权值是基于 第一非线性干扰信道信息得到的。通信设备无需通过扫描波束的方式确定下行发送波束。从而避免扫描波束所带来的时间耗费,以及避免扫描波束所带来的能耗开销。节省通信设备的能耗开销。
一种可能的实现方式中,方法还包括:接收第二非线性干扰信号;根据第二非线性干扰信号确定第二非线性干扰信道信息。
上述实现方式通过接收第二非线性干扰信号获取第二非线性干扰信道信息。从而实现对非线性干扰信道信息的获取。第一预编码权值与第一非线性干扰信道信息相关。这样可以提高第二非线性干扰信道信息的准确性。
另一种可能的实现方式中,第一非线性干扰源与第二非线性干扰源部分或全部相同。
在该可能的实现方式中,第一非线性干扰信道信息是根据第一非线性干扰信号确定的;第一非线性干扰信号是至少两个第二信号激发第一非线性干扰源得到的非线性干扰信号。第二非线性干扰信道信息是根据第二非线性干扰信号确定的;第二非线性干扰信号是至少两个第一信号激发第二非线性干扰源得到的非线性干扰信号。第一非线性干扰源与第二非线性干扰源部分或全部相同。第一预编码权值与第一非线性干扰信道信息相关。这样有利用于获取到更准确的非线性干扰信道信息。
另一种可能的实现方式中,第一非线性干扰信道信息指示第一协方差矩阵,第一协方差矩阵是发射天线和第一非线性干扰源之间的信道的协方差矩阵;第一协方差矩阵为N*N维的矩阵,N为发射天线的数量,N为大于或等于2的整数;第一预编码权值是基于第一协方差矩阵得到的。
在该可能的实现方式中,第一协方差矩阵包括多个信号发射方向的非线性干扰信道信息。第一预编码权值是基于第一协方差矩阵确定的,这样有利于通信设备获取更为准确的非线性干扰信道信息。并且,通信设备无需进行波束扫描,节省波束扫描带来的能耗开销。
另一种可能的实现方式中,第一非线性干扰信道信息指示第一干扰空间,第一干扰空间是发射天线到第一非线性干扰源之间的信道空间;第一预编码权值是基于第一干扰空间得到的。
在该可能的实现方式中,第一干扰空间中每个列向量包括对应信号发射方向的非线性干扰信道信息。第一预编码权值是基于第一干扰空间确定的,这样有利于通信设备获取更为准确的非线性干扰信道信息。信设备无需进行波束扫描,节省波束扫描带来的能耗开销。
另一种可能的实现方式中,第一非线性干扰信道指示第一干扰信道,第一干扰信道是发射天线到第一非线性干扰源之间的信道;第一预编码权值是基于第一干扰信道得到的。
在该可能的实现方式中,第一干扰信道中每个列向量包括对应信号发射方向的非线性干扰信道信息。第一预编码权值是基于第一干扰信道得到的。这样有利于通信设备获取更为准确的非线性干扰信道信息。通信设备无需进行波束扫描,节省波束扫描带来的能耗开销。
另一种可能的实现方式中,方法还包括:
当满足第一条件时,输出第二非线性干扰信道信息;
第一条件包括以下至少一项:第二非线性干扰信道信息对应的迭代次数大于或等于第 一预设阈值、第一非线性干扰信号与第二非线性干扰信号之间的功率差的绝对值小于或等于第二预设阈值。
在该可能的实现方式中,在满足第一条件的情况下,输出第二非线性干扰信道信息。通信设备通过迭代过程获取非线性干扰信道信息。在迭代过程收敛的情况下,输出第二非线性干扰信道信息。有利于提高通信设备获取的第二非线性干扰信道信息的准确性。
另一种可能的实现方式中,方法还包括:
当不满足第一条件时,根据第二预编码权值生成至少两个第三信号,第二预编码权值与第二非线性干扰信道信息相关;
输出至少两个第三信号;
至少两个第三信号用于第三非线性干扰信号的激发,第三非线性干扰信号是至少两个第三信号激发第三非线性干扰源得到的非线性干扰信号;
接收第三非线性干扰信号;
根据第三非线性干扰信号确定第三非线性干扰信道信息;
第一条件包括以下至少一项:第二非线性干扰信道信息对应的迭代次数大于或等于第一预设阈值、第一非线性干扰信号与第二非线性干扰信号之间的功率差的绝对值小于或等于第二预设阈值。
在该可能的实现方式中,在未达到收敛的情况下,可以继续执行迭代过程。从而提高通信设备获取的非线性干扰信道信息的准确性。
另一种可能的实现方式中,第一预编码权值是基于第一初始预编码权值和第一干扰权值得到的,第一初始预编码权值和第一干扰权值是基于第一非线性干扰信道信息得到的。
在该可能的实现方式中,在通信设备获取某个信号发射方向的非线性干扰信道信息时,应当考虑该信号发射方向的干扰。因此通信设备可以结合第一初始预编码权值和第一干扰权值确定第一预编码权值。而第一初始预编码权值和第一干扰权值是基于第一非线性干扰信道信息得到的。有利于提高通信设备获取的非线性干扰信道信息的准确性。
另一种可能的实现方式中,方法还包括:
若不满足第一条件,根据第三预编码权值生成至少两个第四信号,第三预编码权值与第二非线性干扰信道信息相关;
输出至少两个第四信号;
至少两个第四信号用于第四非线性干扰信号的激发,第四非线性干扰信号是至少两个第四信号激发第四非线性干扰源得到的非线性干扰信号;
接收第四非线性干扰信号;
根据第四非线性干扰信号获取第四非线性干扰信道信息;
第一条件包括以下至少一项:第二非线性干扰信道信息对应的迭代次数大于或等于第一预设阈值、第一非线性干扰信号与第二非线性干扰信号之间的功率差的绝对值小于或等于第二预设阈值。
在该可能的实现方式中,在某个信号发射方向的迭代未达到收敛的情况下,可以继续执行迭代过程。从而提高通信设备获取的非线性干扰信道信息的准确性。
另一种可能的实现方式中,方法还包括:
当未获取到N个信号发射方向的非线性干扰信道信息时,根据第四预编码权值生成至少两个第五信号,每个信号发射方向对应一个预编码权值,第四预编码权值与第一非线性干扰信道信息相关,N为发射天线的数量;
输出至少两个第五信号;
至少两个第五信号用于第五非线性干扰信号的激发,第五非线性干扰信号是至少两个第五信号激发第五非线性干扰源的得到的非线性干扰信号;
接收第五非线性干扰信号;
根据第五非线性干扰信号确定第五非线性干扰信道信息。
在该可能的实现方式中,若通信设备未获取到N个信号发射方向的非线性干扰信道信息,通信设备可以继续执行本申请的通信处理,以获取到N个信号发射方向的非线性干扰信道信息。
另一种可能的实现方式中,第一非线性干扰信道信息指示第一协方差矩阵,第一协方差矩阵为发射天线到第一非线性干扰源之间的信道的协方差矩阵;第一协方差矩阵为N*N的矩阵,N为发射天线的数量,N为大于或等于2的整数;第一初始预编码权值是基于第一协方差矩阵得到的。
在该可能的实现方式中,第一协方差矩阵包括多个信号发射方向的非线性干扰信道信息。第一初始预编码权值是基于第一协方差矩阵得到的。这样有利于通信设备获取更为准确的非线性干扰信道信息。并且,通信设备无需进行波束扫描,节省波束扫描带来的能耗开销。
另一种可能的实现方式中,第一非线性干扰信道信息指示第一干扰空间,第一干扰空间是发射天线到第一非线性干扰源之间的信道的干扰空间;第一初始预编码权值是基于第一干扰空间得到的。
在该可能的实现方式中,第一干扰空间中每个列向量对应一个信号发射方向。第一干扰空间中每个列向量包括对应信号发射方向的非线性干扰信道信息。第一初始预编码权值是基于第一干扰空间得到的。这样有利于通信设备获取更为准确的非线性干扰信道信息。并且,通信设备无需进行波束扫描,节省波束扫描带来的能耗开销。
另一种可能的实现方式中,第一非线性干扰信道信息指示第一干扰信道,第一干扰信道是发射天线到第一非线性干扰源之间的信道;第一初始预编码权值是基于第一干扰信道得到的。
在该可能的实现方式中,第一干扰信道中每个列向量对应一个信号发射方向。第一干扰信道中每个列向量包括对应信号发射方向的非线性干扰信道信息。第一初始预编码权值是基于第一干扰信道得到的。这样有利于通信设备获取到更为准确的非线性干扰信道信息。并且,通信设备无需进行波束扫描,节省波束扫描带来的能耗开销。
另一种可能的实现方式中,第一初始预编码权值是基于第一非线性干扰信号得到的。
在该可能的实现方式中,基于第一非线性干扰信号得到第一初始预编码权值,这样有利于获取更为准确的非线性干扰信道信息。并且,通信设备无需进行波束扫描,节省波束 扫描带来的能耗开销。
另一种可能的实现方式中,第二非线性干扰信道信息指示以下至少一项:
第二协方差矩阵、第三协方差矩阵、第二干扰空间、第三干扰空间、第二干扰信道、第三干扰信道;
第二协方差矩阵为发射天线到第二非线性干扰源的信道之间的协方差矩阵;第三协方差矩阵为第二非线性干扰源到接收天线的信道之间的协方差矩阵;
第二干扰空间为发射天线到第二非线性干扰源之间的信道空间;第三干扰空间为第二非线性干扰源到所述接收天线之间的信道空间;
第二干扰信道为发射天线到第二非线性干扰源的信道;第三干扰信道为第二非线性干扰源到接收天线的信道。
在该可能的实现方式中,提供了第二非线性干扰信道信息指示的内容,通过上述第二非线性干扰信道信息指示的内容可以确定非线性干扰源的信道信息。例如,非线性干扰源的空间方向等。
另一种可能的实现方式中,方法还包括:根据第二非线性干扰信道信息在发射信号时规避第二非线性干扰源;或者,不在第二非线性干扰信号所在的频率上接收信号;或者,根据第二非线性干扰信道信息确定不同用户所属的频带,并通过频带调度对应的用户。
在该可能的实现方式中,通信设备通过上述通信处理方法获取到第二非线性干扰信道信息,那么通信设备可以结合第二非线性干扰信道信息实现对第二非线性干扰信号的有效抑制或规避,从而提高通信性能。
本申请实施例第二方面提供一种通信处理装置,通信处理装置具有执行上述第一方面所示的通信处理方法的功能;该功能可以通过硬件实现,也可以通过硬件执行相应的软件实现;该硬件或软件包括一个或多个与上述功能相对应的模块。
本申请实施例第三方面提供一种通信处理装置,通信处理装置包括处理器,处理器与存储器耦合,存储器用于存储程序或指令,当程序或指令被处理器执行时,使得通信处理装置执行如上述第一方面中任一项所述的方法。
本申请实施例第四方面提供了一种计算机可读介质,用于储存计算机程序或指令,计算机程序或指令被执行时使得计算机执行如上述第一方面中任一项所述的方法。
本申请实施例第五方面提供一种芯片系统,该芯片系统包括处理器,用于支持网络设备实现上述第一方面中所涉及的功能,例如,例如发送或处理上述方法中所涉及的信号和/或信息。在一种可能的设计中,芯片系统还包括存储器,存储器,用于保存网络设备必要的程序指令和数据。该芯片系统,可以由芯片构成,也可以包括芯片和其他分立器件。
本申请实施例第六方面提供一种包括计算机指令的计算机程序产品,当计算机程序产品在计算机上运行时,使得该计算机执行如上述第一方面任一种的实现方式。
从以上技术方案可以看出,本申请实施例具有以下优点:
经由上述技术方案可知,根据第一预编码权值生成至少两个第一信号,第一预编码权值与第一非线性干扰信道信息相关;第一非线性干扰信道信息是根据第一非线性干扰信号确定的,第一非线性干扰信号是至少两个第一信号激发第一非线性干扰源得到的非线性干 扰信号。然后,输出该至少两个第一信号。所述至少两个第一信号用于第二非线性干扰信号的激发。第二非线性干扰信号是至少两个第一信号激发第二非线性干扰源得到的非线性干扰信号。由此可知,通过上述技术方案,根据第一预编码权值生成至少两个第一信号,并输出至少两个第一信号。而第一预编码权值与第一非线性干扰信道信息相关。也就是第一预编码权值是基于第一非线性干扰信道信息得到的。通信设备无需通过扫描波束的方式确定下行发送波束。从而避免扫描波束所带来的时间耗费,以及避免扫描波束所带来的能耗开销。节省通信设备的能耗开销。
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图14为本申请实施例通信处理装置的另一个结构示意图。
具体实施方式
本申请实施例提供了一种通信处理方法和装置,用于避免通信设备扫描波束所带来的时间耗费和能耗开销,节省通信设备的能耗开销。
下面将结合本申请实施例中的附图,对本申请实施例中的技术方案进行清楚、完整地描述。显然,所描述的实施例仅仅是本申请一部分实施例,而不是全部的实施例。基于本申请中的实施例,本领域技术人员在没有作出创造性劳动前提下所获得的所有其他实施例,都属于本申请保护的范围。
下面对本申请涉及的数学符号进行介绍。
1、E H为E的共轭转置。
2、|J|为J的取模。
3、Q T为Q的转置。
4、[I] +代表对矩阵[I]的伪逆操作。
5、p *表示对p取共轭。
本申请实施例提供了一种通信处理方法,该方法可以应用于通信系统。通信系统包括但不限定于第四代(4th generation,4G)通信系统,4.5G通信系统,5G通信系统,5.5G通信系统,6G通信系统,设备到设备(device to device,D2D)通信系统,车联网(vehicle to everything,V2X)通信系统,多种通信系统融合的系统,或者未来演进的通信系统。例如长期演进(long term evolution,LTE)系统,新空口(new radio,NR)系统,无线保真(wireless-fidelity,WiFi)系统,以及第三代合作伙伴计划(3rd generation partnership project,3GPP)相关的通信系统等,以及其他此类通信系统。
一种可能的实现方式中,通信系统包括终端设备。可选的,该通信系统还包括网络设备。
本申请中,终端设备是一种具有无线收发功能的设备,可以部署在陆地上,包括室内或室外、手持、穿戴或车载;也可以部署在水面上(如轮船等);还可以部署在空中(例如飞机、气球和卫星上等)。所述终端设备可以是手机(mobile phone)、平板电脑(Pad)、带无线收发功能的电脑、虚拟现实(virtual reality,VR)终端设备、增强现实(augmented reality,AR)终端设备、工业控制(industrial control)中的终端设备、车载终端设备、无人驾驶(self driving)中的终端设备、辅助驾驶中的终端设备、远程医疗(remote medical)中的终端设备、智能电网(smart grid)中的终端设备、运输安全(transportation safety)中的终端设备、智慧城市(smart city)中的终端设备、智慧家庭(smart home)中的终端设备等等。本申请的实施例对应用场景不做限定。终端设备有时也可以称为终端设备、用户设备(user equipment,UE)、接入终端设备、车载终端、工业控制终端、UE单元、UE站、移动站、移动台、远方站、远程终端设备、移动设备、无线通信设备、机器终端、UE代理或UE装置等。终端设备可以是固定的,也可以是移动的。
作为示例而非限定,在本申请中,终端设备可以是可穿戴设备。可穿戴设备也可以称为穿戴式智能设备,是应用穿戴式技术对日常穿戴进行智能化设计、开发出可以穿戴的设备的总称,如眼镜、手套、手表、服饰及鞋等。可穿戴设备即直接穿在身上,或是整合到用户的衣服或配件的一种便携式设备。可穿戴设备不仅仅是一种硬件设备,更是通过软件支持以及数据交互、云端交互来实现强大的功能。广义穿戴式智能设备包括功能全、尺寸大、可不依赖智能手机实现完整或者部分的功能,例如:智能手表或智能眼镜等,以及只专注于某一类应用功能,需要和其它设备如智能手机配合使用,如各类进行体征监测的智能手环、智能首饰等。
在本申请中,终端设备可以是物联网(internet of things,IoT)系统中的终端设备,IoT是未来信息技术发展的重要组成部分,其主要技术特点是将物品通过通信技术与网络连接,从而实现人机互连,物物互连的智能化网络。本申请中的终端设备可以是机器类型通信(machine type communication,MTC)中的终端设备。本申请的终端设备可以是作为一个或多个部件或者单元而内置于车辆的车载模块、车载模组、车载部件、车载芯片或者车 载单元,车辆通过内置的所述车载模块、车载模组、车载部件、车载芯片或者车载单元可以实施本申请的方法。因此,本申请实施例可以应用于车联网,例如车辆外联(vehicle to everything,V2X)、车间通信长期演进技术(long term evolution vehicle,LTE-V)、车到车(vehicle to vehicle,V2V)等。
本申请中,网络设备可以是任意一种具有无线收发功能的设备。包括但不限于:LTE中的演进型基站(NodeB或eNB或e-NodeB,evolutional Node B),NR中的基站(gNodeB或gNB)或收发点(transmission receiving point/transmission reception point,TRP),3GPP后续演进的基站,WiFi系统中的接入节点,无线中继节点,无线回传节点等。基站可以是:宏基站,微基站,微微基站,小站,中继站,或,气球站等。多个基站可以支持上述提及的同一种技术的网络,也可以支持上述提及的不同技术的网络。基站可以包含一个或多个共站或非共站的TRP。
网络设备还可以是云无线接入网络(cloud radio access network,CRAN)场景下的无线控制器、集中单元(centralized unit,CU),和/或,分布单元(distributed unit,DU)。网络设备还可以是服务器,可穿戴设备,机器通信设备、或车载设备等。以下以网络设备为基站为例进行说明。所述多个网络设备可以为同一类型的基站,也可以为不同类型的基站。基站可以与终端设备进行通信,也可以通过中继站与终端设备进行通信。终端设备可以与不同技术的多个基站进行通信,例如,终端设备可以与支持LTE网络的基站通信,也可以与支持5G网络的基站通信,还可以支持与LTE网络的基站以及5G网络的基站的双连接。可以理解,本申请中的网络设备的全部或部分功能也可以通过在硬件上运行的软件功能来实现,或者通过平台(例如云平台)上实例化的虚拟化功能来实现。
下面介绍本申请实施例通信处理方法的两种可能的应用场景。对于其他应用场景本申请仍适用,具体本申请不做限定。
请参阅图1A,图1A为本申请实施例通信处理方法的一个应用场景示意图。在图1A中,通信系统包括网络设备和终端设备。网络设备1分别与终端设备1和终端设备2进行通信传输。网络设备1发送下行信号。下行信号激发非线性干扰源得到非线性干扰信号。网络设备1接收非线性干扰信号,并根据非线性干扰信号确定非线性干扰信道信息。
图1A所示的应用场景中,非线性干扰源与网络设备1是独立分开的。实际应用中,非线性干扰源也可以是网络设备1上的非线性干扰源,具体本申请不做限定。例如,网络设备1的天线上的接头、馈线等。
请参阅图1B,图1B为本申请实施例通信处理方法的另一个应用场景示意图。在图1B中,通信系统包括网络设备和终端设备。网络设备2分别与终端设备1和终端设备2进行通信传输。网络设备1发送下行信号。下行信号激发非线性干扰源得到非线性干扰信号。网络设备2接收非线性干扰信号,并根据非线性干扰信号确定非线性干扰信道信息。
本申请实施例中的通信处理方法的执行主体可以是通信设备。通信设备可以为网络设备(如基站)或终端(如用户设备(user equipment,UE))。或者,通信处理方法的执行主体可以是网络设备中的模块、处理器、芯片、或芯片系统。例如,网络设备为基站,基站包括多个模块,分别为天线、基带单元(baseband unit,BBU)和有源无线处理单元 (active antenna unit,AAU)。而通信设备可以为BBU,或者,通信设备可以包括BBU和AAU。或者,通信处理方法的执行主体可以为终端设备中的处理器、芯片、或芯片系统。或者,本申请实施例中通信处理方法的执行主体可以是实现全部或部分通信设备功能的逻辑模块或软件。下面以执行主体为通信设备为例进行描述。
下面结合具体实施例介绍本申请的技术方案。
请参阅图2A,图2A为本申请实施例通信处理方法的一个实施例示意图。在图2A中,通信处理方法包括:
201、根据第一预编码权值生成至少两个第一信号。
其中,第一预编码权值与第一非线性干扰信道信息相关。第一非线性干扰信道信息是根据第一非线性干扰信号确定的。第一非线性干扰信号是至少两个第二信号激发第一非线性干扰源得到的非线性干扰信号。
在一些实施方式中,第一非线性干扰源包括有源器件和无源器件。例如,无源器件可以为接头、馈线、天线、滤波器等。有源器件可以为功率放大器。
例如,第一非线性干扰信号可以是至少两个第二信号激发功率放大器得到的非线性干扰信号。
例如,第一非线性干扰信号可以是至少两个第二信号激发无源器件得到的非线性干扰信号。无源器件激发产生的非线性干扰信号可以包括无源互调(passive inter-modulation,PIM)干扰信号。无源互调是指无源器件工作在多个频率信号条件下,由于无源器件本身存在非线性而引起的互调效应。
第一预编码权值可以是通信设备确定的,或者是从其他通信设备获取的,具体本申请不做限定。例如,通信设备获取第一非线性干扰信道信息。通信设备根据第一非线性干扰信道信息确定第一预编码权值。
需要说明的是,通信设备获取第一非线性干扰信道信息的方式有多种,具体本申请不做限定。
例如,通信设备从其他通信设备获取第一非线性干扰信道信息。
例如,通信设备接收第一非线性干扰信号。通信设备根据第一非线性干扰信号确定第一非线性干扰信道信息。
在一些实施方式中,第一非线性干扰信道信息可以包括多个信号发射方向的非线性干扰信道信息。该多个信号发射方向包括通信设备的发射天线所覆盖的部分或全部信号发射空间内非线性干扰源所在的空间方向。
例如,通信设备在通信设备的发射天线所覆盖的全部发射空间内发射至少两个第二信号。通信设备接收到六个信号发射方向上的非线性干扰源的非线性干扰信号。通信设备根据非线性干扰信号得到六个信号发射方向的非线性干扰信道信息。即第一非线性干扰信道信息包括六个信号发射方向的非线性干扰信道信息。
例如,通信设备在通信设备的发射天线覆盖的三个信号发射方向上发射至少两个第二信号。通信设备接收该三个信号发射方向上的非线性干扰源的非线性干扰信号,并根据非线性干扰信号得到该三个信号发射方向的非线性干扰信道信息。即第一非线性干扰信道信 息包括三个信号发射方向的非线性干扰信道信息。
上述步骤201中,第一预编码权值包括通信设备的发射天线覆盖的多个信号发射方向对应的预编码权值;或者,第一预编码权值包括通信设备的发射天线覆盖的一个信号发射方向对应的预编码权值,具体本申请不做限定。
一种可能的实现方式中,通信设备在一次通信处理过程中获取多个信号发射方向的非线性干扰信道信息。具体的实施流程请参阅后文图3所示的实施例中的相关介绍。
另一种可能的实现方式中,通信设备在一次通信处理过程中获取一个信号发射方向的非线性干扰信道信息。具体的实施流程请参阅后文图5A所示的实施例中的相关介绍。
202、输出至少两个第一信号。
其中,至少两个第一信号用于第二非线性干扰信号的激发。第二非线性干扰信号是至少两个第一信号激发第二非线性干扰源得到的非线性干扰信号。
关于第二非线性干扰源的相关介绍可以参阅前述第一非线性干扰源的相关介绍,这里不再赘述。
例如,如图1A所示,网络设备1输出至少两个第一信号。网络设备1对至少两个第一信号进行射频处理,并发送至少两个第一信号。第一预编码权值是网络设备1的发射天线所覆盖的多个信号发射方向对应的预编码权值。那么网络设备1在该多个信号发射方向发射该至少两个第一信号。或者,第一预编码权值是网络设备1的发射天线所覆盖的某个信号发射方向对应的预编码权值。那么网络设备1在该信号发射方向发射该至少两个第一信号。
可选的,第一非线性干扰源与第二非线性干扰源部分或全部相同。
例如,第一非线性干扰信道信息包括:通信设备的发射天线所覆盖的所有信号发射方向的非线性干扰信道信息。第一非线性干扰源包括非线性干扰源1、非线性干扰源2和非线性干扰源3、非线性干扰源4和非线性干扰源5。第一预编码权值是通信设备的发射天线所覆盖的三个信号发射方向对应的预编码权值。这里以第二非线性干扰源包括非线性干扰源3、非线性干扰源4和非线性干扰源5为例进行介绍。
那么可知,第一非线性干扰源和第二非线性干扰源均包括非线性干扰源3、非线性干扰源4和非线性干扰源5。因此,通信设备可以根据第一非线性干扰信道信息确定第一预编码权值。然后,通信设备根据第一预编码权值生成至少两个第一信号。至少两个第一信号用于第二非线性干扰信号的激发。从而便于通信设备根据第二非线性干扰信号准确获取第二非线性干扰源的信道信息。
下面结合非线性干扰源的具体形态进行举例说明。
例如,第一非线性干扰源包括接口1、接口2和接口3。第二非线性干扰源包括接口3、接口4和接口5。那么可知,第一非线性干扰源和第二非线性干扰源均包括接口3。因此,通信设备可以根据第一非线性干扰信道信息确定第一预编码权值。通信设备再根据第一预编码权值生成至少两个第一信号。至少两个第一信号用于第二非线性干扰信号的激发。这样便于通信设备根据第二非线性干扰信号准确获取接口3到通信设备的接收天线之间的信道信息。
可选的,上述图2A所示的实施例还包括步骤203和步骤204。步骤203至步骤204可以在 步骤202之后执行。
203、接收第二非线性干扰信号。
一种可能的实现方式中,通信设备执行上述步骤201至步骤202。进一步的,通信设备作为第二非线性干扰信号的接收端,以执行步骤203至步骤204。
在该实现方式中,第二非线性干扰信号的频率落在通信设备的接收天线的接收频率范围。通信设备接收来自第二非线性干扰源的第二非线性干扰信号。后文以该实现方式为例进行说明。
另一种可能的实现方式中,通信设备执行上述步骤201至步骤202。其他通信设备作为第二非线性干扰信号的接收端,以执行步骤203至步骤204。
在该实现方式中,第二非线性干扰信号的频率落在该其他通信设备的接收天线的接收频率范围。其他通信设备接收来自第二非线性干扰源的第二非线性干扰信号。
204、根据第二非线性干扰信号确定第二非线性干扰信道信息。
其中,第二非线性干扰信道信息指示以下至少一项:第二协方差矩阵R dl2、第三协方差矩阵R ul2、第二干扰空间D dl2、第三干扰空间D ul2、第二干扰信道H dl2、第三干扰信道H ul2
第二协方差矩阵R dl2为发射天线到第二非线性干扰源的信道之间的协方差矩阵。第三协方差矩阵R ul2为第二非线性干扰源到接收天线的信道之间的协方差矩阵。
第二干扰空间D dl2为发射天线到第二非线性干扰源之间的信道空间。第三干扰空间D ul2为第二非线性干扰源到接收天线的信道空间。
第二干扰信道H dl2为发射天线到第二非线性干扰源之间的信道。第三干扰信道H ul2为第二非线性干扰源到接收天线的之间信道。
第二非线性干扰信道信息指示上述至少一项信息的方式有多种,下面示出几种可能的实现方式。对于其他实现方式本申请仍适用,下述示出的方式并不属于对本申请的限定。
方式1:第二非线性干扰信道信息包括上述至少一项信息。
方式2:第二非线性干扰信道信息包括上述至少一项信息的特征参数。
其中,特征参数用于确定上述至少一项信息。
方式3:第二非线性干扰信道信息包括索引,该索引指示上述至少一项信息。
在一些实施方式中,通信设备根据第二非线性干扰信道信息在发射信号时规避第二非线性干扰源。例如,通信设备调整发射的信号的预编码权值,以避免下行信号激发非线性干扰源而产生非线性干扰。
在一些实施方式中,通信设备不在第二非线性干扰信号所在的频率上接收信号。
在一些实施方式中,通信设备根据第二非线性干扰信道信息确定不同用户所属的频带,并通过频带调度对应的用户。从而实现第二非线性干扰信号对用户的干扰影响得到最小化。
例如,通信设备为基站。通信设备将下行用户频带划分为两个子集,分别包括子集1和子集2。子集1中的下行用户频带表示对上行用户频带影响较大的下行频带。子集2中的下行用户频带表示对上行用户频带影响较小的下行频带。基于非线性干扰信道与通信设备到用户的下行信道的相关性,通信设备通过子集2的下行用户频带调度相关性较高的用户,通过子集1的下行用户频带调度相关性较低的用户。从而减轻通信设备发送下行用户信号激发 的非线性干扰信号对上行用户的干扰。
其中,非线性干扰信道是指第二非线性干扰源到通信设备之间的信道。这里通过向量1表示该非线性干扰信道。这里通过向量2表示通信设备到用户之间的的下行信道。向量1和向量2是经过归一化处理的。
非线性干扰信道与通信设备到用户的下行信道的相关性可以通过向量1与向量2的内积表征。向量1与向量2的内积越大,相关性较高。向量1与向量2的内积越小,相关性越低。例如,向量1与向量2的内积大于或等于0.9时,则认为非线性干扰信道与下行信道之间的相关性较高。
本申请实施例中,根据第一预编码权值生成至少两个第一信号,并输出至少两个第一信号。而第一预编码权值与第一非线性干扰信道信息相关。也就是第一预编码权值是基于第一非线性干扰信道信息得到的。通信设备无需通过扫描波束的方式确定下行发送波束。从而避免扫描波束所带来的时间耗费,以及避免扫描波束所带来的能耗开销。节省通信设备的能耗开销。并且,第一预编码权值是基于第一非线性干扰信道信息得到的。这样有利于获取到更准确的非线性干扰信道信息。
下面以第二非线性干扰信道信息包括上述至少一项信息为例进行介绍。可选的,第二非线性干扰信道信息包括:第三协方差矩阵R ul2、第三干扰空间D ul2和第三干扰信道H ul2
在一些实施例方式中,上述图2A所示的实施例中的步骤204具体包括步骤2041和步骤2042。下面结合图2B介绍步骤2041和步骤2042。
步骤2041:根据第二非线性干扰信号Y 2确定第三协方差矩阵;
其中,第三协方差矩阵满足
Figure PCTCN2022091129-appb-000001
R ul2为第三协方差矩阵,Y 2为第二非线性干扰信号,Y 2 H为第二非线性干扰信号的共轭转置。
L为用于通信设备接收第二非线性干扰信号Y 2的频域样点数或时域样点数。L为通信设备的上行带宽对应的频域样点数;或者,L为通信设备的上行带宽对应的时域样点数。
例如,通信设备的上行带宽为5Mb(兆),通信设备所使用的子载波间隔为15KHz(千赫兹)。那么通信设备在频域上占用300个子载波。300个子载波对应300个频域样点,因此,L为300。若通信设备包括10个发射天线,那么第二非线性干扰信号Y 2为10*300维的矩阵。
例如,通信设备的上行带宽为5Mb(兆),通信设备所使用的子载波间隔为15KHz(千赫兹)。通信设备在频域上占用300个子载波。通信设备对承载于300个子载波上的频域信号作傅里叶变换,得到对应的时域信号。时域信号包括512个时域样点。因此,L为512。若通信设备包括10个发射天线,那么第二非线性干扰信号Y 2为10*512维的矩阵。
步骤2042:根据第三协方差矩阵R ul2确定第三干扰空间D ul2和第三干扰信道H ul2
下面结合步骤2042a至步骤2042c介绍步骤2042。
步骤2042a:对第三协方差矩阵R ul2进行奇异值分解,得到第三协方差矩阵R ul2的第二左奇异矩阵U 2
其中,第三协方差矩阵满足R ul2=U 22V 2 H
R ul2为第三协方差矩阵,U 2为M*M维的矩阵,M为接收天线的数量。
2为M*M维的对角矩阵,∑ 2的第r个列向量上对应的主对角线元素为U 2的第r列向量对应的奇异值,r为大于或等于1且小于或等于M的整数。∑ 2的主对角线元素均大于0,∑ 2中除了主对角线元素之外的其他元素均为0。
V 2为第三协方差矩阵R ul2的右奇异矩阵,V 2 H为V 2的转置。
步骤2042b:按照∑ 2中的奇异值大小顺序从大到小从第二左奇异矩阵U 2选择对应的P个列向量,得到第三干扰空间D ul2
其中,P个列向量对应∑ 2中的奇异值分别大于或等于第三预设门限值。P为大于或等于1的整数。
例如,第三干扰空间D ul2=[d 1,d 2,…d P],d b为U 2中的第b个列向量,b为大于或等于1且小于或等于P的整数。
需要说明的是,可选的,第三预设阈值的大小可以基于通信设备的热噪声功率设定。例如,第三预设阈值的取值为通信设备的热噪声的平均功率。
步骤2042c:将P个列向量分别乘以∑ 2中的P个列向量分别对应的奇异值,得到第三干扰信道H ul2
例如,第三干扰信道H ul2=[h ul,1,h ul,2,…h ul,P],h ul,b=U 2中的第b个列向量d b乘以∑ 2的第b行第b列元素。
可选的,第二非线性干扰信道信息还包括第二协方差矩阵R dl2。上述图2B所示的实施例还包括步骤2043。
步骤2043:根据第三协方差矩阵R ul2确定第二协方差矩阵R dl2
下面介绍通信设备根据第三协方差矩阵R ul2确定第二协方差矩阵R dl2的几种可能的实现方式。下述示出的实现方式仅仅是一种示例,并不属于对本申请的限定。对于其他实现方式本申请仍适用。
下面结合步骤2043a介绍实现方式1。
步骤2043a:将第三协方差矩阵R ul2作为第二协方差矩阵R dl2
在一些实施方式中,实现方式1适用于通信设备的发射天线数量与接收天线数量一致,且发射天线位置与接收天线位置一致的场景。
下面结合步骤2043b至步骤2043c介绍实现方式2。
步骤2043b:确定每个发射天线距离最近的接收天线;
步骤2043c:将元素r xy作为第二协方差矩阵R dl2中的元素r ef,得到第二协方差矩阵R dl2
其中,元素r xy为第三协方差矩阵R ul2中通信设备的第x个接收天线接收的信号的与第y个接收天线接收的信号的相关信息。元素r ef为第二协方差矩阵R dl2中通信设备的第e个发射天线与第f个发射天线分别发送的信号的相关信息。
第e个接收天线与第x个发射天线距离最近,第f个接收天线与第y个发射天线距离最近。e和f分别为大于或等于1且小于或等于M的整数,M为接收天线的数量。x和y分别为大于或等于1且小于或等于N的整数,N为发射天线的数量。
在一些实施方式中,实现方式2适用于发射天线的数量与接收天线的数量不相等的场景。或者,实现方式2适用于发射天线位置与接收天线位置不一致的场景。
下面结合步骤2043d至步骤2043f介绍实现方式3。
步骤2043d:对第三协方差矩阵R ul2进行矩阵向量化处理,得到r vec,ul
其中,r vec,ul为M 2*1维的矩阵,M 2为M的平方,M为接收天线的数量。
具体的,通信设备将第三协方差矩阵变换为一个列向量,得到r vec,ul。r vec,ul包括第三协方差矩阵R ul2中的所有元素。第三协方差矩阵R ul2为M*M维的矩阵。
例如,
Figure PCTCN2022091129-appb-000002
通信设备按照R ul2的列向量顺序将R ul2中的元素排列为一个列向量,得到
Figure PCTCN2022091129-appb-000003
步骤2043e:根据第一变换矩阵A和r vec,ul确定r vec,dl
其中,r vec,dl可以理解为是第二协方差矩阵R dl2经过矩阵向量化处理得到的矩阵。r vec,dl=A*r vec,ul
A为第一变换矩阵,第一变换矩阵是根据第一仿真数据确定的r vec,ul与r vec,dl之间的关系。
第一仿真数据包括通过遍历多种非线性干扰场景仿真得到的多组历史第三协方差矩阵R ul2与历史第二协方差矩阵R dl2
可选的,不同非线性干扰场景分别对应的非线性干扰参数不同。例如,非线性干扰参数包括以下至少一项:非线性干扰源的位置、非线性干扰源的数量、非线性干扰源的干扰功率。
例如,遍历多种非线性干扰场景获取第一仿真数据。第一仿真数据包括
Figure PCTCN2022091129-appb-000004
Figure PCTCN2022091129-appb-000005
i的取值为[1,S5]之间的整数,S5为统计样本个数,S5为大于1的整数。那么
Figure PCTCN2022091129-appb-000006
Figure PCTCN2022091129-appb-000007
Figure PCTCN2022091129-appb-000008
经过矩阵向量化处理得到的。
Figure PCTCN2022091129-appb-000009
Figure PCTCN2022091129-appb-000010
经过矩阵向量化处理得到的。那么,
Figure PCTCN2022091129-appb-000011
代表对矩阵
Figure PCTCN2022091129-appb-000012
的伪逆操作。因此,
Figure PCTCN2022091129-appb-000013
步骤2043f:通过r vec,dl确定第二协方差矩阵R dl2
例如,
Figure PCTCN2022091129-appb-000014
那么通信设备可以确定
Figure PCTCN2022091129-appb-000015
在一些实施方式中,上述实现方式3适用的场景并不限定。例如,上述实现方式3适用于发射天线的数量与接收天线的数量相等或不相等的场景。或者,上述实现方式3适用于发射天线位置与接收天线位置相同或不相同的场景。
步骤2043与步骤2042之间没有固定的执行顺序,可以先执行步骤2042,再执行步骤2043;或者,先执行步骤2043,再执行步骤2042;或者,依据情况同时执行步骤2042和步骤2043,具体本申请不做限定。
可选的,第二非线性干扰信道信息包括第二干扰空间D dl2。上述图2B所示的实施例还包括步骤2044。
步骤2044:确定第二干扰空间D dl2
具体的,通信设备确定第二干扰空间D dl2的方式有多种。下面介绍两种可能的实现方式。对于其他的实现方式本申请仍适用,具体本申请不做限定。
实现方式1:通信设备根据第二协方差矩阵R dl2确定第二干扰空间D dl2
下面结合步骤2044a至步骤2044b介绍实现方式1。
步骤2044a:对第二协方差矩阵R dl2进行奇异值分解,得到第一协方差矩阵R dl2的第三左奇异矩阵U 3
其中,第二协方差矩阵R dl2满足R dl2=U 3Σ 3V 3 H
U 3为N*N维的矩阵,U 3是第二协方差矩阵R dl2的左奇异矩阵。
Σ 3为N*N维的对角矩阵,Σ 3的第k个列向量上对应的主对角线元素为U 3的第k个列向量对应的奇异值,k为大于或等于1且小于或等于N的整数。Σ 3的主对角线元素均大于0,Σ 3中除了主对角线元素之外的其他元素均为0。
V 2是N*N维的矩阵,V 2是第二协方差矩阵的右奇异矩阵,V 2 H是V 2的共轭转置。
步骤2044b:按照Σ 3中的奇异值大小顺序从大到小从第三左奇异矩阵U 3中选择对应的G个列向量,得到得到第二干扰空间D dl2
其中,G个列向量对应Σ 3中的奇异值分别大于或等于第四预设门限值。
例如,D dl2=[d 1,d 2,...,d G],d q=u q,u q是U 2的第q个列向量,q为大于或等于1且小 于或等于G的整数。G为大于或等于1的整数。
需要说明的是,可选的,第四预设门限值的大小基于热噪声的功率设定。
实现方式2:通信设备根据第三干扰空间D ul2确定第二干扰空间D dl2
具体的,通信设备将第三干扰空间D ul2乘以第二变换矩阵B,得到第二干扰空间D dl2
其中,第二变换矩阵B是根据第二仿真数据确定的第三干扰空间D ul2与第二干扰空间D dl2之间的关系。
第二仿真数据包括通过遍历多种非线性干扰场景仿真得到的多组历史第三干扰空间D ul2与历史第二干扰空间D dl2。关于非线性干扰场景的相关介绍请参阅前述相关介绍,这里不再赘述。
例如,遍历多种非线性干扰场景获取第二仿真数据。第二仿真数据包括
Figure PCTCN2022091129-appb-000016
Figure PCTCN2022091129-appb-000017
i的取值为[1,S5]之间的整数,S5为统计样本个数,S5为大于1的整数。那么
Figure PCTCN2022091129-appb-000018
Figure PCTCN2022091129-appb-000019
经过矩阵向量化处理得到的,
Figure PCTCN2022091129-appb-000020
Figure PCTCN2022091129-appb-000021
经过矩阵向量化处理得到的。那么,
Figure PCTCN2022091129-appb-000022
代表对矩阵
Figure PCTCN2022091129-appb-000023
的伪逆操作。因此,
Figure PCTCN2022091129-appb-000024
可选的,第二非线性干扰信道信息包括第二干扰信道H dl2。上述图2B所示的实施例还包括步骤2045。
步骤2045:确定第二干扰信道H dl2
通信设备确定第二干扰信道H dl2的方式有多种,下面示出几种可能的实现方式。
实现方式1:通信设备根据第二协方差矩阵R dl2确定第二干扰信道H dl2
下面结合步骤2045a至步骤2045c介绍实现方式1。
步骤2045a:对第二协方差矩阵R dl2进行奇异值分解,得到第二协方差矩阵R dl2的第三左奇异矩阵U 3
步骤2045a与上述步骤2044a类似,具体请参阅前述步骤2044a的相关介绍。
步骤2044b:按照Σ 3中的奇异值大小顺序从第三左奇异矩阵U 3中选择对应的S个列向量。
其中,S个列向量对应的Σ 3中的奇异值分别大于或等于第五预设门限值。
需要说明的是,可选的,第五预设门限值的大小基于热噪声的功率设定。
步骤2044c:通信设备将S2个列向量分别乘以Σ 3中的与S2个列向量对应的奇异值,得到第二干扰信道H dl2
例如,H dl2=[h ul,1,h ul,2,...,h ul,S],h ul,j=u j*Σ(j,j),u j是U 2的第j列向量,Σ(j,j)为Σ 2中第j行第j列的主对角线元素。j为大于或等于1且小于或等于S2整数。S2为大于或等于1的整数。
实现方式2:通信设备根据第三干扰信道H ul2确定第二干扰信道H dl2
具体的,通信设备将第三干扰信道H ul2乘以第三变换矩阵C,得到第二干扰信道H dl2
其中,第三变换矩阵C是根据第三仿真数据确定的第三干扰信道H ul2与第二干扰信道H dl2之间的关系;
第三仿真数据包括通过遍历多种非线性干扰场景仿真得到的多组历史第三干扰信道H ul2与历史第二干扰信道H dl2。关于非线性干扰场景的相关介绍请参阅前述相关介绍,这 里不再赘述。
例如,遍历多种非线性干扰场景获取第三仿真数据。第三仿真数据包括
Figure PCTCN2022091129-appb-000025
Figure PCTCN2022091129-appb-000026
i的取值为[1,S1]之间的整数,S1为统计样本个数。那么
Figure PCTCN2022091129-appb-000027
Figure PCTCN2022091129-appb-000028
Figure PCTCN2022091129-appb-000029
经过矩阵向量化处理得到的,
Figure PCTCN2022091129-appb-000030
Figure PCTCN2022091129-appb-000031
经过矩阵向量化处理得到的。那么,
Figure PCTCN2022091129-appb-000032
代表对矩阵
Figure PCTCN2022091129-appb-000033
的伪逆操作。那么,
Figure PCTCN2022091129-appb-000034
步骤2044与步骤2045之间没有固定的执行顺序,可以先执行步骤2044再执行步骤2045,或者,先执行步骤2045再执行步骤2044,或者,依据情况同时执行步骤2044至步骤2045,具体本申请不做限定。
请参阅图3,图3为本申请实施例通信处理方法的另一个实施例示意图。在图3中,通信处理方法包括:
301、根据第一预编码权值生成至少两个第一信号。
其中,第一预编码权值与第一非线性干扰信道信息相关。第一非线性干扰信道信息是根据第一非线性干扰信号确定的。第一非线性干扰信号是至少两个第二信号激发第一非线性干扰源得到的非线性干扰信号。
例如,至少两个第一信号包括信号X1和信号X2。其中,信号X1满足X1=P dl1*S 1。信号X2满足X2=P dl1*S 2
其中,P dl1是第一预编码权值。信号S 1和信号S 2为未经过预编码处理的信号。信号S 1和信号S 2可以分别为Z*F维的矩阵。
Z为第一预编码权值对应的信号发射方向数量,Z为大于1且小于或等于N的整数。
F为通信设备的下行带宽对应的频域样点;或者,F为通信设备的下行带宽对应的时域样点数。
关于下行带宽与频域样点数以及下行带宽与时域样点数的相关说明示例可以参阅前述步骤2041的相关介绍,这里不再赘述。
在一些实施方式中,若信号S 1和信号S 2分别为频域信号,则F可以为信号S 1和信号S 2分别占用的频域样点数(也可以称为子载波数)。若信号S 1和信号S 2分别为时域信号,则F可以为信号S 1和信号S 2分别占用的时域样点数。
上述步骤301中的第一预编码权值包括多个信号发射方向对应的预编码权值。
下面介绍第一预编码权值与第一非线性干扰信道信息相关的多种可能的实现方式。
实现方式1:第一非线性干扰信道信息指示第一协方差矩阵R dl1,第一预编码权值P dl1是基于第一协方差矩阵R dl1得到的。
其中,第一协方差矩阵R dl1是发射天线和第一非线性干扰源之间的信道的协方差矩阵。第一协方差矩阵为N*N维的矩阵,N为发射天线的数量,N为大于或等于2的整数。
需要说明的是,第一预编码权值可以是通信设备根据第一协方差矩阵R dl1确定的;或者,第一预编码权值是其他通信设备根据第一协方差矩阵R dl1确定的,具体本申请不做限定。下面以通信设备根据第一协方差矩阵R dl1确定第一预编码权值的实现方式为例进行说明。下面结合步骤a至步骤c进行介绍。
步骤a:对第一协方差矩阵R dl1进行奇异值分解,得到第一协方差矩阵R dl1的第一左奇异矩阵U 1
其中,第一协方差矩阵满足R dl1=U 11V 1 H
R dl1为第一协方差矩阵,第一左奇异矩阵U 1为N*N维的矩阵,N为通信设备的发射天线数量。
V 1为N*N维的矩阵,V 1为第一协方差矩阵R dl1的右奇异矩阵。V 1 H为V 1的共轭转置。
1为N*N维的对角矩阵。∑ 1的第k列向量上对应的主对角线元素为第一左奇异矩阵U 1的第k个列向量对应的奇异值。k为大于或等于1且小于或等于N的整数。∑ 1的主对角线元素均大于0,∑ 1中除了主对角线元素之外的其他元素均为0。
步骤b:从第一左奇异矩阵U 1中选择前Z个列向量,Z为大于或等于1且小于N的整数;
其中,前Z个列向量为[u dl,1,u dl,2,…u dl,Z]。u dl,a为U 1中的第a个列向量,a为大于或等于1且小于或等于Z的整数。
步骤c:对前Z个列向量进行共轭处理,得到第一预编码权值P dl1
其中,第一预编码权值
Figure PCTCN2022091129-appb-000035
向量
Figure PCTCN2022091129-appb-000036
表示对向量u dl,a中的元素取共轭。
第一左奇异矩阵U 1包括多个信号发射方向的非线性干扰信道信息。通信设备可以结合前Z个列向量包括的非线性干扰信道信息确定第一预编码权值。从而实现通信设备准确获取前Z个列向量对应的信号发射方向上非线性干扰源的信道信息。无需通过扫描波束的方式来确定非线性干扰信道信息。节省波束扫描带来的能耗开销,提高通信设备获取到的非线性干扰信道信息的准确性。
实现方式2:第一非线性干扰信道信息指示第一干扰空间D dl1。第一预编码权值P dl1是基于第一干扰空间D dl1得到的。
其中,第一干扰空间D dl1是发射天线到第一非线性干扰源之间的信道空间。
需要说明的是,第一预编码权值可以是通信设备根据第一干扰空间D dl1确定的;或者,第一预编码权值是其他通信设备根据第一干扰空间D dl1确定的,具体本申请不做限定。下面以通信设备根据第一干扰空间D dl1确定第一预编码权值的实现方式为例进行说明。下面结合步骤d至步骤e进行介绍。
步骤d:从第一干扰空间D dl1中选择前Z个列向量。
其中,Z为大于或等于1且小于或等于第一干扰空间D dl1的列数的整数。
例如,前Z个列向量为[d dl,1,d dl,2,…d dl,Z],d dl,a为第一干扰空间D dl1的第a个列向量。a为大于或等于1且小于或等于Z的整数。
步骤e:对前Z个列向量进行共轭处理,得到第一预编码权值P dl1
例如,第一预编码权值
Figure PCTCN2022091129-appb-000037
分别为第一干扰空间D dl1中的第a个列向量。a为大于或等于1且小于或等于Z的整数。向量
Figure PCTCN2022091129-appb-000038
表示对向量d dl,a中的元素取共轭。
上述第一干扰空间中的每个列向量对应一个信号发射方向。第一干扰空间中每个列向 量包括对应信号发射方向的非线性干扰信道信息。通信设备可以根据前Z个列向量包括的非线性干扰信道信息确定第一预编码权值。从而实现通信设备准确获取前Z个列向量对应的信号发射方向上非线性干扰源的信道信息。无需通过扫描波束的方式来确定非线性干扰信道信息。节省波束扫描带来的能耗开销,提高通信设备获取到的非线性干扰信道信息的准确性。
实现方式3:第一非线性干扰信道指示第一干扰信道H dl1。第一干扰信道H dl1是发射天线到第一非线性干扰源之间的信道。第一预编码权值P dl1是基于第一干扰信道H dl1得到的。
需要说明的是,第一预编码权值P dl1可以是通信设备根据第一干扰信道H dl1确定的;或者,第一预编码权值P dl1是其他通信设备根据第一干扰信道H dl1确定的,具体本申请不做限定。下面以通信设备根据第一干扰信道H dl1确定第一预编码权值P dl1的实现方式为例进行说明。下面结合步骤f至步骤h进行介绍。
步骤f:从第一干扰信道H dl1中选择前Z个列向量。
其中,Z为大于或等于1且小于或等于第一干扰信道H dl1的列数。
例如,前Z个列向量为[h dl,1,h dl,2,…h dl,Z]。h dl,a是第一干扰信道H dl1的第a个列向量。
步骤g:对前Z个列向量分别进行归一化处理,得到归一化处理后的前Z个列向量;
步骤h:对归一化处理后的前Z个列向量分别进行共轭处理,得到第一预编码权值P dl1
上述第一干扰信道H dl1中的每个列向量对应一个信号发射方向。第一干扰信道H dl1中每个列向量包括对应信号发射方向的非线性干扰信息。通信设备根据前Z个列向量包括的非线性干扰信道信息确定第一预编码权值。从而实现通信设备准确的获取前Z个列向量对应的信号发射方向上非线性干扰源的信道信息。无需通过扫描波束的方式来确定非线性干扰信道信息。节省波束扫描带来的能耗开销,提高通信设备获取到的非线性干扰信道信息的准确性。
302、输出至少两个第一信号。
步骤302与前述图2A所示的实施例的步骤202类似,具体可以参阅前述图2A所示的实施例的步骤202的相关介绍,这里不再赘述。
可选的,上述图3所示的实施例还包括步骤303至步骤304。步骤303至步骤304可以在步骤302之后执行。
303、接收第二非线性干扰信号。
304、根据第二非线性干扰信号确定第二非线性干扰信道信息。
步骤303至步骤304与前述图2A所示的实施例中步骤203至步骤204类似,具体请参阅前述图2A所示的实施例中的步骤203至步骤204的相关介绍,这里不再赘述。
可选的,上述图3所示的实施例还包括步骤305至步骤310。步骤305至步骤310可以在步骤304之后执行。
305、判断是否满足第一条件,若是,则执行步骤306;若否,则执行步骤310。
在一些实施方式中,第一条件包括以下至少一项:第二非线性干扰信道信息对应的迭代次数大于或等于第一预设阈值、第一非线性干扰信号与第二非线性干扰信号之间的功率差的绝对值小于或等于第二预设阈值。
上述步骤301至步骤304可以理解为通信设备获取非线性干扰信道信息的一次迭代过程。通过设备通过执行多次上述迭代过程以获取到第二非线性干扰信道信息。第二非线性干扰信道信息对应的迭代次数可以理解为通信设备获取到第二非线性干扰信道信息对应执行迭代过程的次数。
需要说明的是,可选的,通信设备结合仿真或测试得到的经验值设定第一预设阈值和第二预设阈值。例如,第一预设阈值可以为3或4。第二预设阈值可以为0.1dB(分贝)。
306、根据第二预编码权值生成至少两个第三信号。
其中,第二预编码权值与第二非线性干扰信道信息相关。第二预编码权值与第一预编码权值类似,具体可以参阅前述步骤301中第一预编码权值的相关介绍,这里不再赘述。
例如,第一预编码权值是从第一非线性干扰信道信息中确定的三个信号发射方向对应的预编码权值。第二预编码权值是从第二非线性干扰信道信息中确定的该三个信号发射方向对应的预编码权值。
307、输出至少两个第三信号。
其中,至少两个第三信号用于第三非线性干扰信号的激发,第三非线性干扰信号是至少两个第三信号激发第三非线性干扰源得到的非线性干扰信号。
步骤302与前述图2A所示的实施例的步骤202类似,具体可以参阅前述图2A所示的实施例的步骤202的相关介绍,这里不再赘述。
308、接收第三非线性干扰信号。
309、根据第三非线性干扰信号确定第三非线性干扰信道信息。
步骤308至步骤309与前述图2A所示的实施例中步骤203至步骤204类似,具体请参阅前述图2A所示的实施例中的步骤203至步骤204的相关介绍,这里不再赘述。
需要说明的是,在步骤309之后,通信设备可以判断是否满足第一条件。若是,则通信设备输出第三非线性干扰信道信息;若否,则通信设备再结合第三非线性干扰信道信息执行类似上述步骤306至309的迭代过程。
例如,通信设备通过多次迭代过程可以获取第二预编码权值对应的三个信号发射方向的非线性干扰信道信息。从而提高通信设备获取到的该三个信号发射方向的非线性干扰信道信息的准确性。
310、输出第二非线性干扰信道信息。
若通信设备确定满足第一条件,通信设备可以输出第二非线性干扰信道信息。
关于第二非线性干扰信道信息的相关介绍请参阅前述图2A所示的实施例中的步骤204中的相关介绍,这里不再赘述。
例如,通信设备的发射天线所覆盖的信号发射方向范围内存在六个非线性干扰源。通信设备通过上述图3所示的实施例的方法获取其中三个非线性干扰源的信道信息。如图4所示,图4的横坐标表示非线性干扰源的索引。第一个非线性干扰源的索引为1,第二个非线性干扰源的索引为2,以此类推,第六个非线性干扰源的索引为6。图4的纵坐标表示非线性干扰源的空间方向与非线性干扰源的实际空间方向之间的误差。图4中,迭代(Interation)0代表通信设备经过一次迭代过程得到的六个非线性干扰源的空间方向的 与实际六个非线性干扰源的空间方向的误差。Interation1代表通信设备经过两次迭代过程得到的六个非线性干扰源的空间方向的与实际六个非线性干扰源的空间方向的误差。Interation2代表通信设备经过三次迭代过程得到的六个非线性干扰源的空间方向的与实际六个非线性干扰源的空间方向的误差。
由图4中可知,通信设备经过三次迭代过程后,通信设备获取到的非线性干扰源的空间方向与非线性干扰源的实际空间方向的误差小于-15dB。
例如,通信设备通过三次迭代过程得到的第一个非线性干扰源的空间方向表示为向量3,第一个非线性干扰源的实际空间方向为向量4。向量3和向量4均为归一化处理后的向量。通信设备获取到的第一个非线性干扰源的空间方向与第一个非线性干扰源的实际空间方向之间的误差表示为:10*log 10(1-a 1 2),a 1为向量3与向量4的内积。由上述图4可知,10*log 10(1-a 1 2)小于-15dB。
通信设备执行上述图3所示的实施例之后,通信设备可以获取到最后一次迭代过程得到的非线性干扰信道信息。通信设备可以根据非线性干扰信道信息执行一些相应的操作,具体请参阅前述图2A所示的实施例中步骤204中的相关介绍,这里不再赘述。
本申请实施例中,通信设备根据第一预编码权值生成至少两个第一信号,并输出至少两个第一信号。而第一预编码权值与第一非线性干扰信道信息相关。也就是第一预编码权值是基于第一非线性干扰信道信息得到的。通信设备无需通过扫描波束的方式确定下行发送波束。从而避免扫描波束所带来的时间耗费,以及避免扫描波束所带来的能耗开销。节省通信设备的能耗开销。并且,第一预编码权值与第一非线性干扰信道信息相关,这样可以提高通信设备获取到的非线性干扰信道信息的准确度。
请参阅图5A,图5A为本申请实施例通信处理方法的另一个实施例示意图。在图5A中,通信处理方法包括:
501、根据第一预编码权值生成至少两个第一信号。
其中,第一预编码权值是基于第一初始预编码权值和第一干扰权值得到的。第一初始预编码权值和第一干扰权值是基于第一非线性信道信息得到的。
关于第一非线性干扰源的相关介绍请参阅前述图2A所示的实施例中的步骤201的相关介绍,这里不再赘述。
第一初始预编码权值基于第一非线性干扰信道信息得到的。下面介绍几种可能的实现方式。
实现方式1:第一非线性干扰信道信息指示第一协方差矩阵R dl1,第一初始预编码权值是基于第一协方差矩阵R dl1得到的。
其中,第一协方差矩阵R dl1为发射天线到第一非线性干扰源之间的信道的协方差矩阵。
需要说明的是,第一初始预编码权值可以是通信设备根据第一协方差矩阵R dl1确定的;或者,第一初始预编码权值是其他通信设备根据第一协方差矩阵R dl1确定的,具体本申请不做限定。后文以通信设备根据第一协方差矩阵R dl1确定第一初始预编码权值为例进行介绍,具体的过程请参阅后文图8的相关介绍。
实现方式2:第一非线性干扰信道信息指示第一干扰空间D dl1,第一初始预编码权值是 基于第一干扰空间D dl1得到的。
其中,第一干扰空间D dl1是发射天线到第一非线性干扰源之间的信道干扰空间。
需要说明的是,第一初始预编码权值可以是通信设备根据第一干扰空间D dl1确定的;或者,第一初始预编码权值是其他通信设备根据第一干扰空间D dl1确定的,具体本申请不做限定。后文以通信设备根据第一干扰空间D dl1确定第一初始预编码权值为例进行介绍,具体过程请参阅后文图9所示的实施例的相关介绍。
实现方式3:第一非线性干扰信道信息指示第一干扰信道H dl1,第一初始预编码权值是基于第一干扰信道H dl1得到的。
其中,第一干扰信道H dl1是发射天线到第一非线性干扰源之间的信道。
需要说明的是,第一初始预编码权值可以是通信设备根据第一干扰信道H dl1确定的;或者,第一初始预编码权值是其他通信设备根据第一干扰信道H dl1确定的,具体本申请不做限定。后文以通信设备根据第一干扰信道H dl1确定第一初始预编码权值为例进行介绍,具体过程请参阅图10所示的实施例的相关介绍。
实现方式4:第一初始预编码权值是基于第一非线性干扰信号得到的。
需要说明的是,第一初始预编码权值可以是通信设备根据第一非线性干扰信号确定的;或者,第一初始预编码权值是其他通信设备根据第一非线性干扰信号确定的,具体本申请不做限定。后文以通信设备根据第一非线性干扰信号确定第一初始预编码权值为例进行介绍,具体过程请参阅图11所示的实施例的相关介绍。
在一些实施方式中,第一预编码权值为第一个信号发射方向对应的预编码权值。第一非线性干扰信道信息包括多个信号发射方向的非线性干扰信道信息。该多个信号发射方向包括通信设备的发射天线所覆盖的全部发射空间内非线性干扰源所在的空间方向。
其中,第一个信号发射方向通常可以理解为非线性干扰信号的功率较大的非线性干扰源所在的空间方向。
例如,至少两个第二信号分别为信号X3和信号X4。其中,信号X3满足X3=W dl0*P dl0*S 3。信号X4满足X4=W dl0*P dl0*S 4
W dl0为N*N维的单位矩阵,P dl0为N*N维的矩阵,N为发射天线的数量。信号S 3和信号S 4分别为N*F维的信号。信号S 3和信号S 4分别为N*F维的频域信号或时域信号。
若信号S 3和信号S 4分别为频域信号,则F可以为信号S 3和信号S 4分别占用的频域样点数(也可以称为子载波数)。若信号S 3和信号S 4分别为时域信号,则F可以为信号S 3和信号S 4分别占用的时域样点数。
例如,通信设备通过发射天线所覆盖的全部发射空间内发射至少两个第二信号。若通信设备的发射天线所覆盖的全部发射空间内有六个信号发射方向上存在非线性干扰源,该至少两个第二信号激发该六个信号发射方向上的非线性干扰源得到非线性干扰信号。通信设备接收该非线性干扰信号,并根据该非线性干扰信号确定第一非线性干扰信道信息。第一非线性干扰信道信息包括该六个信号发射方向的非线性干扰信道信息。
在该实施方式中,第一初始预编码权值P dl1可以通过第一非线性干扰信道信息获取,具体获取方式可以参阅后文相关介绍。第一干扰权值W dl1为第一个信号发射方向对应的干扰权值。第一干扰权值满足W dl1=W dl0。那么第一预编码权值为P dl1*W dl0
例如,至少两个第一信号包括信号X1和信号X2。信号X1满足X1=P dl1*W dl1*S 1。信号X2满足X2=P dl1*W dl1*S 2
信号S 1和信号S 2分别为未经预编码处理的信号。信号S 1和信号S 2分别1*F维的频域信号或时域信号。若信号S 1和信号S 2分别为频域信号,则F可以为信号S 1和信号S 2分别占用的频域样点数。若信号S 1和信号S 2分别为时域信号,则F可以为信号S 1和信号S 2分别占用的时域样点数。
F为通信设备的下行带宽对应的频域样点;或者,F为通信设备的下行带宽对应的时域样点数。
关于下行带宽与频域样点数以及下行带宽与时域样点数的相关说明示例可以参阅前述步骤2041的相关介绍,这里不再赘述。
在一些实施方式中,第一预编码权值为第二个信号发射方向对应的预编码权值。第一非线性干扰信道信息包括部分信号发射方向的非线性干扰信道信息。
其中,通信设备的发射天线覆盖的全部发射空间内有k个信号发射方向上存在非线性干扰源。部分发射空间包括除第一个信号发射方向之外的其他信号发射方向。k为大于或等于2且小于或等于N的整数。
需要说明的是,可选的,第一个信号发射方向的非线性干扰源的非线性干扰信号的功率通常大于第二个信号发射方向的非线性干扰源的非线性干扰信号的功率。
例如,至少两个第二信号分别为信号X3和信号X4。信号X3满足X3=W dl2*P dl0*S 3,信号X4满足X4=W dl2*P dl0*S 4
P dl0为N*N维的矩阵,N为发射天线的数量。
Figure PCTCN2022091129-appb-000039
w dl1为第一初始预编码权值P dl1
Figure PCTCN2022091129-appb-000040
为w dl1的共轭转置。
W dl2可以理解为第二个信号发射方向对应的干扰权值。W dl1=W dl0,W dl0为N*N维的单位矩阵。
信号S 3和信号S 4分别为N*F维的信号。信号S 3和信号S 4分别为N*F维的频域信号或时域信号。
在一些实施方式中,若信号S 3和信号S 4分别为频域信号,则F可以为信号S 3和信号S 4分别占用的频域样点数(也可以称为子载波数)。若信号S 3和信号S 4分别为时域信号,则F可以为信号S 3和信号S 4分别占用的时域样点数。
例如,通信设备通过发射天线所覆盖的部分发射空间内发射至少两个第二信号。若通信设备的发射天线所覆盖的部分发射空间内有五个信号发射方向上存在非线性干扰源,该至少两个第二信号激发该五个信号发射方向上的非线性干扰源得到非线性干扰信号。通信设备接收该非线性干扰信号,并根据该非线性干扰信号确定第一非线性干扰信道信息。第一非线性干扰信道信息包括该五个信号发射方向上的非线性干扰信道信息。
在该实施方式中,第一初始预编码权值P dl2可以通过第一非线性干扰信道信息获取,具体获取方式可以参阅后文相关介绍。第一干扰权值W dl2为第二个信号发射方向对应的干扰权值。第一干扰权值W dl2满足
Figure PCTCN2022091129-appb-000041
那么第一预编码权值为P dl2*W dl2
例如,至少两个第一信号包括信号X1和信号X2。信号X1满足X1=P dl2*W dl2*S 1,信号X2满足X2=P dl2*W dl2*S 2
信号S 1和信号S 2分别为未经预编码处理的信号。信号S 1和信号S 2分别1*F维的频域信 号或时域信号。在一些实施方式中,若信号S 1和信号S 2分别为频域信号,则F可以为信号S 1和信号S 2分别占用的频域样点数(也可以称为子载波数)。若信号S 1和信号S 2分别为时域信号,则F可以为信号S 1和信号S 2分别占用的时域样点数。
由此可知,通信设备在获取第二个信号发射方向对应的非线性干扰信道信息时,规避第一个信号发射方向的非线性干扰信号的干扰。从而提高通信设备获取到的第二个信号发射方向的非线性干扰信道信息的准确性。
在一些实施方式中,第一预编码权值为第g个信号发射方向对应的预编码权值。第一非线性干扰信道信息包括部分信号发射方向的非线性干扰信道信息。
其中,通信设备的发射天线覆盖的全部发射空间内有k个信号发射方向上存在非线性干扰源。部分发射空间包括除前g-1个信号发射方向之外的其他信号发射方向。k为大于或等于2且小于或等于N的整数。g为大于或等于3且小于或等于N的整数。
需要说明的是,可选的,前g-1个信号发射方向上的非线性干扰源的非线性干扰信号的功率通常均大于第g个信号发射方向上的非线性干扰源的非线性干扰信号的功率。
例如,至少两个第二信号分别为信号X3和信号X4。信号X3满足X3=W dlg*P dl0*S 3,信号X4满足X4=W dlg*P dl0*S 4
P dl0为N*N维的矩阵,N为发射天线的数量。
W dlg为第g个信号发射方向对应的干扰权值。
Figure PCTCN2022091129-appb-000042
w dl,(g-1)为P dl(g-1)
Figure PCTCN2022091129-appb-000043
为w dl,(g-1)的共轭转置。
W dl(g-1)为第g-1个信号发射方向对应的干扰权值。P dl(g-1)为第g-1个信号发射方向对应的初始预编码权值。
信号S 3和信号S 4分别为N*F维的信号。信号S 3和信号S 4分别为N*F维的频域信号或时域信号。
若信号S 3和信号S 4分别为频域信号,则F可以为信号S 3和信号S 4分别占用的频域样点数(也可以称为子载波数)。若信号S 3和信号S 4分别为时域信号,则F可以为信号S 3和信号S 4分别占用的时域样点数。
例如,通信设备通过发射天线所覆盖的部分发射空间内发射至少两个第二信号。若通信设备的发射天线所覆盖的部分发射空间内有N-g+1个信号发射方向上存在非线性干扰源,该至少两个第二信号激发该N-g+1个信号发射方向上的非线性干扰源得到非线性干扰信号。通信设备接收该非线性干扰信号,并根据该非线性干扰信号确定第一非线性干扰信道信息。第一非线性干扰信道信息包括该N-g+1个信号发射方向上的非线性干扰信道信息。
在该实施方式中,第一初始预编码权值P dlg可以通过第一非线性干扰信道信息获取,具体获取方式可以参阅后文相关介绍。第一干扰权值W dlg满足
Figure PCTCN2022091129-appb-000044
那么第一预编码权值为P dlg*W dlg
例如,至少两个第一信号包括信号X1和信号X2。信号X1满足X1=P dlg*W dlg*S 1,信号X2满足X2=P dlg*W dlg*S 2
信号S 1和信号S 2分别为未经预编码处理的信号。信号S 1和信号S 2分别1*F维的频域信号或时域信号。在一些实施方式中,若信号S 1和信号S 2分别为频域信号,则F可以为信号 S 1和信号S 2分别占用的频域样点数。若信号S 1和信号S 2分别为时域信号,则F可以为信号S 1和信号S 2分别占用的时域样点数。
由此可知,通信设备在获取第g个信号发射方向对应的非线性干扰信道信息时,规避前g-1个信号发射方向的非线性干扰信号的干扰。从而提高通信设备获取到的第g个信号发射方向的非线性干扰信道信息的准确性。
在该实施方式中,可选的,通信设备对w dl,(g-1)进行重正交化处理和归一化处理,得到w′ dl,(g-1)。然后,通信设备根据w′ dl,(g-1)计算第一干扰权值W dlg
其中,第一干扰权值
Figure PCTCN2022091129-appb-000045
或者,第一干扰权值
Figure PCTCN2022091129-appb-000046
Figure PCTCN2022091129-appb-000047
其中,I为N*N维的矩阵。
Figure PCTCN2022091129-appb-000048
具体的,通信设备循环执行下述公式1和公式2的计算,以得到w′ dl,(g-1)。其中,c为大于等于1且小于等于g-1的整数。
Figure PCTCN2022091129-appb-000049
Figure PCTCN2022091129-appb-000050
上述实现方式中,通信设备对w dl,(g-1)进行重正交化处理和归一化处理。然后,通信设备确定W dlg。这样,通信设备可以在获取第g个信号发射方向上的非线性干扰信道信息时,可以更好地避开前g-1个信号发射方向上的非线性干扰信号的干扰。从而提高通信设备获取到的第g个信号发射方向的非线性干扰信道信息的准确性。
502、输出至少两个第一信号。
503、接收第二非线性干扰信号。
504、根据第二非线性干扰信号确定第二非线性干扰信道信息。
步骤502至步骤504与前述图2A所示的实施例中的步骤202至步骤204类似,具体请参阅前述图2A所示的实施例中的步骤202至步骤204的相关介绍,这里不再赘述。
本申请实施例中,通信设备根据第一预编码权值生成至少两个第一信号,并输出至少两个第一信号。第一预编码权值是基于第一初始预编码权值和第一干扰权值得到的。第一初始预编码权值和第一干扰权值是基于第一非线性信道信息得到的。这样通信设备无需通过扫描波束的方式确定下行发送波束。从而避免扫描波束所带来的时间耗费,以及避免扫描波束所带来的能耗开销。节省通信设备的能耗开销。并且,第一预编码权值是基于第一 初始预编码权值和第一干扰权值得到的。第一初始预编码权值和第一干扰权值是基于第一非线性信道信息得到的。这样可以提高通信设备获取到的非线性干扰信道信息的准确度。
可选的,上述图5A所示的实施例还包括步骤505至步骤510。步骤505至步骤510可以在步骤504之后执行。
505、判断是否获取到N个信号发射方向的非线性干扰信道信息;若是,则执行步骤510;若否,则执行步骤506。
例如,通信设备的发射天线所覆盖的信号发射方向的总数为6。通信设备判断是否获取到6个信号发射方向的非线性干扰信道信息;如果是,则执行步骤510;如果不是,则执行步骤506。
506、根据第四预编码权值生成至少两个第五信号。
第四预编码权值是基于第二初始预编码权值和第二干扰权值得到的。第二初始预编码权值和第二干扰权值是基于第一非线性干扰信道信息得到的。
例如,上述步骤501中,第一预编码权值是第一个信号发射方向对应的预编码权值。
步骤506中,第四预编码权值是第二个信号发射方向对应的预编码权值。
第二初始预编码权值与第一初始预编码权值类似,具体第二初始预编码权值的确定过程可以参考前述第一初始预编码权值的确定过程的相关介绍,这里不再赘述。
第二干扰权值与第一干扰权值类似,具体第二干扰权值的相关介绍可以参阅前述第一干扰权值的相关介绍,这里不再赘述。
507、输出至少两个第五信号。
508、接收第五非线性干扰信号。
509、根据第五非线性干扰信号确定第三非线性干扰信道信息。
步骤507至步骤509与前述步骤502至步骤504类似,具体请参阅前述步骤502至步骤504的相关介绍,这里不再赘述。
510、输出第二非线性干扰信道信息。
如果通信设备获取到N个信号发射方向上的非线性干扰信道信息,那么通信设备可以输出第二非线性干扰信道信息。关于第二非线性干扰信道信息的相关介绍请参考前述图2A所示的实施例中的步骤204中的相关介绍,这里不再赘述。
可选的,上述图5A所示的实施例还包括步骤504a至步骤504d。下面结合图5B进行介绍。步骤504a至步骤504f可以在步骤504之后执行。可选的,步骤504a至步骤504f在步骤505之前执行。
504a:判断是否满足第一条件,若是,则执行步骤504f,若否,则执行步骤504b。
关于第一条件的相关介绍请参阅前述图3所示的实施例中的步骤305中第一条件的相关介绍,这里不再赘述。
504b:根据第三预编码权值生成至少两个第四信号;
其中,第三预编码权值是基于第三初始预编码权值和第一干扰权值得到的。第三初始预编码权值是基于第二非线性干扰信道信息得到的。第一干扰权值是基于第一非线性干扰权值得到的。例如,第三预编码权值等于第三初始预编码权值乘以第一干扰权值。
例如,第一初始预编码权值是从第一非线性干扰信道信息中确定的第一个信号发射方向对应的初始预编码权值。第三初始预编码权值是从第二非线性干扰信道信息中确定的该第一个信号发射方向对应的初始预编码权值。通信设备通过多次迭代过程获取第一个信号发射方向的非线性干扰信道信息。从而提高通信设备获取到的第一个信号发射方向的非线性干扰信道信息的准确性。
第三初始预编码权值与第一初始预编码权值类似,关于第三初始预编码权值的确定过程可以参考前述图5A所示的实施例中步骤501中第一预编码权值的相关介绍,这里不再赘述。
504c:输出至少两个第四信号;
504d:接收第四非线性干扰信号;
504e:根据第四非线性干扰信号确定第四非线性干扰信道信息。
通信设备通过多次迭代过程获取一个信号发射方向对应的预编码权值。从而提高通信设备获取到的该信号发射方向的非线性干扰信道信息的准确性。
504f:输出第二非线性干扰信道信息。
步骤504c至步骤504f与前述图3所示的实施例中步骤305至步骤310类似,具体请参阅前述图3所示的实施例中步骤305至步骤310的具体介绍,这里不再赘述。
例如,通信设备的发射天线所覆盖的信号发射方向范围内存在六个非线性干扰源。通信设备通过上述图5A和图5B所示的实施例的通信处理方法获取到第一个信号发射方向上的非线性干扰源的信道信息。具体如图6所示,图6的横坐标表示非线性干扰源的索引。第一个非线性干扰源的索引为1,第二个非线性干扰源的索引为2,以此类推,第六个非线性干扰源的索引为6。图6的纵坐标表示非线性干扰源的空间方向与非线性干扰源的实际空间方向之间的误差。图6中,通信设备通过三次迭代过程获取第四个非线性干扰源的信道信息。通信设备获取到的第四个非线性干扰源的空间方向与第四个非线性干扰源的实际空间方向的误差小于-15dB。
如图7所示,通信设备通过上述图5A和图5B所示的实施例的通信处理方法获取到第二个信号发射方向上的非线性干扰源的信道信息。图7中,通信设备通过三次迭代过程获取第二个非线性干扰源的信道信息。通信设备获取到的第二个非线性干扰源的空间方向与第二个非线性干扰源的实际空间方向的误差小于-15dB。
下面结合图8至图11分别介绍通信设备确定第一初始预编码权值的四种可能的实现方式。
图8为本申请实施例通信处理方法的另一个实施例示意图。请参阅图8,通信处理方法包括:
801、对第一协方差矩阵R dl1进行奇异值分解,得到第一协方差矩阵R dl1的第一左奇异矩阵U 1
其中,第一协方差矩阵R dl1满足R dl1=U 11V 1 H
U 1为N*N维的矩阵,N为通信设备的发射天线的数量。
V 1为N*N维的矩阵,V 1为第一协方差矩阵R dl1的右奇异矩阵。V 1 H为V 1的共轭转置。
1为N*N维的对角矩阵。∑ 1的第k列向量上对应的主对角线元素为U 1的第k列向量对应的奇异值。k为大于或等于1且小于或等于N的整数。∑ 1的主对角线元素均大于0,∑ 1中除了主对角线元素之外的其他元素均为0。
802、从第一左奇异矩阵U 1中选择第一个列向量,并对第一个列向量进行共轭处理,得到第一初始预编码权值。
具体的,上述步骤802中,通信设备从U 1中选择第一个列向量,并对第一个列向量进行共轭处理,得到第一预编码权值。
例如,第一初始预编码权值为第一个信号发射方向对应的初始预编码权值P dl1
Figure PCTCN2022091129-appb-000051
Figure PCTCN2022091129-appb-000052
表示对向量u 1中的元素取共轭。u 1是第一左奇异矩阵U 1中的第一个列向量。
上述图8所示的实施例中,第一左奇异矩阵U 1包括多个信号发射方向上发射天线到非线性干扰源之间的非线性信道信息。通信设备可以通过上述步骤801至步骤802确定当前待处理的信号发射方向的第一初始预编码权值。这样可以提高通信设备后续获取到的该信号发射方向的非线性干扰信道信息的准确度。并且有利于加快收敛,有效降低迭代次数。无需通过扫描波束的方式来确定非线性干扰信道信息。节省波束扫描带来的能耗开销,提高通信设备获取到的非线性干扰信道信息的准确性。
图9为本申请实施例通信处理方法的另一个实施例示意图。请参阅图9,通信处理方法包括:
901、从第一干扰空间D dl1中选择第一个列向量,并对第一个列向量进行共轭处理,得到第一初始预编码权值。
例如,第一初始预编码权值为第一个信号发射方向对应的初始预编码权值P dl1
Figure PCTCN2022091129-appb-000053
Figure PCTCN2022091129-appb-000054
表示对向量d 1中的元素取共轭。d 1是第一干扰空间D dl1中的第一个列向量。
上述图9所示的实施例中,第一干扰空间D dl1中每个列向量对应一个信号发射方向。第一干扰空间D dl1中每个列向量包括对应信号发射方向的非线性干扰信道信息。该非线性干扰信道信息为该信号发射方向的发射天线到非线性干扰源之间的非线性信道信息。通信设备从第一干扰空间D dl1确定当前待处理的信号发射方向的第一初始预编码权值。这样可以提高通信设备后续获取到的该信号发射方向的非线性干扰信道信息的准确度。有利于加快收敛,有效降低迭代次数。无需通过扫描波束的方式来确定非线性干扰信道信息。节省波束扫描带来的能耗开销,提高通信设备获取到的非线性干扰信道信息的准确性。
图10为本申请实施例通信处理方法的另一个实施例示意图。请参阅图10,通信处理方法包括:
1001、从第一干扰信道H dl1中选择第一个列向量;
1002对第一个列向量进行共轭处理,再进行归一化处理,得到第一初始预编码权值。
上述步骤1001至步骤1002以通信设备确定第一个信号发射方向对应的初始预编码权值为例进行介绍。对于其他信号发射方向对应的初始预编码权值的确定过程同样适用。
上述图10所示的实施例中,第一干扰信道H dl1中每个列向量对应的一个信号发射方向。第一干扰信道中每个列向量包括对应信号发射方向的非线性干扰信道信息。该非线性干扰信道信息为该信号发射方向的发射天线到非线性干扰源之间的非线性信道信息。通信设备 可以通过上述步骤1001至步骤1002确定当前待处理的信号发射方向的第一初始预编码权值。这样可以提高通信设备后续获取到的该信号发射方向的非线性干扰信道信息的准确度。有利于加快收敛,有效降低迭代次数。无需通过扫描波束的方式来确定非线性干扰信道信息。节省波束扫描带来的能耗开销,提高通信设备获取到的非线性干扰信道信息的准确性。
图11为本申请实施例通信处理方法的另一个实施例示意图。请参阅图11,通信处理方法包括:
1101、根据第一非线性干扰信号确定第一信号接收权值;
在步骤1101中,通信设备根据第一非线性干扰信号确定第一信号接收权值的方式有多种,下面示出几种可能的实现方式。需要说明的是,下述示出的实现方式仅仅是一种示例,并不属于对本申请的限定。对于其它实现方式,本申请仍适用。
下面结合步骤1101a至步骤1101b介绍实现方式1。
步骤1101a:对第一非线性干扰信号Y 1中每个时域样点或每个频域样点对应的列向量进行平均,得到第一中间矩阵。
其中,第一中间矩阵Z′ ul1满足
Figure PCTCN2022091129-appb-000055
其中,T为通信设备接收第一非线性干扰信号的时域样点数或频域样点数。y t为第一非线性干扰信号Y 1中的第t个时域样点或第t个频域样点对应的列向量。
例如,通信设备的上行带宽为5Mb(兆),通信设备所使用的子载波间隔为15KHz(千赫兹)。那么通信设备在频域上占用300个子载波。300个子载波对应300个频域样点,因此,L为300。若通信设备包括10个发射天线,那么第一非线性干扰信号Y 1为10*300维的矩阵。那么每个频域样点对应的一个列向量。第1个子载波对应第一非线性干扰信号Y 1中的第一个列向量。第2个子载波对应第一非线性干扰信号Y 1中的第二个列向量。以此类推,第300个子载波对应第一非线性干扰信号Y 1中的第300个列向量。
例如,通信设备的上行带宽为5Mb(兆),通信设备所使用的子载波间隔为15KHz(千赫兹)。那么通信设备在频域上占用300个子载波。通信设备对承载于300个子载波的频域信号作傅里叶变换,得到时域信号,该时域信号包括512个时域样点。因此,L为512。若通信设备包括10个发射天线,那么第一非线性干扰信号Y 1为10*512维的矩阵。那么,第1个时域样点对应第一非线性干扰信号Y 1中的第一个列向量,第2个时域样点对应第一非线性干扰信号Y 1中的第二个列向量。以此类推,第300个时域样点对应第一非线性干扰信号Y 1中的第300个列向量。
步骤1101b:对第一中间矩阵进行归一化处理,得到第一信号接收权值。
其中,第一信号接收权值Z ul1满足
Figure PCTCN2022091129-appb-000056
Z ul1为第一信号接收权值,Z′ ul1为第一中间矩阵,|Z′ ul1|为Z′ ul1的取模。
下面结合步骤1101c至步骤1101d介绍实现方式2。
步骤1101c:确定第一非线性干扰信号Y 1中第t个时域样点或第t个频域样点上对应的列向量。
其中,t为大于或等于1且小于或等于T的整数,T为通信设备接收第一非线性干扰信号的时域样点数或频域样点数。
步骤1101d:对该列向量进行归一化处理,得到第一信号接收权值。
其中,第一信号接收权值Z ul1满足
Figure PCTCN2022091129-appb-000057
Z ul1为第一信号接收权值,y t为第一非线性干扰信号Y 1中第t个时域样点或第t个频域样点上对应的列向量。|y t|为y t的取模。
下面结合步骤1101e至步骤1101g介绍实现方式3。
步骤1101e:对第一非线性干扰信号Y 1中每个时域样点或每个频域样点对应的列向量进行平均,得到第一中间矩阵。
步骤1101e与前述实现方式1中的步骤1101a类似,具体请参阅前述实现方式1中的步骤1101a的相关介绍,这里不再赘述。
步骤1101f:利用瑞利(Rayleigh)商、Z′ ul1和第四协方差矩阵R ul1计算得到第二中间矩阵。
其中,第二中间矩阵满足
Figure PCTCN2022091129-appb-000058
Z″ ul1为第二中间矩阵,
Figure PCTCN2022091129-appb-000059
关于
Figure PCTCN2022091129-appb-000060
的相关介绍请参阅前述步骤1101d中关于第一中间矩阵的相关介绍,这里不再赘述。
Figure PCTCN2022091129-appb-000061
Figure PCTCN2022091129-appb-000062
的共轭转置。第四协方差矩阵R ul1为第一非线性干扰源到接收天线之间的信道的协方差矩阵。I为M*M维的单位矩阵。
步骤1101g:对第二中间矩阵进行归一化处理,得到第一信号接收权值。
第一信号接收权值满足
Figure PCTCN2022091129-appb-000063
其中,Z ul1为第一信号接收权值,|Z″ ul1|为Z″ ul1的取模。
1102、根据第一信号接收权值确定第一初始预编码权值。
在步骤1102中,通信设备根据第一信号接收权值确定第一初始预编码权值的方式有多种,下面示出几种可能的实现方式。需要说明的是,下述示出的实现方式仅仅是一种示例,并不属于对本申请的限定。对于其它实现方式,本申请仍适用。
下面结合1102a至1102b介绍实现方式1。
步骤1102a:对第一信号接收权值Z ul1进行共轭处理,得到第三中间矩阵Z* ul1
其中,Z* ul1为M*1维的矩阵,M为接收天线的数量。
步骤1102b:将第三中间矩阵Z* ul1作为第一初始预编码权值。
在一些实施方式中,上述实现方式1适用于通信设备的接收天线数与通信设备的发射 天线数一致,且接收天线的位置与发射天线的位置一致的场景。
下面结合1102c至1102e介绍实现方式2。
步骤1102c:对第一信号接收权值Z ul1进行共轭处理,得到第三中间矩阵Z* ul1
其中,Z* ul1为M*1维的矩阵。Z* ul1中的第r行对应的元素为通信设备的第r个接收天线对应的元素,r为大于或等于1且小于或等于M的整数,M为接收天线的数量。
步骤1102d:确定每个发射天线距离最近的接收天线;
步骤1102e:将每个发射天线距离最近的接收天线对应的第三中间矩阵Z* ul1中的元素作为第一初始预编码权值中该发射天线对应的元素。
例如,第一初始预编码权值为第一个信号发射方向对应的初始预编码权值P dl1。P dl1中第w行对应的元素为第w个发射天线对应的元素,P dl1为N*1维的矩阵。N为发射天线的数量,w为大于或等于1且小于或等于N的整数。
下面介绍通信设备确定P dl1中的元素的过程。
通信设备分别寻找N个发射天线中每个发射天线距离最近的接收天线。通信设备将第三中间矩阵Z* ul1中与该发射天线距离最近的接收天线对应的元素作为P dl1中的该发射天线对应的元素。
例如,通信设备寻找与发射天线w距离最近的接收天线v。那么通信设备可以确定Z dl1(w)=P dl1(v)。Z dl1(w)为第三中间矩阵Z* ul1中第w个接收天线对应的元素,P dl1(v)为P dl1中第v个发射天线对应的元素。w为大于或等于1且小于或等于N的整数。v为大于或等于1且小于或等于M的整数。
在一些实施方式中,上述实现方式2适用于通信设备的发射天线数与通信设备的接收天线数不相等的场景。上述实现方式2也适用于通信设备的发射天线的位置与通信设备的接收天线的位置不一致的场景。
下面结合1102f至1102g介绍实现方式3。
步骤1102f:将第一信号接收权值Z ul1乘以第四变换矩阵D,得到D*Z ul1
其中,第四变换矩阵D是根据第四仿真数据确定的第一信号接收权值与初始预编码权值之间的关系。第四仿真数据包括通过遍历多种非线性干扰场景下仿真得到的多组历史信号接收权值与历史初始预编码权值。关于非线性干扰场景的相关介绍请参阅前述图3所示的实施例中的相关介绍,这里不再赘述。
例如,遍历多种非线性干扰场景获取第四仿真数据。第四仿真数据包括
Figure PCTCN2022091129-appb-000064
Figure PCTCN2022091129-appb-000065
i的取值为[1,S5]之间的整数,S5为统计样本个数,S5为大于1的整数。那么
Figure PCTCN2022091129-appb-000066
Figure PCTCN2022091129-appb-000067
Figure PCTCN2022091129-appb-000068
经过矩阵向量化处理得到的,
Figure PCTCN2022091129-appb-000069
Figure PCTCN2022091129-appb-000070
经过矩阵向量化处理得到的。那么,
Figure PCTCN2022091129-appb-000071
代表对矩阵
Figure PCTCN2022091129-appb-000072
的伪逆操作。那么,
Figure PCTCN2022091129-appb-000073
步骤1102g:对D*Z ul1进行共轭处理,得到第一初始预编码权值。
例如,第一初始预编码权值为第一个信号发射方向对应的初始预编码权值P dl1。P dl1=(D*Z ul1) *
上述实现方式3适用的场景较多。例如,上述实现方式3适用于通信设备的发射天线数与接收天线数相等或不相等的场景。例如,上述实现方式3适用于通信设备的发射天线的位置与通信设备的接收天线的位置一致或不一致的场景。
相应于上述方法实施例给出的方法,本申请实施例还提供相应的装置,包括用于执行上述实施例相应的模块。所述模块可以是软件,也可以是硬件,或者是软件和硬件结合。
图12给出了一种通信处理装置的结构示意图。所述通信处理装置1200可以是网络设备,也可以是终端设备,也可以是支持网络设备实现上述方法的芯片、芯片系统或处理器等,还可以是支持终端设备实现上述方法的芯片、芯片系统、或处理器等。通信处理装置1200可用于实现上述方法实施例中描述的方法,具体可以参见上述方法实施例中的说明。
通信处理装置1200可以包括一个或多个处理器1201,所述处理器1201也可以称为处理单元,可以实现一定的控制功能。所述处理器1201可以是通用处理器或专用处理器等。例如,可以是基带处理器或中央处理器。基带处理器可以用于对通信协议以及通信数据进行处理,中央处理器可以用于对通信处理装置(如,基站、基带芯片、终端、终端芯片、分布单元(distribute unit,DU)或集中单元(central unit,CU)等)进行控制,执行软件程序,处理软件程序的数据。
在一种可选的设计中,处理器1201也可以存储有指令和/或数据1203,所述指令和/或数据1203可以被所述处理器运行,使得通信处理装置执行上述方法实施例中描述的方法。
在另一种可选的设计中,处理器1201中可以包括用于实现接收和发送功能的收发单元。例如,该收发单元可以是收发电路,或者是接口,或者是接口电路。用于实现接收和发送功能的收发电路、接口或接口电路可以是分开的,也可以集成在一起。上述收发电路、接口或接口电路可以用于代码/数据的读写,或者,上述收发电路、接口或接口电路可以用于信号的传输或传递。
在又一种可能的设计中,通信处理装置1200可以包括电路,所述电路可以实现前述方法实施例中发送或接收或者通信的功能。
可选的,通信处理装置1200中可以包括一个或多个存储器1202,其上可以存有指令1204,所述指令可在所述处理器上被运行,使得通信处理装置1200执行上述方法实施例中描述的方法。可选的,所述存储器中还可以存储有数据。可选的,处理器中也可以存储指令和/或数据。所述处理器和存储器可以单独设置,也可以集成在一起。
可选的,通信处理装置1200还可以包括收发器1205和/或天线1206。所述处理器1201可以称为处理单元,对通信处理装置1200进行控制。所述收发器1205可以称为收发单元、收发机、收发电路、收发装置或收发模块等,用于实现收发功能。
可选的,本申请实施例中的通信处理装置1200可以用于执行本申请实施例中图2A、图2B、图3、图5A、图5B、图8、图9、图10和图11描述的方法,也可以用于执行图2A、图2B、图3、图5A、图5B、图8、图9、图10和图11对应的方法实施例所对应的各种实现方式的方法及各种实现方式相互结合的方法。
本申请中描述的处理器和收发器可实现在集成电路(integrated circuit,IC)、模拟IC、射频集成电路RFIC、混合信号IC、专用集成电路(application specific integrated circuit,ASIC)、印刷电路板(printed circuit board,PCB)、电子设备等上。该处理器和收发器也可以用各种IC工艺技术来制造,例如互补金属氧化物半导体(complementary metal oxide semiconductor,CMOS)、N型金属氧化物半导体(nMetal-oxide-semiconductor, NMOS)、P型金属氧化物半导体(positive channel metal oxide semiconductor,PMOS)、双极结型晶体管(bipolar junction transistor,BJT)、双极CMOS(BiCMOS)、硅锗(SiGe)、砷化镓(GaAs)等。
以上实施例描述中的通信处理装置可以是网络设备或者终端设备,但本申请中描述的通信处理装置的范围并不限于此,而且通信处理装置的结构可以不受图12的限制。通信处理装置可以是独立的设备或者可以是较大设备的一部分。例如,通信处理装置可以是:
(1)独立的集成电路IC,或芯片,或,芯片系统或子系统;
(2)具有一个或多个IC的集合,可选的,该IC集合也可以包括用于存储数据和/或指令的存储部件;
(3)ASIC,例如调制解调器(MSM);
(4)可嵌入在其他设备内的模块;例如,基站中的BBU,或者,基站中的AAU和BBU;
(5)接收机、终端、智能终端、蜂窝电话、无线设备、手持机、移动单元、车载设备、网络设备、云设备、人工智能设备、机器设备、家居设备、医疗设备、工业设备等。
本申请实施例还提供一种通信处理装置,该通信处理装置可以为终端设备,终端设备可以用于执行上述方法实施例所示的通信处理方法。下面提供终端设备的一种可能的结构示意图。
图13为本申请提供的终端设备的结构示意图。为了便于说明,图13仅示出了终端设备的主要部件。如图13所示,终端设备1300包括处理器、存储器、控制电路、天线以及输入输出装置。处理器主要用于对通信协议以及通信数据进行处理,以及对整个终端进行控制,执行软件程序,处理软件程序的数据。存储器主要用于存储软件程序和数据。射频电路主要用于基带信号与射频信号的转换以及对射频信号的处理。天线主要用于收发电磁波形式的射频信号。输入输出装置,例如触摸屏、显示屏,键盘等主要用于接收用户输入的数据以及对用户输出数据。
当终端设备开机后,处理器可以读取存储单元中的软件程序,解析并执行软件程序的指令,处理软件程序的数据。当需要通过无线发送数据时,处理器对待发送的数据进行基带处理后,输出基带信号至射频电路,射频电路将基带信号进行处理后得到射频信号并将射频信号通过天线以电磁波的形式向外发送。当有数据发送到终端设备时,射频电路通过天线接收到射频信号,该射频信号被进一步转换为基带信号,并将基带信号输出至处理器,处理器将基带信号转换为数据并对该数据进行处理。
为了便于说明,图13仅示出了一个存储器和处理器。在实际的终端设备中,可以存在多个处理器和存储器。存储器也可以称为存储介质或者存储设备等,本申请实施例对此不做限制。
作为一种可选的实现方式,处理器可以包括基带处理器和中央处理器,基带处理器主要用于对通信协议以及通信数据进行处理,中央处理器主要用于对整个终端设备进行控制,执行软件程序,处理软件程序的数据。图13中的处理器集成了基带处理器和中央处理器的功能,本领域技术人员可以理解,基带处理器和中央处理器也可以是各自独立的处理器,通过总线等技术互联。本领域技术人员可以理解,终端设备可以包括多个基带处理器以适 应不同的网络制式,终端设备可以包括多个中央处理器以增强其处理能力,终端设备的各个部件可以通过各种总线连接。所述基带处理器也可以表述为基带处理电路或者基带处理芯片。所述中央处理器也可以表述为中央处理电路或者中央处理芯片。对通信协议以及通信数据进行处理的功能可以内置在处理器中,也可以以软件程序的形式存储在存储单元中,由处理器执行软件程序以实现基带处理功能。
在一个例子中,可以将具有收发功能的天线和控制电路视为终端设备1300的收发单元1311,将具有处理功能的处理器视为终端设备1300的处理单元1312。如图13所示,终端设备1300包括收发单元1311和处理单元1312。收发单元也可以称为收发器、收发机、收发装置等。可选的,可以将收发单元1311中用于实现接收功能的器件视为接收单元,将收发单元1311中用于实现发送功能的器件视为发送单元,即收发单元1311包括接收单元和发送单元。示例性的,接收单元也可以称为接收机、接收器、接收电路等,发送单元可以称为发射机、发射器或者发射电路等。可选的,上述接收单元和发送单元可以是集成在一起的一个单元,也可以是各自独立的多个单元。上述接收单元和发送单元可以在一个地理位置,也可以分散在多个地理位置。
请参阅图14,图14为本申请实施例提供的通信处理装置的另一个结构示意图。通信处理装置1400可以是终端设备,也可以是终端设备的部件(例如,集成电路,芯片等等)。或者,该通信处理装置1400可以是网络设备,也可以是网络设备的部件(例如,集成电路,芯片等等)。该通信处理装置1400也可以是其他通信模块,用于实现本申请方法实施例中的方法。该通信处理装置1400可以包括:处理模块1402(或称为处理单元)。可选的,还可以包括收发模块1401(或称为收发单元)和存储模块1403(或称为存储单元)。
在一种可能的设计中,如图14中的一个或多个模块可能由一个或多个处理器来实现,或者由一个或多个处理器和存储器来实现;或者由一个或多个处理器和收发器实现;或者由一个或多个处理器、存储器和收发器实现,本申请实施例对此不做限定。所述处理器、存储器、收发器可以单独设置,也可以集成。
通信处理装置1400具备实现本申请实施例描述的终端的功能,比如,通信处理装置1400包括终端设备执行本申请实施例描述的终端设备涉及步骤所对应的模块或单元或手段(means),所述功能或单元或手段(means)可以通过软件实现,或者通过硬件实现,也可以通过硬件执行相应的软件实现,还可以通过软件和硬件结合的方式实现。详细可进一步参考前述对应方法实施例中的相应描述。或者,通信处理装置1400具备实现本申请实施例描述的网络设备的功能,比如,通信处理装置1400包括所述网络设备执行本申请实施例描述的网络设备涉及步骤所对应的模块或单元或手段(means),所述功能或单元或手段(means)可以通过软件实现,或者通过硬件实现,也可以通过硬件执行相应的软件实现,还可以通过软件和硬件结合的方式实现。详细可进一步参考前述对应方法实施例中的相应描述。
可选的,本申请实施例中的通信处理装置1400中各个模块可以用于执行本申请实施例中图2A、图2B、图3、图5A、图5B、图8、图9、图10和图11描述的方法,也可以用于执行图2A、图2B、图3、图5A、图5B、图8、图9、图10和图11对应的方法实施例所对应的各种实现方式的方法及各种实现方式相互结合的方法。
在一个可能的设计中,一种通信处理装置1400包括:处理模块1401。
处理模块1401,用于根据第一预编码权值生成至少两个第一信号,第一预编码权值与第一非线性干扰信道信息相关;第一非线性干扰信道信息是根据第一非线性干扰信号确定的;第一非线性干扰信号是至少两个第二信号激发第一非线性干扰源得到的非线性干扰信号;输出至少两个第一信号;该至少两个第一信号用于第二非线性干扰信号的激发。第二非线性干扰信号是至少两个第一信号激发第二非线性干扰源得到的非线性干扰信号。
在一个可能的设计中,一种通信处理装置1400包括:处理模块1401和收发模块1402。
处理模块1401,用于根据第一预编码权值生成至少两个第一信号,第一预编码权值与第一非线性干扰信道信息相关;第一非线性干扰信道信息是根据第一非线性干扰信号确定的;第一非线性干扰信号是至少两个第二信号激发第一非线性干扰源得到的非线性干扰信号;
收发模块1402,用于输出至少两个第一信号;该至少两个第一信号用于第二非线性干扰信号的激发。第二非线性干扰信号是至少两个第一信号激发第二非线性干扰源得到的非线性干扰信号。
可选的,收发模块1402还用于:
接收第二非线性干扰信号;
处理模块1401还用于:
根据第二非线性干扰信号确定第二非线性干扰信道信息。
可选的,第一非线性干扰源与第二非线性干扰源部分或全部相同。
可选的,第一非线性干扰信道信息指示第一协方差矩阵,第一协方差矩阵是发射天线和第一非线性干扰源之间的信道的协方差矩阵;第一协方差矩阵为N*N维的矩阵,N为发射天线的数量,N为大于或等于2的整数;第一预编码权值是基于第一协方差矩阵得到的。
可选的,第一非线性干扰信道信息指示第一干扰空间,第一干扰空间是发射天线到第一非线性干扰源之间的信道空间;第一预编码权值是基于第一干扰空间得到的。
可选的,第一非线性干扰信道指示第一干扰信道,第一干扰信道是发射天线到第一非线性干扰源之间的信道;第一预编码权值是基于第一干扰信道得到的。
可选的,收发模块1402具体用于:
当满足第一条件时,输出第二非线性干扰信道信息;
第一条件包括以下至少一项:第二非线性干扰信道信息对应的迭代次数大于或等于第一预设阈值、第一非线性干扰信号与第二非线性干扰信号之间的功率差的绝对值小于或等于第二预设阈值。
可选的,处理模块1401还用于:
当不满足第一条件时,根据第二预编码权值生成至少两个第三信号,第二预编码权值与第二非线性干扰信道信息相关;
收发模块1402还用于:
输出至少两个第三信号;
至少两个第三信号用于第三非线性干扰信号的激发,第三非线性干扰信号是至少两个 第三信号激发第三非线性干扰源得到的非线性干扰信号;
接收第三非线性干扰信号;
处理模块1401还用于:
根据第三非线性干扰信号确定第三非线性干扰信道信息;
第一条件包括以下至少一项:第二非线性干扰信道信息对应的迭代次数大于或等于第一预设阈值、第一非线性干扰信号与第二非线性干扰信号之间的功率差的绝对值小于或等于第二预设阈值。
可选的,第一预编码权值是基于第一初始预编码权值和第一干扰权值得到的,第一初始预编码权值和第一干扰权值是基于第一非线性干扰信道信息得到的。
可选的,处理模块1401还用于:
若不满足第一条件,根据第三预编码权值生成至少两个第四信号,第三预编码权值与第二非线性干扰信道信息相关;
收发模块1402还用于:
输出至少两个第四信号;
至少两个第四信号用于第四非线性干扰信号的激发,第四非线性干扰信号是至少两个第四信号激发第四非线性干扰源得到的非线性干扰信号;
接收第四非线性干扰信号;
处理模块1401还用于:
根据第四非线性干扰信号获取第四非线性干扰信道信息;
第一条件包括以下至少一项:第二非线性干扰信道信息对应的迭代次数大于或等于第一预设阈值、第一非线性干扰信号与第二非线性干扰信号之间的功率差的绝对值小于或等于第二预设阈值。
可选的,处理模块1401还用于:
当未获取到N个信号发射方向的非线性干扰信道信息时,根据第四预编码权值生成至少两个第五信号,每个信号发射方向对应一个预编码权值,所四发射权值与第一非线性干扰信道信息相关,N为发射天线的数量;
收发模块1402还用于:
输出至少两个第五信号;
至少两个第五信号用于第五非线性干扰信号的激发,第五非线性干扰信号是至少两个第五信号激发第五非线性干扰源的得到的非线性干扰信号;
接收第五非线性干扰信号;
处理模块1401还用于:
根据第五非线性干扰信号确定第五非线性干扰信道信息。
可选的,第一非线性干扰信道信息指示第一协方差矩阵,第一协方差矩阵为发射天线到第一非线性干扰源之间的信道的协方差矩阵;第一协方差矩阵为N*N的矩阵,N为发射天线的数量,N为大于或等于2的整数;第一初始预编码权值是基于第一协方差矩阵得到的。
可选的,第一非线性干扰信道信息指示第一干扰空间,第一干扰空间是发射天线到第一非线性干扰源之间的信道的干扰空间;第一初始预编码权值是基于第一干扰空间得到的。
可选的,第一非线性干扰信道信息指示第一干扰信道,第一干扰信道是发射天线到第一非线性干扰源之间的信道;第一初始预编码权值是基于第一干扰信道得到的。
可选的,第一初始预编码权值是基于第一非线性干扰信号得到的。
可选的,第二非线性干扰信道信息指示以下至少一项:
第二协方差矩阵、第三协方差矩阵、第二干扰空间、第三干扰空间、第二干扰信道、第三干扰信道;
第二协方差矩阵为发射天线到第二非线性干扰源的信道之间的协方差矩阵;第三协方差矩阵为第二非线性干扰源到接收天线的信道之间的协方差矩阵;
第二干扰空间为发射天线到第二非线性干扰源之间的信道空间;第三干扰空间为第二非线性干扰源到所述接收天线之间的信道空间;
第二干扰信道为发射天线到第二非线性干扰源的信道;第三干扰信道为第二非线性干扰源到接收天线的信道。
可选的,处理模块1401还用于:
根据第二非线性干扰信道信息在发射信号时规避第二非线性干扰源;或者,不在第二非线性干扰信号所在的频率上接收信号;或者,根据第二非线性干扰信道信息确定不同用户所属的频带,并通过频带调度对应的用户。
可以理解的是,本申请实施例中的一些可选的特征,在某些场景下,可以不依赖于其他特征,比如其当前所基于的方案,而独立实施,解决相应的技术问题,达到相应的效果,也可以在某些场景下,依据需求与其他特征进行结合。相应的,本申请实施例中给出的装置也可以相应的实现这些特征或功能,在此不予赘述。
本领域技术人员还可以理解到本申请实施例列出的各种说明性逻辑块(illustrative logical block)和步骤(step)可以通过电子硬件、电脑软件,或两者的结合进行实现。这样的功能是通过硬件还是软件来实现取决于特定的应用和整个系统的设计要求。本领域技术人员对于相应的应用,可以使用各种方法实现所述的功能,但这种实现不应被理解为超出本申请实施例保护的范围。
可以理解,本申请实施例中的处理器可以是一种集成电路芯片,具有信号的处理能力。在实现过程中,上述方法实施例的各步骤可以通过处理器中的硬件的集成逻辑电路或者软件形式的指令完成。上述的处理器可以是通用处理器、数字信号处理器(digital signal processor,DSP)、专用集成电路(application specific integrated circuit,ASIC)、现场可编程门阵列(field programmable gate array,FPGA)或者其它可编程逻辑器件、分立门或者晶体管逻辑器件、分立硬件组件。
本申请所描述的方案可通过各种方式来实现。例如,这些技术可以用硬件、软件或者硬件结合的方式来实现。对于硬件实现,用于在通信装置(例如,基站,终端、网络实体、或芯片)处执行这些技术的处理单元,可以实现在一个或多个通用处理器、DSP、数字信号处理器件、ASIC、可编程逻辑器件、FPGA、或其它可编程逻辑装置,离散门或晶体管逻辑, 离散硬件部件,或上述任何组合中。通用处理器可以为微处理器,可选地,该通用处理器也可以为任何传统的处理器、控制器、微控制器或状态机。处理器也可以通过计算装置的组合来实现,例如数字信号处理器和微处理器,多个微处理器,一个或多个微处理器联合一个数字信号处理器核,或任何其它类似的配置来实现。
可以理解,本申请实施例中的存储器可以是易失性存储器或非易失性存储器,或可包括易失性和非易失性存储器两者。其中,非易失性存储器可以是只读存储器(read-only memory,ROM)、可编程只读存储器(programmable ROM,PROM)、可擦除可编程只读存储器(erasable PROM,EPROM)、电可擦除可编程只读存储器(electrically EPROM,EEPROM)或闪存。易失性存储器可以是随机存取存储器(random access memory,RAM),其用作外部高速缓存。通过示例性但不是限制性说明,许多形式的RAM可用,例如静态随机存取存储器(static RAM,SRAM)、动态随机存取存储器(dynamic RAM,DRAM)、同步动态随机存取存储器(synchronous DRAM,SDRAM)、双倍数据速率同步动态随机存取存储器(double data rate SDRAM,DDR SDRAM)、增强型同步动态随机存取存储器(enhanced SDRAM,ESDRAM)、同步连接动态随机存取存储器(synchlink DRAM,SLDRAM)和直接内存总线随机存取存储器(direct rambus RAM,DR RAM)。应注意,本文描述的系统和方法的存储器旨在包括但不限于这些和任意其它适合类型的存储器。
本申请还提供了一种计算机可读介质,其上存储有计算机程序,该计算机程序被计算机执行时实现上述任一方法实施例的功能。
本申请还提供了一种计算机程序产品,该计算机程序产品被计算机执行时实现上述任一方法实施例的功能。
在上述实施例中,可以全部或部分地通过软件、硬件、固件或者其任意组合来实现。当使用软件实现时,可以全部或部分地以计算机程序产品的形式实现。所述计算机程序产品包括一个或多个计算机指令。在计算机上加载和执行所述计算机指令时,全部或部分地产生按照本申请实施例所述的流程或功能。所述计算机可以是通用计算机、专用计算机、计算机网络、或者其他可编程装置。所述计算机指令可以存储在计算机可读存储介质中,或者从一个计算机可读存储介质向另一个计算机可读存储介质传输,例如,所述计算机指令可以从一个网站站点、计算机、服务器或数据中心通过有线(例如同轴电缆、光纤、数字用户线(digital subscriber line,DSL))或无线(例如红外、无线、微波等)方式向另一个网站站点、计算机、服务器或数据中心进行传输。所述计算机可读存储介质可以是计算机能够存取的任何可用介质或者是包含一个或多个可用介质集成的服务器、数据中心等数据存储设备。所述可用介质可以是磁性介质(例如,软盘、硬盘、磁带)、光介质(例如,高密度数字视频光盘(digital video disc,DVD))、或者半导体介质(例如,固态硬盘(solid state disk,SSD))等。
可以理解,说明书通篇中提到的“实施例”意味着与实施例有关的特定特征、结构或特性包括在本申请的至少一个实施例中。因此,在整个说明书各个实施例未必一定指相同的实施例。此外,这些特定的特征、结构或特性可以任意适合的方式结合在一个或多个实施例中。可以理解,在本申请的各种实施例中,上述各过程的序号的大小并不意味着执行 顺序的先后,各过程的执行顺序应以其功能和内在逻辑确定,而不应对本申请实施例的实施过程构成任何限定。
可以理解,在本申请中,“当…时”、“若”以及“如果”均指在某种客观情况下装置会做出相应的处理,并非是限定时间,且也不要求装置实现时一定要有判断的动作,也不意味着存在其它限定。
本申请中的“同时”可以理解为在相同的时间点,也可以理解为在一段时间段内,还可以理解为在同一个周期内。
本申请中对于使用单数表示的元素旨在用于表示“一个或多个”,而并非表示“一个且仅一个”,除非有特别说明。本申请中,在没有特别说明的情况下,“至少一个”旨在用于表示“一个或者多个”,“多个”旨在用于表示“两个或两个以上”。
另外,本文中术语“系统”和“网络”在本文中常被可互换使用。
本文中术语“……中的至少一个”或“……中的至少一种”,表示所列出的各项的全部或任意组合,例如,“A、B和C中的至少一种”,可以表示:单独存在A,单独存在B,单独存在C,同时存在A和B,同时存在B和C,同时存在A、B和C这六种情况,其中A可以是单数或者复数,B可以是单数或者复数,C可以是单数或者复数。
可以理解,在本申请各实施例中,“与A对应的B”表示B与A相关联,根据A可以确定B。但还应理解,根据A确定B并不意味着仅仅根据A确定B,还可以根据A和/或其它信息确定B。本文中术语“和/或”,仅仅是一种描述关联对象的关联关系,表示可以存在三种关系,例如,A和/或B,可以表示:单独存在A,同时存在A和B,单独存在B这三种情况,其中A可以是单数或者复数,B可以是单数或者复数。字符“/”一般表示前后关联对象是一种“或”的关系。
本领域普通技术人员可以理解,结合本文中所公开的实施例描述的各示例的单元及算法步骤,能够以电子硬件、或者计算机软件和电子硬件的结合来实现。这些功能究竟以硬件还是软件方式来执行,取决于技术方案的特定应用和设计约束条件。专业技术人员可以对每个特定的应用来使用不同方法来实现所描述的功能,但是这种实现不应认为超出本申请的范围。
本领域普通技术人员可以理解,为描述的方便和简洁,上述描述的系统、装置和单元的具体工作过程,可以参考前述方法实施例中的对应过程,在此不再赘述。
可以理解,本申请中描述的系统、装置和方法也可以通过其它的方式实现。例如,以上所描述的装置实施例仅仅是示意性的,例如,所述单元的划分,仅仅为一种逻辑功能划分,实际实现时可以有另外的划分方式,例如多个单元或组件可以结合或者可以集成到另一个系统,或一些特征可以忽略,或不执行。另一点,所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口,装置或单元的间接耦合或通信连接,可以是电性,机械或其它的形式。
所述作为分离部件说明的单元可以是或者也可以不是物理上分开的,作为单元显示的部件可以是或者也可以不是物理单元,即可以位于一个地方,或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。
另外,在本申请各个实施例中的各功能单元可以集成在一个处理单元中,也可以是各个单元单独物理存在,也可以两个或两个以上单元集成在一个单元中。
所述功能如果以软件功能单元的形式实现并作为独立的产品销售或使用时,可以存储在一个计算机可读取存储介质中。基于这样的理解,本申请的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的部分可以以软件产品的形式体现出来,该计算机软件产品存储在一个存储介质中,包括若干指令用以使得一台计算机设备(可以是个人计算机,服务器,或者网络设备等)执行本申请各个实施例所述方法的全部或部分步骤。而前述的存储介质包括:U盘、移动硬盘、只读存储器(read-only memory,ROM)、随机存取存储器(random access memory,RAM)、磁碟或者光盘等各种可以存储程序代码的介质。
本申请中各个实施例之间相同或相似的部分可以互相参考。在本申请中各个实施例、以及各实施例中的各个实施方式/实施方法/实现方法中,如果没有特殊说明以及逻辑冲突,不同的实施例之间、以及各实施例中的各个实施方式/实施方法/实现方法之间的术语和/或描述具有一致性、且可以相互引用,不同的实施例、以及各实施例中的各个实施方式/实施方法/实现方法中的技术特征根据其内在的逻辑关系可以组合形成新的实施例、实施方式、实施方法、或实现方法。以上所述的本申请实施方式并不构成对本申请保护范围的限定。
以上所述,仅为本申请的具体实施方式,但本申请的保护范围并不局限于此,任何熟悉本技术领域的技术人员在本申请揭露的技术范围内,可轻易想到变化或替换,都应涵盖在本申请的保护范围之内。

Claims (19)

  1. 一种通信处理方法,其特征在于,所述方法包括:
    根据第一预编码权值生成至少两个第一信号,所述第一预编码权值与第一非线性干扰信道信息相关,所述第一非线性干扰信道信息是根据第一非线性干扰信号确定的,所述第一非线性干扰信号是至少两个第二信号激发第一非线性干扰源得到的非线性干扰信号;
    输出所述至少两个第一信号;
    所述至少两个第一信号用于第二非线性干扰信号的激发,所述第二非线性干扰信号是所述至少两个第一信号激发第二非线性干扰源得到的非线性干扰信号。
  2. 根据权利要求1所述的方法,其特征在于,所述方法还包括:
    接收所述第二非线性干扰信号;
    根据所述第二非线性干扰信号确定第二非线性干扰信道信息。
  3. 根据权利要求1或2所述的方法,其特征在于,所述第一非线性干扰源与所述第二非线性干扰源部分或全部相同。
  4. 根据权利要求1至3中任一项所述的方法,其特征在于,所述第一非线性干扰信道信息指示第一协方差矩阵,所述第一协方差矩阵是发射天线和所述第一非线性干扰源之间的信道的协方差矩阵;所述第一协方差矩阵为N*N维的矩阵,所述N为所述发射天线的数量,所述N为大于或等于2的整数;所述第一预编码权值是基于所述第一协方差矩阵得到的。
  5. 根据权利要求1至3中任一项所述的方法,其特征在于,所述第一非线性干扰信道信息指示第一干扰空间,所述第一干扰空间是发射天线到所述第一非线性干扰源之间的信道空间;所述第一预编码权值是基于所述第一干扰空间得到的。
  6. 根据权利要求1至3中任一项所述的方法,其特征在于,所述第一非线性干扰信道指示第一干扰信道,所述第一干扰信道是发射天线到所述第一非线性干扰源之间的信道;所述第一预编码权值是基于所述第一干扰信道得到的。
  7. 根据权利要求2至6中任一项所述的方法,其特征在于,所述方法还包括:
    当满足第一条件时,输出所述第二非线性干扰信道信息;
    所述第一条件包括以下至少一项:所述第二非线性干扰信道信息对应的迭代次数大于或等于第一预设阈值、所述第一非线性干扰信号与所述第二非线性干扰信号之间的功率差的绝对值小于或等于第二预设阈值。
  8. 根据权利要求2至6中任一项所述的方法,其特征在于,所述方法还包括:
    当不满足第一条件时,根据第二预编码权值生成至少两个第三信号,所述第二预编码权值与所述第二非线性干扰信道信息相关;
    输出所述至少两个第三信号;
    所述至少两个第三信号用于第三非线性干扰信号的激发,所述第三非线性干扰信号是所述至少两个第三信号激发第三非线性干扰源得到的非线性干扰信号;
    接收所述第三非线性干扰信号;
    根据所述第三非线性干扰信号确定第三非线性干扰信道信息;
    所述第一条件包括以下至少一项:所述第二非线性干扰信道信息对应的迭代次数大于 或等于第一预设阈值、所述第一非线性干扰信号与所述第二非线性干扰信号之间的功率差的绝对值小于或等于第二预设阈值。
  9. 根据权利要求1至3中任一项所述的方法,其特征在于,所述第一预编码权值是基于第一初始预编码权值和第一干扰权值得到的,所述第一初始预编码权值和所述第一干扰权值是基于所述第一非线性干扰信道信息得到的。
  10. 根据权利要求9所述的方法,其特征在于,所述方法还包括:
    若不满足第一条件,根据第三预编码权值生成至少两个第四信号,所述第三预编码权值与所述第二非线性干扰信道信息相关;
    输出所述至少两个第四信号;
    所述至少两个第四信号用于第四非线性干扰信号的激发,所述第四非线性干扰信号是所述至少两个第四信号激发第四非线性干扰源得到的非线性干扰信号;
    接收所述第四非线性干扰信号;
    根据所述第四非线性干扰信号获取第四非线性干扰信道信息;
    所述第一条件包括以下至少一项:所述第二非线性干扰信道信息对应的迭代次数大于或等于第一预设阈值、所述第一非线性干扰信号与所述第二非线性干扰信号之间的功率差的绝对值小于或等于第二预设阈值。
  11. 根据权利要求9或10所述的方法,其特征在于,所述方法还包括:
    当未获取到N个信号发射方向的非线性干扰信道信息时,根据第四预编码权值生成至少两个第五信号,每个信号发射方向对应一个预编码权值,所述第四发射权值与所述第一非线性干扰信道信息相关,所述N为发射天线的数量;
    输出所述至少两个第五信号;
    所述至少两个第五信号用于第五非线性干扰信号的激发,所述第五非线性干扰信号是所述至少两个第五信号激发第五非线性干扰源的得到的非线性干扰信号;
    接收所述第五非线性干扰信号;
    根据所述第五非线性干扰信号确定第五非线性干扰信道信息。
  12. 根据权利要求9至11中任一项所述的方法,其特征在于,所述第一非线性干扰信道信息指示第一协方差矩阵,所述第一协方差矩阵为发射天线到所述第一非线性干扰源之间的信道的协方差矩阵;所述第一协方差矩阵为N*N的矩阵,所述N为所述发射天线的数量,所述N为大于或等于2的整数;所述第一初始预编码权值是基于所述第一协方差矩阵得到的。
  13. 根据权利要求9至11中任一项所述的方法,其特征在于,所述第一非线性干扰信道信息指示第一干扰空间,所述第一干扰空间是发射天线到所述第一非线性干扰源之间的信道的干扰空间;所述第一初始预编码权值是基于所述第一干扰空间得到的。
  14. 根据权利要求9至11中任一项所述的方法,其特征在于,所述第一非线性干扰信道信息指示第一干扰信道,所述第一干扰信道是发射天线到所述第一非线性干扰源之间的信道;所述第一初始预编码权值是基于所述第一干扰信道得到的。
  15. 根据权利要求9至11中任一项所述的方法,其特征在于,所述第一初始预编码权 值是基于所述第一非线性干扰信号得到的。
  16. 根据权利要求2至15中任一项所述的方法,其特征在于,所述第二非线性干扰信道信息指示以下至少一项:
    第二协方差矩阵、第三协方差矩阵、第二干扰空间、第三干扰空间、第二干扰信道、第三干扰信道;
    所述第二协方差矩阵为发射天线到所述第二非线性干扰源的信道之间的协方差矩阵;所述第三协方差矩阵为所述第二非线性干扰源到接收天线的信道之间的协方差矩阵;
    所述第二干扰空间为所述发射天线到所述第二非线性干扰源之间的信道空间;所述第三干扰空间为所述第二非线性干扰源到所述接收天线之间的信道空间;
    所述第二干扰信道为所述发射天线到所述第二非线性干扰源的信道;所述第三干扰信道为所述第二非线性干扰源到所述接收天线的信道。
  17. 一种通信处理装置,其特征在于,包括:处理器,所述处理器与存储器耦合,所述存储器用于存储程序或指令,当所述程序或指令被所述处理器执行时,使得所述通信处理装置执行如权利要求1至16中任一项所述的方法。
  18. 一种通信处理装置,其特征在于,所述通信处理装置包括用于执行上述权利要求1至16中任一项所述方法的模块。
  19. 一种计算机可读介质,其特征在于,用于储存计算机程序或指令,所述计算机程序或指令被执行时使得计算机执行如权利要求1至16中任一项所述的方法。
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