WO2018137582A1 - 用于无线通信系统的电子设备和方法 - Google Patents

用于无线通信系统的电子设备和方法 Download PDF

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WO2018137582A1
WO2018137582A1 PCT/CN2018/073651 CN2018073651W WO2018137582A1 WO 2018137582 A1 WO2018137582 A1 WO 2018137582A1 CN 2018073651 W CN2018073651 W CN 2018073651W WO 2018137582 A1 WO2018137582 A1 WO 2018137582A1
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terminal device
detection
data
packet
electronic device
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PCT/CN2018/073651
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English (en)
French (fr)
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陈巍
郭欣
彭建军
白铂
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索尼公司
陈巍
郭欣
彭建军
白铂
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Priority to EP18744252.0A priority Critical patent/EP3576325A4/en
Priority to US16/478,481 priority patent/US10992414B2/en
Priority to JP2019539998A priority patent/JP7060022B2/ja
Priority to CN201880007225.6A priority patent/CN110178329A/zh
Publication of WO2018137582A1 publication Critical patent/WO2018137582A1/zh

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04J—MULTIPLEX COMMUNICATION
    • H04J11/00—Orthogonal multiplex systems, e.g. using WALSH codes
    • H04J11/0023—Interference mitigation or co-ordination
    • H04J11/0026—Interference mitigation or co-ordination of multi-user interference
    • H04J11/0036—Interference mitigation or co-ordination of multi-user interference at the receiver
    • H04J11/004—Interference mitigation or co-ordination of multi-user interference at the receiver using regenerative subtractive interference cancellation
    • H04J11/0043—Interference mitigation or co-ordination of multi-user interference at the receiver using regenerative subtractive interference cancellation by grouping or ordering the users
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/04—Wireless resource allocation
    • H04W72/044—Wireless resource allocation based on the type of the allocated resource
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/004—Arrangements for detecting or preventing errors in the information received by using forward error control
    • H04L1/0045—Arrangements at the receiver end
    • H04L1/0047—Decoding adapted to other signal detection operation
    • H04L1/0048—Decoding adapted to other signal detection operation in conjunction with detection of multiuser or interfering signals, e.g. iteration between CDMA or MIMO detector and FEC decoder
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/004—Arrangements for detecting or preventing errors in the information received by using forward error control
    • H04L1/0045—Arrangements at the receiver end
    • H04L1/0047—Decoding adapted to other signal detection operation
    • H04L1/005—Iterative decoding, including iteration between signal detection and decoding operation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/004—Arrangements for detecting or preventing errors in the information received by using forward error control
    • H04L1/0045—Arrangements at the receiver end
    • H04L1/0054—Maximum-likelihood or sequential decoding, e.g. Viterbi, Fano, ZJ algorithms
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/004—Arrangements for detecting or preventing errors in the information received by using forward error control
    • H04L1/0045—Arrangements at the receiver end
    • H04L1/0055—MAP-decoding
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/04—Wireless resource allocation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/04—Wireless resource allocation
    • H04W72/044—Wireless resource allocation based on the type of the allocated resource
    • H04W72/0446—Resources in time domain, e.g. slots or frames
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/04—Wireless resource allocation
    • H04W72/044—Wireless resource allocation based on the type of the allocated resource
    • H04W72/0453—Resources in frequency domain, e.g. a carrier in FDMA
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W88/00—Devices specially adapted for wireless communication networks, e.g. terminals, base stations or access point devices
    • H04W88/02—Terminal devices

Definitions

  • the present disclosure relates generally to electronic devices and methods for wireless communication systems, and more particularly to electronic devices and methods for resource multiplexing by multiple access through a Pattern Domain.
  • SCMA Sparse Code Multiple Access
  • SCMA constellation mapping and code domain extension are performed on data of one or more terminal devices, so that binary symbols are mapped to codewords in a multi-dimensional sparse codebook, so that data of one or more terminal devices can be the same
  • the time-frequency resource is sent; correspondingly, the receiving side detects the received data superimposed in the same time-frequency resource by using a detection algorithm, thereby separating data of each terminal device.
  • the new multiple access method also includes a Pattern Division Multiple Access (PDMA) technology.
  • PDMA Pattern Division Multiple Access
  • data of one or more terminal devices is mapped into a resource group by a pattern, so that data of one or more terminal devices can be transmitted in the same resource group; correspondingly, the receiving side passes the detection algorithm The received data superimposed in the same resource group is detected, thereby separating the data of each terminal device.
  • an electronic device for a wireless communication system includes processing circuitry.
  • the processing circuit can be configured to perform terminal device grouping for data transmission based on the terminal device information, wherein the plurality of data streams of the terminal device within the same group are resource multiplexed by mode domain multiple access.
  • the processing circuit may be further configured to perform at least one of terminal device re-grouping, intra-packet resource reallocation, and data detection scheme update based on the detected information of the data transmission, wherein the data detection scheme is configured to receive data based on the serial detection algorithm Decode.
  • an electronic device for a wireless communication system includes processing circuitry.
  • the processing circuit can be configured to obtain a terminal device grouping result, the terminal device grouping result being determined for data transmission based on the terminal device information, wherein the plurality of data streams of the terminal device within the same group pass the mode domain multiple access Resource reuse.
  • the processing circuit may be further configured to obtain at least one of a terminal device repacket result, a resource reallocation result, and an updated data detection scheme, the terminal device regrouping the result, the resource reallocation result, and the updated data detection scheme One is determined based on detection information of the data transmission, wherein the data detection scheme is for the electronic device to decode the received received data based on a serial detection algorithm.
  • a method for communication can include performing terminal device grouping for data transmission based on the terminal device information, wherein the plurality of data streams of the terminal device within the same packet are resource multiplexed by mode domain multiple access.
  • the method can also include performing at least one of terminal device re-grouping, intra-packet resource reallocation, and data detection scheme update based on the detected information of the data transmission, wherein the data detection scheme is for decoding the received data based on the serial detection algorithm.
  • a method for communication may include obtaining a terminal device grouping result, the terminal device grouping result being determined for data transmission based on the terminal device information, wherein the plurality of data streams of the terminal device in the same group are resourced by mode domain multiple access Reuse.
  • the method may further include obtaining at least one of a terminal device regrouping result, a resource reallocation result, and an updated data detection scheme, the terminal device regrouping result, a resource reallocation result, and an updated data detection scheme. It is determined based on detection information of data transmission, wherein the data detection scheme is used to decode the received reception data based on a serial detection algorithm.
  • an electronic device for a wireless communication system includes a serial detection receiver configured to include at least two levels of parallel detection units for Performing hierarchical decoding on the received mode domain multiple access signal, wherein each stage parallel detection unit supports parallel multi-terminal device data detection, and the decoding output of the parallel detection unit of the previous level is used as the post-level parallel detection unit.
  • the interference is known to be eliminated from the received mode domain multiple access signal, and the resource orthogonality of the target data stream of the parallel level detection unit of the previous level is better than the resource of the target data stream of the parallel detection unit of the latter level Orthogonality.
  • FIG. 1 Further aspects of the present disclosure also provide a computer readable storage medium storing one or more instructions that, when executed by one or more processors of an electronic device, cause an electronic device to perform in accordance with the present disclosure The corresponding method.
  • FIG. 1A-1C illustrate an example communication system for multiplexing transmission resources by a mode domain multiple access technique, in accordance with an embodiment of the present disclosure.
  • FIG. 2 illustrates an example electronic device for a wireless communication system in accordance with an embodiment of the disclosure.
  • FIG. 3A illustrates one way in which terminal device grouping can be used.
  • FIG. 3B illustrates an example manner of terminal device grouping in accordance with an embodiment of the present disclosure.
  • 4A and 4B illustrate example operations of a terminal device grouping in accordance with an embodiment of the present disclosure.
  • 5A-5D illustrate detection processing of an example data detection scheme in accordance with an embodiment of the present disclosure.
  • FIG. 6 illustrates an example of intra-packet resource allocation in accordance with an embodiment of the present disclosure.
  • FIG. 7 illustrates an example update operation combination of the update unit 210 in accordance with an embodiment of the present disclosure.
  • 8A and 8B illustrate a flow diagram of an example method of performing an update operation combination on a periodic basis or according to a triggering event, in accordance with an embodiment of the disclosure.
  • FIG. 9 illustrates an example of an intra-group resource allocation adjustment manner according to an embodiment of the present disclosure.
  • FIG. 10 illustrates another example electronic device for a wireless communication system in accordance with an embodiment of the present disclosure.
  • FIG. 11A illustrates an example method for communication in accordance with an embodiment of the present disclosure.
  • FIG. 11B illustrates another example method for communication in accordance with an embodiment of the present disclosure.
  • FIG. 12A illustrates an example signaling interaction procedure between a base station and a terminal device for uplink data transmission, in accordance with an embodiment of the present disclosure.
  • FIG. 12B illustrates an example signaling interaction procedure between a base station and a terminal device for downlink data transmission, in accordance with an embodiment of the present disclosure.
  • FIG. 13 shows an example of how the method of the present disclosure is applied to a cognitive radio communication scenario.
  • FIG. 14 is a block diagram showing an example structure of a personal computer as an information processing device that can be employed in an embodiment of the present disclosure
  • FIG. 15 is a block diagram showing a first example of a schematic configuration of an evolved node (eNB) to which the technology of the present disclosure may be applied;
  • eNB evolved node
  • 16 is a block diagram showing a second example of a schematic configuration of an eNB to which the technology of the present disclosure may be applied;
  • 17 is a block diagram showing an example of a schematic configuration of a smartphone to which the technology of the present disclosure can be applied;
  • FIG. 18 is a block diagram showing an example of a schematic configuration of a car navigation device to which the technology of the present disclosure can be applied.
  • FIG. 19 shows a performance analysis diagram of a data detection scheme in accordance with an embodiment of the present disclosure.
  • mode defines the occupancy of data of a plurality of terminal devices to a plurality of resources.
  • some form of coding may be used to embody the mode of resource occupancy of data of the terminal device.
  • data of a terminal device or “data stream of a terminal device” refers to a data or data stream transmitted from or to a terminal device.
  • data of the terminal device or “data stream of the terminal device” includes, in some examples, data or data streams transmitted from the terminal device to the base station in the uplink data transmission, and in other examples, from the base station to the downlink data transmission. The data or data stream transmitted by the terminal device.
  • Examples of the mode domain multiple access may include the foregoing SCMA and PDMA, which respectively define the occupancy of data of a plurality of terminal devices to a plurality of resources through a multi-dimensional sparse codebook and a feature pattern as modes, and thereby distinguish each terminal device
  • mode domain multiple access is distinguished from power domain multiple access in which data of a terminal device is distinguished by power characteristics.
  • SCMA SCMA
  • a sparse codebook can be designed to indicate whether the data of the terminal device occupies a certain resource by 1, 0.
  • PDMA different patterns can be designed for each terminal device to distinguish the occupation of resources.
  • resources may generally refer to time domain and frequency domain resources. Those skilled in the art will appreciate that resources may also include additional resources, such as airspace resources and code domain resources.
  • multiple data streams respectively for a plurality of terminal devices can be detected or decoded by a parallel detection algorithm.
  • the parallel detection algorithm can simultaneously decode the data streams for all terminal devices in an iterative manner. In other words, the detection or decoding of the data stream of one terminal device by the parallel detection algorithm does not depend on the detection result or the decoding result of the data stream of another terminal device.
  • Examples of the parallel detection algorithm may include, for example, a Maximum A Posteriori (MAP) detection algorithm, a Maximum Likelihood (ML) detection algorithm, and a Message Passing Algorithm (MPA) detection algorithm.
  • MAP Maximum A Posteriori
  • ML Maximum Likelihood
  • MPA Message Passing Algorithm
  • the parallel detection algorithm can obtain better detection performance with higher detection complexity. It can be understood that the complexity of the parallel detection algorithm is related to the number of resources and the number of terminal devices in the system. The larger the number of resources and the number of terminal devices, the higher the detection complexity.
  • multiple data streams respectively used for a plurality of terminal devices can also be detected or decoded by a serial detection algorithm.
  • the serial detection algorithm can decode the data stream of each terminal device one by one in a certain order.
  • the detection or decoding of the data stream of a terminal device by the serial detection algorithm depends on the detection result or the decoding result of the data stream of the preceding terminal device.
  • Examples of serial detection algorithms may include, for example, a Successive Interference Cancellation (SIC) detection algorithm.
  • SIC Successive Interference Cancellation
  • a typical application scenario for mode domain multiple access technology is a cellular mobile communication system.
  • 1A-1C illustrate an example communication system for multiplexing transmission resources by a mode domain multiple access technique, in accordance with an embodiment of the present disclosure.
  • the following describes the mode domain multiple access system of FIG. 1A to FIG. 1C by taking SCMA as an example, but it should be clear to those skilled in the art that the mode domain multiple access system can adopt any technology in the mode domain multiple access technology. (eg PDMA).
  • FIG. 1A shows an example operation of a transmitting end and a receiving end in an SCMA system.
  • the number of time-frequency resources in the system is K
  • the number of terminal devices is J
  • the number of resources required by each terminal device is N.
  • binary bit information is first obtained by an encoding operation (for example Where M is the number of constellation symbol points in the constellation diagram) modulated into N-dimensional constellation symbols (eg And converting the N-dimensional constellation symbols into sparse K-dimensional code words through the mapping matrix V (eg ).
  • a mapping matrix for a plurality of terminal devices may generally have a factor graph representation, and FIG.
  • each row in the factor graph F corresponds to one A resource node, each column corresponding to one terminal device, the element of the i-th row and the j-th column is 1 indicating that the corresponding constellation point of the terminal device j occupies the resource i, and the element of the i-th row and the j-th column is 0, indicating that the terminal device j does not occupy the resource i.
  • the signals of the J terminal devices are multiplexed and sent to the receiving end.
  • the multi-terminal device data detection can be implemented by using, for example, the MPA algorithm, ie
  • the signal X (x 1 , . . . , x J ) of the terminal device is detected.
  • the SCMA system 100a in Figure 1B corresponds to an uplink transmission scenario.
  • the SCMA system 100a includes a base station 105 and terminal devices 110-1 to 110-J, and the terminal devices 110-1 to 110-J multiplex the time-frequency transmission resources in the uplink direction to transmit data to the base station 105.
  • any of the terminal devices 110-1 to 110-J maps the binary data into constellation symbols according to the respective constellation maps and mapping matrices V, and then obtains a sparse codeword through the mapping matrix V.
  • the signals of the plurality of terminal devices are transmitted to the base station 105 through the wireless channel multiplexing, and the base station 105 decodes the data of the different terminal devices by the parallel detection algorithm after receiving the multiplexed signals.
  • a message passing algorithm MPA
  • the base station 105 detects the data of each terminal device on the multiplexed time-frequency resource by utilizing the sparsity of the received signal.
  • the base station 105 After receiving the multiplexed signal, the base station 105 establishes a factor graph model F according to the mapping matrix V of each terminal device 110-1 to 110-J, and uses each terminal device as a variable node, and each Time-frequency resources are used as a factor node.
  • the terminal device occupies a time-frequency resource, and is represented by a boundary between a variable node corresponding to the terminal device and a factor node corresponding to the time-frequency resource.
  • the possible values of each variable node that is, the constellation symbols that the terminal device may adopt when transmitting data
  • the probability of each value initial
  • the value can be set to equal.
  • Iterative processing is then performed, and in each iterative process, the variable node sends a prior probability of its possible value to each of the factor nodes connected to it.
  • the factor node calculates the posterior probability based on the received information and sends it to the variable node.
  • the convergence condition of the iteration is that the number of iterations is reached or the difference between the information sent by the variable nodes during the two iterations is less than the set threshold.
  • the constellation point symbols transmitted by each of the terminal devices 110-1 to 110-J can be decoded. According to the constellation diagram of each of the terminal devices 110-1 to 110-J, the binary data transmitted by it can be demodulated.
  • the sparseness of the signal in the SCMA system can make the MPA algorithm realize multi-terminal device detection with low complexity (ie, detecting the signal of each terminal device), in the case of a large number of system terminal devices (for example, in future communication)
  • the detection complexity of the uplink is still a large computational processing burden for the base station.
  • the detection complexity at each resource factor node is Proportional, where M is the number of constellation points in the constellation diagram, and d f is the maximum number of overlapping terminal devices on a single resource factor node, which is determined by the mapping matrix.
  • Detection complexity on all resource factor nodes Proportional, as indicated above, K is the number of resource factor nodes (number of real-time resources).
  • the SCMA system 100b in Figure 1C corresponds to a downlink transmission scenario.
  • the SCMA system 100b includes a base station 105 and terminal devices 110-1 to 110-J similarly to FIG. 1B.
  • the base station 105 multiplexes time-frequency transmission resources to the terminal devices 110-1 to 110 in the downlink direction. J sends the data.
  • the base station 105 maps the binary data of any of the terminal devices 110-1 to 110-J into constellation symbols, and then obtains a sparse codeword through the mapping matrix V.
  • the signals of the plurality of terminal devices are multiplexed and transmitted to the respective terminal devices.
  • the data for the terminal device itself is decoded by the parallel detection algorithm after each terminal device 110-1 to 110-J receives the signal multiplexed by the base station 105.
  • the terminal device can decode the data for the terminal device itself on the multiplexed time-frequency resource by using the MPA algorithm and utilizing the sparsity of the received signal.
  • the processing performed by each of the terminal devices 110-1 to 110-J by the MPA algorithm is similar to the processing performed by the base station 105 in the uplink SCMA, and the description thereof will not be repeated here.
  • the MPA algorithm is executed by each terminal device in the downlink SCMA, considering that the processing capability of the terminal device is weaker than that of the base station, the higher complexity of the algorithm has a greater impact on the terminal device. In downlink SCMA, the detection complexity is still Proportionate.
  • FIG. 1A to FIG. 1C are described by taking the SCMA technology as an example, it will be apparent to those skilled in the art that similar processing can be performed when other mode domain multiple access technologies such as PDMA are applied.
  • PDMA a pattern matrix is used instead of the above-described mapping matrix for transmission side coding and reception side decoding detection, and the rest of the processing is similar to the case of SCMA.
  • the complexity of the parallel detection algorithm is similarly related to one or more of the number of system resources, the number of terminal devices overlapping on a single resource, and the number of constellation points in the constellation.
  • the electronic device 200 in FIG. 2 may be, for example, the base station 105 in FIG. 1A and FIG. 1B or may be part of the base station 105, or may be a device (for example, a base station controller) for controlling a base station or A device at a base station or a part thereof.
  • the electronic device 200 can include a pre-processing unit 205 and an update unit 210.
  • the electronic device 200 may further include a detection information collecting unit 215. The operations performed by the respective units of the electronic device 200 are described below.
  • the pre-processing unit 205 may, for example, be configured to perform terminal device grouping for data transmission based on terminal device information, wherein a plurality of data streams of the terminal devices within the same packet are resource multiplexed by mode domain multiple access.
  • the terminal devices 110-1 to 110-J in FIGS. 1A and 1B can be divided into G packets, and the total transmission resources of the system can be correspondingly allocated to the respective packets.
  • the data streams of the terminal devices within each packet may be resource multiplexed by a mode domain multiple access technique such as SCMA, the resources between the different packets being, for example, orthogonal. Due to resource orthogonality between packets, data detection can be performed only within each packet.
  • SCMA mode domain multiple access technique
  • the complexity of parallel detection algorithms is related to the number of transmission resources.
  • the complexity of the parallel detection algorithm e.g., MPA
  • the complexity of the parallel detection algorithm can be reduced to some extent.
  • the update unit 210 may be configured, for example, to perform at least one of terminal device re-grouping, intra-packet resource reallocation, and data detection scheme update based on the detected information of the data transmission. For example, in a case where the detection performance indicating that the detection performance of the data transmission is not ideal, the system update unit 210 may adjust the G existing components of the terminal device or the resource allocation within the single packet, or update the data detection scheme, or perform these Any feasible combination of operations to improve the detection performance of data transmission.
  • the data detection scheme may be a data detection scheme based on a serial detection algorithm that may be used to decode received data based on a serial detection algorithm.
  • the parallel detection algorithm decodes the data of all terminal devices simultaneously in an iterative manner, and the detection complexity is high.
  • the data detection scheme based on the serial detection algorithm according to an embodiment of the present disclosure has a lower detection complexity.
  • the "serial detection based algorithm” is not limited to using only the serial detection algorithm, but means that the data detection scheme adopts at least the idea of serial detection, that is, the detection process can combine serial detection operations and parallelism. Detection operation.
  • the electronic device 200 may also include a detection information collecting unit 215.
  • the detection information collecting unit 215 can be configured, for example, to collect detection information in uplink and downlink data transmission, such as detection error information and detection complexity information, etc., for the update unit 210 to perform terminal device regrouping and intra-packet resource weighting based on the detection information. At least one of the allocation and data detection scenario updates.
  • the electronic device 200 may also not include the detection information collecting unit 215, but other operations (such as the updating unit 210) perform its operations and functions.
  • the detection information collection unit 215 can be configured to generate detection information for a specific terminal device (eg, detection error information of the terminal device) for a specific packet. Detection information (e.g., average detection error information of the terminal device within the packet) and detection information for the entire system (e.g., average detection error information of the terminal device throughout the system).
  • the electronic device 200 can be used for at least one of uplink data transmission and downlink data transmission.
  • electronic device 200 can be part of base station 105 or base station 105.
  • at least one of a packet and an update operation of the electronic device 200 may be used for detection decoding at the base station side
  • in downlink transmission at least one of a packet and an update operation of the electronic device 200 may be used. Detection decoding on the terminal side.
  • the detection information collecting unit 215 may collect the detection information directly from the base station 105; in the downlink data transmission, the detection information collecting unit 215 may be from each of the terminal devices 110-1 to The 110-J acquires the detection information, and accordingly, the respective detection information can be reported by each of the terminal devices 110-1 to 110-J.
  • the pre-processing unit 205 may perform initial resource allocation and determine an initial data detection scheme, as will be described in detail later with reference to FIGS. 5A-6.
  • a processing circuit may refer to various implementations of digital circuitry, analog circuitry, or mixed signal (combination of analog and digital) circuitry that perform functions in a computing system.
  • Processing elements may include, for example, circuits such as integrated circuits (ICs), ASICs (application specific integrated circuits), portions or circuits of individual processor cores, entire processor cores, separate processors, such as field programmable gate arrays (FPGAs) Programmable hardware device, and/or system including multiple processors.
  • ICs integrated circuits
  • ASICs application specific integrated circuits
  • FPGAs field programmable gate arrays
  • the electronic device 200 can be implemented at the chip level or can be implemented at the device level by including other external components.
  • the electronic device 200 can operate as a communication device as a complete machine.
  • each of the above-described elements is merely a logical functional module that is divided according to the specific functions that it implements, and is not intended to limit the specific implementation.
  • each of the above functional units may be implemented as a separate physical entity or may be implemented by a single entity (e.g., a processor (CPU or DSP, etc.), an integrated circuit, etc.).
  • the terminal device information may include channel state information including, for example, channel gain.
  • the terminal device grouping performed by the pre-processing unit 205 may include classifying the terminal devices (e.g., the terminal devices 110-1 to 110-J in FIGS. 1A and 1B) into packets according to channel state information.
  • the terminal devices are grouped into packets according to channel state information such that the channel gain difference between the terminal devices within the same packet is as large as possible or greater than a predetermined threshold.
  • the threshold value in the "channel gain difference is greater than the predetermined threshold" may be a predetermined specific value, or may be a certain degree of channel gain difference objectively embodied by an algorithm.
  • the algorithm of the packet objectively causes its packet to cause the channel gain difference existing in the packet to be greater than the channel gain difference caused by the random packet, the algorithm of the packet is considered to be such that the channel gain difference is greater than a predetermined threshold.
  • FIG. 3A illustrates one way in which terminal device grouping can be used.
  • the mode of the mode domain multiple access system in FIG. 3A is such that the channel gains of the terminal devices in the same packet are as close as possible, so that the terminal devices between different packets generally have larger channel gain differences, but the same grouping
  • the terminal devices within have a small difference in channel gain.
  • FIG. 3A six terminal devices having a larger channel gain close to the base station are classified into the same packet, and six terminal devices having a smaller channel gain from the base station are classified into another packet.
  • FIG. 3B illustrates an example manner of terminal device grouping in accordance with an embodiment of the present disclosure.
  • the channel gain difference of the terminal devices in the same packet is as large as possible, and the channel gain difference is as large as possible, that is, the channel gain of the terminal device in the same packet is as large as possible.
  • Diversity In order to make the channel gain difference of the terminal devices in the same packet as large as possible, the variance of the channel gain of the terminal devices in the packet may be required to be as large as possible. In one example, the variance of the channel gain of the terminal device within the packet may be greater than a predetermined threshold, that is, the variance may be as large as a certain degree. As shown in FIG.
  • the exemplary grouping manner of FIG. 3B makes the channel gain difference of the terminal devices in the same group larger (ie, the channel gain has a larger variance or diversity), and thus is preferred by the present disclosure.
  • Grouping method When the channel gain difference of the terminal device in the same group is large, detecting or decoding the data in the same group based on the serial detection algorithm can reduce the detection error, so that compared with the simple use of the parallel detection algorithm, Reduce the complexity of detection or decoding.
  • system resources are correspondingly allocated to individual packets after grouping of terminal devices, and in general the resources allocated to a single packet are more than the resource requirements of a single terminal device and less than the resource requirements of all terminal devices within the packet.
  • the above-mentioned terminal device grouping enables terminal devices of the same packet to multiplex the same group of resources, for example, by using mode domain multiple access (eg, SCMA) technology within the same packet, and causing different grouped terminal devices to use different resources, ie, different groups.
  • SCMA mode domain multiple access
  • the use of resources between them is mutually orthogonal.
  • SCMA mode domain multiple access
  • SCMA is a synchronous coding technique
  • the terminal device is required to keep the system synchronized. Therefore, in this case, the terminal devices that meet the synchronization condition can be classified into the same packet.
  • the terminal device information may include channel state information corresponding to the uplink and downlink respectively, for example, a channel gain corresponding to the uplink and downlink.
  • the terminal device grouping may be separately performed for the uplink and downlink according to the channel state information of the uplink and downlink, and the corresponding terminal device packet is respectively applied to the uplink and downlink data transmission.
  • the terminal device grouping can be performed only for the uplink or only the downlink, and the terminal device grouping result is applied. Both uplink data transmission and downlink data transmission, thereby mitigating the computational load associated with terminal device grouping.
  • a typical scenario for this situation is a time division duplex (TDD) communication system.
  • TDD time division duplex
  • FDD frequency division duplex
  • the uplink and downlink channels substantially satisfy reciprocity in the case where the uplink and downlink bands are sufficiently close.
  • the base station may perform channel estimation based on, for example, an uplink reference transmitted from each terminal device, thereby obtaining uplink channel state information of each terminal device; for downlink transmission, each terminal device may be based, for example, on The downlink reference transmitted by the base station performs channel estimation, thereby obtaining respective downlink channel state information and feeding it back to the base station.
  • classifying the terminal device into the packet comprises at least one of: 1) ordering the terminal device based on channel gain, sequentially assigning each terminal device to a different packet; 2) matching the terminal device to the channel gain based on the channel gain In a packet configuration template, where the packet configuration template specifies the number of terminal devices in the packet and the channel gain level of the terminal device.
  • Example operations of terminal device grouping in accordance with an embodiment of the present disclosure are described below in conjunction with FIGS. 4A and 4B.
  • FIG. 4A illustrates one example operation of a terminal device grouping in accordance with an embodiment of the present disclosure.
  • these terminal devices are first sorted based on channel gain increment or decrement (in this example, in descending order of channel gain) Sort). Then, the sorted terminal devices are sequentially classified or assigned to the respective packets. For example, in the first round of allocation, the terminal device 410_1 may be grouped into the packet 420_1, the terminal device 410_2 may be grouped into the packet 420_2, and so on, until the terminal device 410_G may be classified into the packet 420_G.
  • the G terminal devices starting from the terminal device 410_(G+1) may also be sequentially classified into the G packets.
  • the next round of allocation is then made until all terminal devices are grouped into packets. Taking the group 410_1 as an example, it can be understood that the terminal devices that are finally classified into the packet are 410_1, 410_(G+1), 410_(2G+1), and the like. In this way, terminal devices with similar channel gains are divided into different packets as much as possible, so that the channel gain difference between terminal devices within the same packet is as large as possible.
  • a pre-set packet configuration template may be stored in the electronic device 200, and the packet configuration template may perform the number of terminal devices that can be classified into the packet and the channel gain level of the corresponding terminal device. Provisions.
  • the process of grouping terminal devices into packets is actually matching a specified number of terminal devices conforming to the channel gain level into the packet configuration template according to the packet configuration template, thereby instantiating one or more terminal device packets.
  • FIG. 4B illustrates an example of a packet configuration template for a terminal device grouping according to an embodiment of the present disclosure. As shown in FIG.
  • the packet configuration template 1 specifies that the packet can have 8 terminal devices, wherein the channel gain of the two terminal devices is 12, the channel gain of the two terminal devices is 8, and the channel gain of the two terminal devices is 4. The channel gain of the remaining two terminal devices is 1.
  • the packet configuration template 2 specifies that the packet can have six terminal devices, of which three terminal devices have a channel gain of 10 and the remaining three terminal devices have a channel gain of two.
  • the horizontal terminal device is instantiated into 2 packets according to the packet configuration template 2, and the remaining 8 terminal devices can be classified into separate packets due to channel gain mismatch.
  • the remaining eight terminal devices described above may also be instantiated as packets according to additional packet configuration templates.
  • the larger the number of terminal devices in a packet the greater the number of resources of the packet, the greater the detection complexity, and vice versa; the greater the channel gain difference of the terminal device in the packet, the more the detection performance is. Ok, and vice versa. Therefore, when the packet detection template is configured in advance, different detection requirements need to be considered, and the packet detection template that meets the detection requirement can be configured by the number of terminal devices in the packet and the channel gain difference.
  • the above channel gain value in the packet configuration template may be an absolute value of the channel gain or a normalized value.
  • the channel gain of the terminal device may not be required to be exactly the same as the channel gain specified in the packet configuration template, but the two are matched within a certain tolerance. can.
  • each channel gain in the packet configuration template can be a range of channel gains, and the channel gains falling within the range can be matched to corresponding locations of the packet configuration template.
  • the channel gain of the 6 terminal devices actually matching the template may be [10.9, 9.8, 9.7, 2.5, 2.0, 1.9].
  • the channel gain difference between the terminal devices within the same packet may be as large as possible or at least greater than a predetermined threshold.
  • a predetermined threshold For example, in classifying a terminal device into a grouping process, one initial terminal device may be first allocated for each packet, and then a terminal device having the largest difference in channel gain from the initial terminal device may be added.
  • the difference in channel gain between the two terminal devices can be defined as d i,j as follows:
  • h i represents the channel gain of the ith terminal device
  • d i,j represents the channel gain difference between the i th and j th terminal devices.
  • one terminal device to be added is selected one by one for each packet, so that the channel gain difference between the terminal device to be added and the initial terminal device that is divided into the packet is the largest, that is, arg max i d i,g .
  • the selection and addition process is repeated, that is, each time the terminal device having the largest channel gain difference from the initial terminal device of the divided packet is selected and added until all the terminal devices are Be classified into groups.
  • the electronic device 200 can also be configured to determine an initial data detection scheme.
  • the electronic device 200 can also be configured to determine the data detection scheme in any suitable manner.
  • determining the data detection scheme includes ranking the terminal devices within the packet such that the at least one level includes two or more terminal devices. According to the grading result, different levels of terminal devices are detected by a serial detection algorithm, and two or more terminal devices of the same level are detected by a parallel detection algorithm.
  • classifying the terminal devices in the packet includes classifying the terminal devices into corresponding levels according to the channel gain level, and detecting the data flow of the terminal devices in the level corresponding to the higher channel gains is higher. . For example, a terminal device with a higher channel gain is classified into a higher detection order, a terminal device having a medium channel gain is classified into a level in which the detection order is centered, and a terminal device having a lower channel gain is classified as detection. The order is later.
  • the serial detection algorithm can serially detect different levels of data stream formation of the terminal device having a large difference in channel gain
  • the parallel detection algorithm can detect the data stream of the terminal device with similar channel gains in parallel.
  • a feasible example can be as follows: The terminal devices within the packet are ranked such that one or more levels may include two or more terminal devices, and different levels of terminal devices may be detected by a serial detection algorithm, two or more terminals of the same level The device can be detected by a parallel detection algorithm. In this way, a data detection scheme based on the serial detection algorithm is obtained, which detects the entire level in the terminal device group as a serial detection target, and detects each terminal device in a single level as a parallel detection target.
  • classifying the terminal device according to the channel gain level to the corresponding level may make the serial detection algorithm have lower detection.
  • the error so that the detection algorithm based on the serial detection algorithm (including the combination of the serial detection algorithm and the parallel detection algorithm) can simultaneously take both complexity and detection error into consideration.
  • the above data detection scheme can be applied to both uplink data transmission and downlink data transmission.
  • the data detection scheme can be performed by the base station; for downlink data transmission, the data detection scheme can be performed by each terminal device.
  • each stage of detection in a data detection scheme based on a serial detection algorithm may be performed by a base station.
  • the base station may receive a signal multiplexed by a mode domain multiple access technology (eg, SCMA) from each terminal device in a specific packet as an input, and detect by a parallel detection algorithm (eg, MPA).
  • SCMA mode domain multiple access technology
  • MPA parallel detection algorithm
  • Signal from the first level of terminal equipment in the group In the first level of detection, signals from terminal devices of subsequent levels (ie, second level, third level, etc.) are treated as interference or noise, while data streams of the first level of terminal devices are detected in parallel.
  • a second level detection may be performed, in which a portion corresponding to the signal of the terminal device of the first level is subtracted from the received signal as an input of the second level detection, and the second detection function is detected by the parallel detection algorithm The signal of the second level terminal device.
  • the signals of the terminal devices from the subsequent levels ie, the third level, the fourth level, etc.
  • the detection of the third level, the fourth level, and the like is similarly performed until the detection of all the levels is completed to detect signals from the terminal devices of each level in the group.
  • the input of the first-level detection may be the received signal, but since the second-level detection, the portion corresponding to the signal of the terminal device of the previous level needs to be subtracted from the received signal as the input of each level of detection.
  • the terminal device with a large channel gain is classified into the first level, and even if there is interference at a subsequent level, the first level detection can be completed at a higher correct rate, thereby avoiding error conduction to subsequent level detection. This is done step by step, which improves the overall decoding rate.
  • each level of the terminal device can perform the detection based on the serial detection only until the detection corresponding to its level.
  • the first level terminal device may perform only the first level detection, wherein the terminal device may receive, as input, a signal multiplexed by the mode domain multiple access technology (eg, SCMA) transmitted from the base station to each terminal device in the specific packet. And detecting the signal sent to the terminal device of the first level by a parallel detection algorithm (for example, MPA).
  • a parallel detection algorithm for example, MPA
  • the second level terminal device needs to perform the first level and the second level detection, wherein the first level detection operation is similar to the first level terminal device.
  • the terminal device of the second level may subtract the portion corresponding to the signal of the terminal device of the first level from the received signal as the input of the second level detection, and detect by the parallel detection algorithm.
  • the third level terminal device needs to perform the first to third level detection
  • the fourth level terminal device needs to perform the first to fourth level detection, and so on
  • the last level terminal device needs to perform all levels of detection, It is only possible to detect signals that are sent to the corresponding level of terminal equipment.
  • the input of the first-level detection may be the received signal, but since the second-level detection, the portion corresponding to the signal of the terminal device of the previous level needs to be subtracted from the received signal as the input of each level of detection.
  • each terminal device may be classified into several levels according to the channel gain level. Since the serial detection algorithm is characterized by detecting a terminal device that is relatively easy to detect (for example, a channel gain is high and a received signal and noise is relatively high), the data stream of the terminal device in a level corresponding to a higher channel gain is performed. The detection order is higher. In one example, channel gains with differences within a certain threshold range can be divided into one level.
  • a serial detection algorithm eg, SIC
  • the channel gain [10.9, 9.8, 9.7] is 10.9 due to the maximum difference.
  • the first three terminal devices can be classified into the first level, and the last three terminal devices can be classified into the second level.
  • FIGS. 5A through 5D are examples of detecting uplink data transmission
  • FIG. 5D is for downlink data transmission.
  • Example of detection Some embodiments of the present disclosure may relate to a serial detection receiver that may be configured to perform detection processing of a data detection scheme.
  • the serial detection receiver can be configured to include at least two levels of parallel detection units for hierarchical decoding of the received mode domain multiple access signals, wherein each stage of parallel detection units supports parallel multiple Terminal device data detection, the decoded output of the parallel detection unit at the previous level is used as the known interference of the post-level parallel detection unit to be eliminated from the received signal, and the resource orthogonality of the target data stream of the parallel detection unit of the previous level Better than the resource orthogonality of the target data stream of the parallel detection unit at the latter level.
  • mode domain multiple access includes SCMA or PDMA.
  • An electronic device for a wireless communication system according to the present disclosure may include the above-described serial detection receiver.
  • FIG. 5A illustrates detection processing of an example data detection scheme based on a serial detection algorithm, in accordance with an embodiment of the present disclosure.
  • the terminal devices 1 and 2 are divided into the first level, and the terminal devices 3 and 4 are divided into the second level.
  • the terminal devices 5 and 6 are divided into a third level.
  • the wireless transmission is received at the receiving end, and the received signal can be expressed as Where hj represents the channel matrix of the terminal device j, xj represents data for the terminal device j, n represents noise, and diag represents a diagonal matrix constructed with vectors in parentheses.
  • the data detection scheme based on the serial detection algorithm can detect the data for each terminal device step by step.
  • the first is the first level detection (for example, can be performed by the first stage parallel detection unit of the serial detection receiver), and for the input signal y, the first level of the terminal device is taken as the serial detection object, and decoded by the parallel detection algorithm.
  • the second level of the terminal device is taken as a serial detection object, and the data x3, x4 for the terminal devices 3 and 4 are decoded by the parallel detection algorithm; for the third level detection (for example, the third level can be detected in parallel)
  • the unit performs), subtracting the portion corresponding to the decoded data x3, x4 from the input signal of the previous stage as an input, and using the third level of the terminal device as a serial detection object, and decoding by the parallel detection algorithm for The data x5, x6 of the terminal devices 5 and 6.
  • the base station can decode the data for the terminal devices 1 to 6 by the above operation.
  • the serial detection algorithm that may be used may be, for example, a sequential interference cancellation (SIC) algorithm
  • the parallel detection algorithm that may be used may be, for example, an MPA algorithm.
  • the detection processing can still be performed using the above-described serial detection receiver, and the serial detection receiver can be implemented as an SIC receiver, and the parallel detection unit can be implemented as an MPA unit.
  • FIG. 5B illustrates detection processing of an SIC-based example data detection scheme in accordance with an embodiment of the present disclosure. This example can be similar to Figure 5A except that a specific algorithm is defined.
  • This data detection scheme can be used, for example, for an SCMA system. As shown in FIG. 5B, there are still six terminal devices 1 to 6 divided into three levels.
  • the data detection scheme based on the serial detection algorithm SIC can detect the data for each terminal device step by step.
  • the first level detection (for example, can be performed by the first stage MPA unit of the SIC receiver).
  • the first level of the terminal device is used as the SIC detection object, and the terminal device 1 and 2 are decoded by the MPA.
  • the second level detection (for example, can be performed by the second stage MPA unit), subtracting the portion corresponding to the decoded data x1, x2 from the input signal y as an input, and detecting the second level of the terminal device as the SIC
  • the data x3, x4 for the terminal devices 3 and 4 are decoded by the MPA, wherein the MPA decoding can adopt the factor map F2 corresponding to the terminal devices 3 and 4 (ie, the corresponding to the terminal devices 3 and 4 are extracted from the system factor map) Columns are formed as shown on the right side of FIG.
  • the data x5, x6 for the terminal devices 5 and 6 are decoded by the MPA, wherein the MPA decoding can adopt the factor map F3 corresponding to the terminal devices 5 and 6 (ie, the terminal device is extracted from the system factor map).
  • the columns corresponding to 5 and 6 are formed as shown on the right side of Fig. 5B.
  • the detection complexity at each resource factor node is Proportionate. As shown in the factor graphs F1 to F3 in FIG. 5B, classifying the terminal devices within the packet actually reduces the number of terminal devices d f that may overlap on a single resource factor node in each MPA detection, and thus can be reduced. The complexity of each MPA test.
  • FIG. 5C illustrates detection processing of another example data detection scheme based on SIC, in accordance with an embodiment of the present disclosure.
  • the example of FIG. 5C is similar to FIG. 5B except that the terminal devices 1 to 6 in the group are divided into two levels. As shown in FIG. 5C, the terminal devices 1 and 2 are divided into first levels, and the terminal devices 3 to 6 are divided into second levels.
  • the data for the six terminal devices is multiplexed by the SCMA and then received at the receiving end by wireless transmission, denoted as y.
  • the data detection scheme based on the serial detection algorithm SIC can detect the data for each terminal device step by step.
  • the first level is the first level detection.
  • the first level of the terminal device is used as the SIC detection object, and the data x1 and x2 for the terminal devices 1 and 2 are decoded by the MPA, wherein the MPA decoding can be performed with the terminal device 1
  • the factor map corresponding to 2 is shown on the right side of FIG. 5C (ie, the column corresponding to the terminal devices 1 and 2 is taken out from the system factor graph); then the second level detection is subtracted from the input signal y and decoded.
  • the corresponding portions of the data x1 and x2 are taken as inputs, and the second level of the terminal device is used as the SIC detection target, and the data x3, x4, x5 and x6 for the terminal devices 3 to 6 are decoded by the MPA, wherein the MPA decoding can be adopted.
  • a factor map corresponding to the terminal devices 3 to 6 i.e., the columns corresponding to the terminal devices 3 to 6 are taken out from the system factor map). Similar to the case of FIG. 5B, the detection process of FIG. 5C can be performed using the above-described SIC receiver, except that the detection process can be completed only by the two-stage MPA unit, and the detection process of FIG. 5B is completed by the three-stage MPA unit. .
  • FIG. 5A to FIG. 5C specifically illustrate the application example of the present disclosure by taking the uplink data transmission as an example.
  • the data detection process is performed at the base station and each terminal device, respectively, and the other processes are similar except for the channels through which the data is experienced.
  • the downlink data detection of the present disclosure will be briefly described below by taking FIG. 5D as an example.
  • FIG. 5D for the six terminal devices 1 to 6 in a specific packet in the mode domain access system, it is assumed that the terminal devices 1 and 2 are divided into the first level, and the terminal devices 3 and 4 are divided into the second level.
  • the terminal devices 5 and 6 are divided into a third level.
  • the downlink data used for the six terminal devices is multiplexed by the mode domain multiple access method, and then received at the receiving end i through wireless transmission, and the received signal can be expressed as Where hi represents the channel matrix of the terminal device i, xj represents data for the terminal device j, n represents noise, and diag represents a diagonal matrix constructed with vectors in parentheses.
  • the data detection scheme based on the serial detection algorithm can detect the data for each terminal device step by step.
  • the first is the first level detection (for example, it can be performed by the first stage parallel detection unit of the serial detection receiver).
  • the first level of the terminal device is taken as the serial detection object, and decoded by the parallel detection algorithm.
  • the second level of the terminal device is taken as a serial detection object, and the data x3, x4 for the terminal devices 3 and 4 are decoded by the parallel detection algorithm; for the third level detection (for example, the third level can be detected in parallel)
  • the unit performs), subtracting the portion corresponding to the decoded data x3, x4 from the input signal of the previous stage as an input, and using the third level of the terminal device as a serial detection object, and decoding by the parallel detection algorithm for The data x5, x6 of the terminal devices 5 and 6.
  • the terminal devices 1 and 2 can perform only the first level detection, the terminal devices 3 and 4 need to perform the first level and the second level detection, and the terminal devices 5 and 6 need to perform the first level to the third level.
  • electronic device 200 may also be configured to perform initial resource allocation.
  • electronic device 200 eg, via pre-processing unit 205
  • pre-processing unit 205 may also be configured to perform initial resource allocation.
  • An example of intra-packet resource allocation in accordance with an embodiment of the present disclosure is described below in conjunction with FIG. In addition to this example, those skilled in the art can also perform initial resource allocation in any suitable manner.
  • the determined intra-packet resource allocation may minimize resource overlap between data streams of the same level of terminal devices.
  • FIG. 6 illustrates an example of intra-packet resource allocation in accordance with an embodiment of the present disclosure, taking the SCMA system as an example.
  • the resource allocation in the SCMA system can be represented by a factor graph matrix F, wherein each row in the factor graph matrix F corresponds to one resource node, and each column corresponds to one terminal device, and the i-th row and the j-th column element is 1 indicates that the terminal device j occupies resources. i, the element of the i-th row and the j-th column is 0, indicating that the terminal device j does not occupy the resource i.
  • the intra-packet resource allocation indicated by F causes the data streams of different terminal devices to occupy different resources in each level, that is, the resource overlap is as small as possible (this is also the minimum).
  • the terminal devices 3 to 6 are divided into one level, and the resource allocation constraint of each terminal device (that is, the number of required resources is 2), at this time, the intra-packet resource allocation represented by F cannot make the terminal device.
  • the data streams from 3 to 6 occupy different resources, but can make the resource overlap as small as possible.
  • the resource overlap between the data streams of the terminal devices of the same level is as small as possible, which actually reduces the number of terminal devices d f overlapping on a single resource factor node, and thus can reduce the detection complexity of each MPA.
  • the resource overlap between the data streams of the top-end terminal devices can be preferentially minimized, so that the detection performance of the terminal device with the highest detection order is better, and the string avoidance is avoided. Error propagation problems in line detection.
  • the equipment performing the data detection scheme may be different.
  • a data detection scheme can be performed by the base station side.
  • a data detection scheme can be performed by the terminal device side. Since the base station can have more processing resources, the decoding capability is strong, and various complexity detections can be performed.
  • a terminal device may generally have limited processing resources and correspondingly weak decoding capabilities.
  • the decoding capabilities of different terminal devices may also differ, so that only a certain detection complexity can be supported. For example, some terminal devices may support parallel detection algorithms (such as MPA) and serial detection algorithms (such as SIC), while other terminal devices may only support serial detection algorithms (such as SIC).
  • the electronic device 200 when performing the terminal device grouping and determining the data detection scheme, the electronic device 200 (for example, the pre-processing unit 205) should consider the decoding capability of each terminal device, perform appropriate terminal device grouping, and within the packet. Rating and resource allocation.
  • ranking the terminal devices within the packet may include assigning to the particular terminal The device allocates a higher downlink transmission power and separates the specific terminal device into a level that is as close as possible to the detection order.
  • grading a terminal device within a packet may include classifying the terminal device into a corresponding level according to a channel gain level, and generally, a terminal device within a level corresponding to a higher channel gain.
  • the data flow is detected in the same order.
  • terminal devices that only support serial detection algorithms eg, SIC
  • Parallel detection is performed, but only by serial detection algorithms. Since the sequential detection processing is relatively simple in serial detection, in order to further reduce the processing load of the terminal device supporting only the serial detection algorithm (for example, SIC), it can be individually classified into the detection order as high as possible.
  • the received signal strength of the serial detection requirement level is high, it is necessary to allocate a higher downlink transmission power to the terminal device to improve the received signal strength of the terminal device.
  • grouping the terminal device into the packet further includes supporting only serial detection.
  • the terminal devices of the algorithm are classified into the same packet, and the terminal devices within the packet are detected only by the serial detection algorithm.
  • the decoding capability of the terminal device may be defined according to the processing capability of the terminal device. The stronger the processing capability, the higher the corresponding decoding capability; and vice versa. In some cases, the decoding capability of the terminal device may also be modified according to the decoding delay requirement of the service. The higher the decoding delay requirement, the lower the decoding capability, and vice versa.
  • the decoding capabilities of the terminal device can have different representations. The following are representations of two examples, and other suitable representations can be devised by those skilled in the art:
  • the decoding capability can be divided into five levels, represented by decoding capability indicators 1 to 5 (or A to E), 5 (or E) indicating the highest decoding capability, and 1 (or A) indicating the lowest decoding capability.
  • the decoding capability indicator 1 can be used to indicate that the terminal device can support a parallel detection algorithm (eg, MPA, in which case the terminal device can also support a serial detection algorithm such as SIC), and the decoding capability indicator 0 indicates that the terminal device only supports the string. Line detection algorithm (such as SIC).
  • the parameter can be a computing resource in the terminal device for decoding, for example in GHz.
  • the terminal device may initially report its decoding capability to the base station (eg, in the form of RRC layer signaling, etc.) in order for the electronic device 200 to acquire and perform appropriate terminal device grouping, grading within the packet, or Resource allocation.
  • the base station eg, in the form of RRC layer signaling, etc.
  • the electronic device 200 may be configured to acquire detection information of the downlink data transmission from the terminal device, thereby performing terminal device re-grouping, intra-packetization At least one of resource redistribution and data detection scheme updates.
  • the specific manner of grouping, determining data detection schemes, and resource allocation is not limited to these embodiments.
  • the data detection scheme can be determined in a conventional manner when pre-processing (for example, using a parallel detection algorithm containing only one level in the group), resource allocation can be performed randomly or in a conventional manner, and the like.
  • the pre-processing unit 205 needs to notify the terminal devices of the necessary corresponding information after performing the terminal device grouping and the initial resource allocation and after determining the initial data detection scheme. For example, for uplink data transmission from the terminal device to the base station, the terminal device may be notified of the corresponding resource allocation result after the resource allocation is performed, and the terminal device may perform uplink data transmission according to the resource allocation result.
  • the terminal device may be notified of the corresponding terminal device grouping result and resource allocation after performing at least one of the terminal device grouping, the resource allocation, and the determining data detection scheme.
  • the terminal device may receive downlink data according to the resource allocation result, and perform detection according to the data detection scheme according to information of other terminal devices in the group. It should be noted that the principles and operations of the terminal device grouping, the determining data detection scheme, and the resource allocation, which are described in detail above with respect to the pre-processing unit 205, are equally applicable to the terminal device re-grouping, the data detection scheme update, and the resource weighting performed by the updating unit 210. distribution.
  • the update unit 210 may be configured, for example, to perform at least one of terminal device re-grouping, intra-packet resource reallocation, and data detection scheme update based on the detection information of the data transmission.
  • the detection information may include, for example, detection error information, detection complexity information, and the like.
  • Wireless communication systems generally require data decoding to have a bit error rate or a retransmission rate (statistical information on the number of retransmissions transmitted by HARQ).
  • the detection error information may correspondingly include a bit error rate level or a retransmission rate when detected by the data detection scheme.
  • the detection error information may not satisfy the error rate or retransmission rate requirement, it may be necessary to update the terminal device grouping, the intra-group resource allocation, and/or the data detection scheme.
  • the detection complexity is above the detection complexity threshold, it may also be necessary to update the terminal device grouping, intra-group resource allocation, and/or data detection scheme.
  • the detection complexity information may include a detection complexity level when detected by a data detection scheme.
  • the level of detection complexity can be represented by the time it takes to decode the data (also known as the decoding delay), which is too large and can affect the spectral efficiency of the wireless communication system.
  • the detection information includes detection information for a specific terminal device (for example, detection error information of the terminal device), detection information for a specific packet. (e.g., average detection error information of the terminal device within the packet) and detection information for the entire system (e.g., average detection error information of the terminal device throughout the system).
  • the operations of the terminal device re-grouping, the data detection scheme update, and the resource reallocation performed by the update unit 210 may be performed, for example, with the pre-processing unit 205 described in detail above, except that the timing or condition of execution is different.
  • the principles and operations of grouping terminal devices, determining data detection schemes, and resource allocation are basically the same, and the specific execution process is not repeated here.
  • the pre-processing unit 205 initially performs the corresponding operation before the data transmission, and the update unit 210 performs the corresponding update operation combination in the data transmission process.
  • the update unit 210 may perform a combination of update operations based on the detection information of the data transmission, and the update operation combination may include at least one of terminal device re-grouping, intra-packet resource reallocation, and data detection scheme update.
  • An example update operation combination of the update unit 210 according to an embodiment of the present disclosure is described below in conjunction with FIG.
  • the update operation combination a may include only the intra-group resource reallocation operation. For example, in the case where the initial resource allocation in the group does not minimize the resource overlap between the data streams of the terminal devices of the same level in the group, the update operation combination a can be performed. Through the intra-group resource reallocation operation, the resource overlap between the data streams of the terminal devices of the same level in the group can be reduced, and/or the data flow and the detection sequence of the terminal devices in the serial detection detection order can be made. The resource overlap of other data streams thereafter is reduced.
  • the update operation combination a may not involve data detection scheme update and terminal device re-grouping, and only adjust resource allocation between data streams of terminal devices within the packet.
  • FIG 9 illustrates an example intra-group resource allocation situation before and after performing an update operation combination a, wherein the update operation combination a adjusts a resource allocation of a data stream of the terminal device 2 in the first level to be subtracted, according to an embodiment of the present disclosure.
  • the resource overlap between the data stream of the terminal device 1 of the first level is small.
  • the update operation combination b may include a data detection scheme update, and may also include intra-group resource reallocation as the case may be.
  • the update operation combination b can adjust the detection order of the data flow of each terminal device in the packet in the serial detection algorithm, that is, the detection level, by the data detection scheme update (for example, thereby causing each terminal device to return according to the channel gain level). Enter the appropriate level) and/or adjust the number of levels of serial detection in the serial detection algorithm. Then, the update operation combination b can also perform intra-group resource reallocation, so that resource overlap between data streams of the same level of terminal devices in the group is reduced, and in some cases, detection in the serial detection algorithm can also be performed.
  • the data flow of the terminal device in the top order is reduced with the resource overlap of the other data streams in the subsequent detection sequence.
  • An example of adjusting the number of levels of serial detection can be seen in the example detection operations of FIGS. 5B and 5C, and reducing the number of levels of detection levels within a packet (eg, adjusting the detection operation from FIG. 5B to FIG. 5C) can improve detection performance, increase points
  • the number of levels of the detection level within the group eg, adjusting the detection operation from FIG. 5C to FIG. 5D) can reduce the detection complexity.
  • the update operation combination c may include terminal device re-grouping, data detection scheme update, and intra-group resource reallocation.
  • the update operation combination c can be re-grouped by the terminal devices in the system to increase the channel gain difference of the terminal devices within the packet. For example, in the case where the channel state (e.g., channel gain) of each terminal device changes over time, re-grouping may be required. Then, the update operation combination c can adjust the detection order of the data streams of each terminal device in the packet in the serial detection algorithm by the data detection scheme update, and/or adjust the number of levels of serial detection in the serial detection algorithm.
  • the update operation combination c can also perform intra-group resource reallocation to reduce resource overlap between data streams of the same level of terminal devices in the group, and in some cases, can also be detected in the serial detection algorithm.
  • the data flow of the terminal device in the top order is reduced with the resource overlap of the other data streams in the subsequent detection sequence.
  • the update operation combination a has the lowest complexity, which can perform only intra-group resource reallocation without terminal device re-grouping and data detection scheme update.
  • the base station may notify the terminal device that has been reallocated the resource of the updated mapping matrix V of the terminal device; for the downlink data transmission, the base station may The terminal device notifies the corresponding column in the update factor graph matrix F.
  • the complexity of updating the operation combination b is second, which requires re-rating the terminal device in the existing packet, so that the level of at least one terminal device is adjusted, and the resource allocation process is also required after the grading process.
  • the base station as the data transmission receiver needs to update the detection order of the terminal devices in the packet according to the re-sorting condition, and notify the terminal device to which the resource is reassigned
  • the terminal device re-grouping at least causes the terminal devices in the two packets to undergo packet change, and it is even possible to perform grouping operations such as those described with reference to FIG. 4A or FIG. 4B for all terminal devices in the system, and After the grouping operation, the intra-group re-segmentation and the intra-group resource re-allocation process are also required for the adjusted group, so the update operation combination c has the highest complexity.
  • the base station for the uplink data transmission, needs to update the packet, the hierarchical situation, and notify the terminal device that has been reallocated the resource of the updated mapping matrix V of the terminal device.
  • the base station For downlink data transmission, the base station notifies each terminal device of the updated packet and classification, and causes each terminal device to update the factor graph matrix F.
  • the intra-group resource reallocation operation of the dashed box in the update operation b of FIG. 7 may not be performed.
  • the intra-group resource reallocation may not be required.
  • the update operation combination including only the data detection scheme update can be recorded as the update operation combination b'.
  • the update operation combination b' for the uplink data transmission, only the detection order of the terminal device in the packet is updated according to the re-segmentation situation at the base station; for the downlink data transmission, only the base station is involved to each terminal device. Notify its updated serial detection level.
  • the complexity of updating the operation combination b' may be lower than the update operation combination a.
  • the update operation combination ac in general, it should be understood that the update operation combination b' also appears, its status is equivalent to other update operation combinations, and due to its low complexity, in some In this case, it is possible to have a higher execution priority (for example, in FIG. 8B below, the combination b' may be performed in preference to the combination a in the case where the detection performance is satisfied).
  • the combination of update operations with appropriate complexity can be controlled in different ways.
  • the so-called "complexity" of the update operation combination means that the combination of the update operations can meet the detection performance requirements of the wireless communication system.
  • the priority of the update operation combination a-c can be set to be successively decremented. That is, the intra-group resource reallocation is performed with the highest priority, and the data detection scheme update is performed first, and the terminal device re-grouping is performed with the highest priority. Accordingly, a high priority update operation combination is first performed, and the next priority update operation combination is performed only when the higher priority update operation combination cannot satisfy the detection performance requirement.
  • mode 1 operation c is not allowed to be performed, only operations a and b can be performed; in mode 2, operation c is allowed to be performed, and operations a-c can be performed.
  • Mode 1 and Mode 2 can be selected, and Mode 2 can be enabled only if Mode 1 fails to meet the detection performance requirements.
  • At least one of terminal device re-grouping, resource reallocation, and data detection scheme update based on the detection information may be periodic.
  • at least one of terminal device re-grouping, resource reallocation, and data detection scheme update based on the detection information may be event-triggered, and the triggering event may include detection performance reflected by the detection information (eg, error code) Rate, retransmission rate, etc.) do not meet performance requirements.
  • the triggering event can include the detection error not satisfying the bit error rate or the retransmission rate requirement for a first predetermined duration and/or the detection complexity being above the detection complexity threshold for a second predetermined duration.
  • FIG. 8A and 8B illustrate a flow diagram of an example method of performing an update operation combination on a periodic basis or according to a triggering event, in accordance with an embodiment of the disclosure.
  • the wireless channel gain of each terminal device varies with time, it may be necessary to perform an appropriate combination of update operations in a certain period.
  • a corresponding execution cycle may be preset for different combinations of update operations.
  • the period T1 may be set in advance for the update operation combination b
  • the period T2 may be set in advance for the update operation combination c, where T1 ⁇ T2, that is, the execution frequency of the update operation combination c is smaller than the execution frequency of the update operation combination b.
  • FIG. 8A illustrates a flow diagram of an example method 800 of performing an update operation combination on a periodic basis in accordance with an embodiment of the present disclosure.
  • the wireless communication system operates normally.
  • time T1 elapses with respect to the start of operation.
  • the detection information can be obtained (including detection information for a specific terminal device, detection information for a specific packet, and detection information for the entire system)
  • an appropriate combination of update operations can also be performed according to the trigger event.
  • the detection information may include detection error information
  • the triggering event may be, for example, that the detection performance determined based on the detection error information does not satisfy the error rate or the retransmission rate requirement.
  • the triggering event may be that the detection performance does not satisfy the bit error rate or the retransmission rate requirement has reached a predetermined time.
  • FIG. 8B illustrates a flow diagram of an example method 850 of performing an update operation combination in accordance with a triggering event, in accordance with an embodiment of the present disclosure. It should be noted that the trigger condition in FIG.
  • the variable B is initialized to 0 at the beginning, wherein the variable B is used for counting, which indicates the number of times the update operation combination b is executed.
  • the update operation combination b is set in advance for a consecutive number of times, and after the variable B reaches the predetermined number of times, the adjustment packet, resource allocation, and data detection scheme are performed by performing a more complicated update operation combination c.
  • the wireless communication system operates normally.
  • the detection performance (of a particular packet or the entire system) does not satisfy the bit error rate or the retransmission rate requirement has reached a predetermined time.
  • a determination is made as to whether there is a resource adjustment space within the packet. The case where the packet has a resource adjustment space means that there is a large resource overlap between the data streams of the terminal devices of the same hierarchy within the packet, for example, and the resource overlap can be reduced by adjustment. If the determination in block 865 is yes, then go to block 870 to perform an update operation combination a, and return to block 855 to continue the system operation; if not, go to block 875 to perform an update operation combination b and add B to the value 1, after Reaching block 880, the system continues to run.
  • block 880 and block 885 and the operations of block 855 and block 860 are similar. After operation of block 880 and block 885, it is determined at block 890 whether variable B has been reached a predetermined number of times. If no, return to block 875 to repeat the operations of blocks 875 through 890. If so, then go to block 895 to perform an update operation combination c and set B to zero. Returning to block 880, the system continues to run.
  • For uplink transmission data detection is performed by the base station, and thus the electronic device 200 (or its detection information collecting unit 215) can more easily obtain detection information.
  • For downlink transmission data detection is performed by each terminal device and detection information is reported to the base station, and thus the acquisition of the detection information by the electronic device 200 (or its detection information collecting unit 215) may be relatively complicated. Therefore, the method as shown in FIG. 8B may be more suitable for the scenario of uplink transmission. However, this method is equally applicable to scenarios of downlink transmission.
  • detecting information may include detecting complexity information.
  • the data detection scheme update may include increasing the number of terminal device levels within the terminal device group if the detection complexity is above the detection complexity threshold.
  • the detection information may include detection complexity information, which may be, for example, a detection complexity higher than a predetermined threshold.
  • detection complexity information may be, for example, a detection complexity higher than a predetermined threshold.
  • the number of levels of serial detection within the packet can be increased, for example, by incorporating this operation into the update operation combination b.
  • the triggering condition of the update operation may also be specific to the detection performance of the specific terminal device.
  • the trigger event may be that the detection performance of the specific terminal device does not satisfy the error rate or the retransmission rate requirement has reached a preset time.
  • An update operation may also be performed for the specific terminal device according to an embodiment of the present disclosure.
  • the resource allocation within a group can be adjusted first by updating the operation combination a.
  • the intra-group grading can be adjusted by updating the operation combination b. For example, if the detection performance of the terminal device 3 in FIG. 5B does not satisfy the requirement, the detection operation can be adjusted to the grading in FIG. 5C to reduce the number of levels. Detection performance.
  • the terminal device re-grouping may be performed again to increase the channel gain difference between the terminal devices in the group where the specific terminal device is located, for example, the channel between the specific terminal device and other terminal devices in the group may be specifically increased.
  • Gain difference Considering the situation of 12 terminal devices in the system, the channel gain is sorted from high to low [8,8,8,8,4,4,4,2,2,1,1], and is initially divided into two groups. Both are [8, 8, 4, 4, 2, 1] to satisfy the channel gain as much as possible. Assuming that the detection performance of a terminal device with a channel gain of 8 in one of the packets does not meet the error rate requirement, the packet of the terminal device needs to be adjusted to increase the channel gain difference between the terminal device and other terminal devices in the packet. After adjustment, the terminal device whose previous detection performance does not meet the bit error rate requirement is [8, 8, 2, 2, 1, 1], and the other group is [8, 8, 4, 4, 4, 4].
  • performing the update operation may include performing at least one of the following : performing terminal device regrouping to increase channel gain difference of the terminal device in the packet; performing data detection scheme update to adjust the detection sequence of the data stream of each terminal device in the packet in the serial detection algorithm; performing data detection The scheme is updated to adjust the number of levels of serial detection in the serial detection algorithm; the intra-packet resource redistribution is performed, so that the serial detection algorithm detects the data flow of the terminal device with the highest order and the other data after the detection sequence The resource overlap of the streams is reduced; and intra-packet resource re-allocation is performed such that resource overlap between data streams of the same level of terminal devices within the same packet is reduced.
  • the detection information may include detection error information
  • the data detection scheme update may include reducing the number of levels within the packet if the system average detection error does not satisfy the average error rate requirement.
  • the electronic device 200 may notify some terminal devices of the operation results for use by the terminal device. For uplink data transmission from the terminal device to the base station, after performing resource allocation and resource reallocation, the electronic device 200 may notify the terminal device of the corresponding resource allocation result.
  • the electronic device 200 may notify the terminal device of the corresponding At least one of a terminal device grouping or regrouping result, a resource allocation or redistribution result, and a determined or updated data detection scheme.
  • the electronic device 200 may be configured to acquire detection information of the downlink data transmission from the terminal device for terminal device re-grouping, intra-packet resource reallocation, and data detection. At least one of the program updates.
  • electronic device 1000 may be used for downlink data transmission of a mode domain multiple access system (in this case, electronic device 1000 may also be provided with an uplink data transmission function). As shown in FIG. 10, in one embodiment, the electronic device 1000 can include an acquisition unit 1005. The operation or function implemented by the electronic device 1000 and its unit will be described below.
  • the obtaining unit 1005 may be configured to obtain a terminal device grouping result, the terminal device grouping result being determined for data transmission based on the terminal device information.
  • the multiple data streams of the terminal devices in the same group are multiplexed by the mode domain multiple access.
  • the obtaining unit 1005 may be further configured to obtain at least one of a terminal device regrouping result, a resource reallocation result, and an updated data detecting scheme, the terminal device regrouping result, a resource reallocation result, and an updated data detecting scheme At least one of the items is determined based on the detection information of the data transmission.
  • the data detection scheme is used by the electronic device to decode the received received data based on a serial detection algorithm.
  • At least one of the foregoing terminal device grouping result and the terminal device re-grouping result, the resource re-allocation result, and the updated data detecting solution may be determined by the electronic device 200 according to the above details. Generated by the described embodiment. In one example, acquisition unit 1005 can obtain these results from a base station.
  • the acquisition unit 1005 can be further configured to obtain an initial data detection scheme from the base station.
  • the base station determines that the data detection scheme includes classifying the terminal devices within the packet such that the at least one level includes two or more terminal devices. Among them, different levels of terminal devices are detected by a serial detection algorithm, and two or more terminal devices of the same level are detected by a parallel detection algorithm.
  • the obtaining unit 1005 may be further configured to obtain an initial intra-packet resource allocation result from the base station, the resource allocation result such that resource overlap between data streams of the same level of terminal devices is as small as possible.
  • the electronic device 1000 may further include a reporting unit 1015.
  • the reporting unit 1015 may be configured to report detection information to the base station for at least one of terminal device re-grouping, intra-packet resource reallocation, and data detection scheme update by the base station.
  • the detection information may include detection error information (bit error rate or retransmission rate) and detection complexity information.
  • the electronic device 1000 may determine the detection information by the following exemplary manner.
  • the base station can transmit a dedicated reference signal or pilot or any known sequence to the electronic device 1000.
  • the reference signal or pilot or other sequence is known to the electronic device 1000, so the electronic device 1000 can determine the detection error information after receiving and detecting it.
  • the reference signal or pilot or any known sequence may be the same for each terminal device.
  • the electronic device 1000 can determine the detection information based on the actual downlink data transmission, such as estimating based on the channel codec. In actual downlink data transmission, the electronic device 1000 can perform channel decoding. Since the channel codec can detect or correct the erroneous bits, the electronic device 1000 can estimate the error of the data detection.
  • the electronic device 1000 can also determine detection complexity information, such as represented by a detection delay.
  • the reporting unit 1015 may be configured to report detection information to the base station on a periodic basis or according to a trigger condition, or both.
  • the reporting unit 1015 may feed back the detection information to the base station every certain period, and the period may be a fixed value, for example, 10 ms.
  • the period may also be related to the validity period of the mapping matrix or the constellation diagram, for example, the period is 1/4 of the mapping matrix or the validity period of the constellation diagram, and the like.
  • reporting unit 1015 may, for example, feed back a detection error to the base station when the bit error rate exceeds a certain threshold (eg, 10 ⁇ 3 ).
  • the reporting unit 1015 may also be configured to report the decoding capabilities of the terminal device to the base station.
  • the decoding capability of the terminal device reference can be made to the related description above, and will not be repeated here.
  • the electronic device 1000 of FIG. 10 may be, for example, a portion of the terminal device or terminal device of FIGS. 1A and 1B.
  • the electronic device 1000 may decode the received data based on at least one of a terminal device grouping result, a resource allocation result, and a data detection scheme.
  • the electronic device 1000 may further decode the received data based on at least one of a terminal device re-grouping result, a resource reallocation result, and an updated data detection scheme.
  • the electronic device 1000 can perform any of the operations performed by the terminal device in the foregoing embodiments.
  • the electronic device 1000 may be configured to decode received data received from the base station based on at least one of a terminal device re-grouping result, a resource reallocation result, and an updated data detection scheme.
  • a processing circuit may refer to various implementations of digital circuitry, analog circuitry, or mixed signal (combination of analog and digital) circuitry that perform functions in a computing system.
  • Processing elements may include, for example, circuits such as integrated circuits (ICs), ASICs (application specific integrated circuits), portions or circuits of individual processor cores, entire processor cores, separate processors, such as field programmable gate arrays (FPGAs) Programmable hardware device, and/or system including multiple processors.
  • ICs integrated circuits
  • ASICs application specific integrated circuits
  • FPGAs field programmable gate arrays
  • the electronic device 1000 can be implemented at the chip level or can be implemented at the device level by including other external components.
  • the electronic device 1000 can operate as a communication device as a complete machine.
  • each of the above-described elements is merely a logical functional module that is divided according to the specific functions that it implements, and is not intended to limit the specific implementation.
  • each of the above functional units may be implemented as a separate physical entity, or may be implemented by a single entity (eg, a processor (CPU or DSP, etc.), an integrated circuit, etc.).
  • Embodiments of the present disclosure are also directed to yet another electronic device for a wireless communication system that can be used for uplink data transmission of a mode domain multiple access system (in this case, the electronic device can also have downlink data transmission) Features).
  • the electronic device may be configured to acquire a resource allocation result and a resource reallocation result to perform uplink data transmission on the corresponding transmission resource.
  • FIG. 11A illustrates an example method for communication in accordance with an embodiment of the present disclosure.
  • method 1100A can include terminal device grouping for data transmission based on terminal device information (block 1105), wherein multiple data streams of terminal devices within the same packet are resource multiplexed by mode domain multiple access.
  • the method 1100A further includes performing at least one of terminal device re-grouping, intra-packet resource reallocation, and data detection scheme update based on the detected information of the data transmission (block 1110), wherein the data detection scheme is for receiving based on the serial detection algorithm
  • the data is decoded.
  • Detailed example operations of the method may refer to the above description of operations and functions performed by the electronic device 200, and are not repeated here.
  • FIG. 11B illustrates another example method for communication in accordance with an embodiment of the present disclosure.
  • method 1100B can include obtaining a terminal device grouping result (block 1150), the terminal device grouping result being determined for data transmission based on terminal device information, wherein the plurality of data streams of the terminal device within the same grouping Resource reuse through mode domain multiple access.
  • the method 1100B can also include obtaining at least one of a terminal device regrouping result, a resource reallocation result, and an updated data detection scheme (block 1155), the terminal device regrouping result, a resource reallocation result, and an updated data detection scheme At least one of the items is determined based on detection information of the data transmission, wherein the data detection scheme is for decoding the received received data based on the serial detection algorithm.
  • FIG. 12A illustrates an example signaling interaction procedure between a base station and a terminal device for uplink data transmission, in accordance with an embodiment of the present disclosure.
  • each terminal device may be configured to transmit an uplink reference signal to the base station, and may also be configured to report an uplink transmission requirement to the base station, for example, in the form of a scheduling request SR or a buffer status report BSR.
  • the base station may be configured to receive an uplink reference signal and an uplink transmission requirement from each terminal device, and perform channel estimation based on the received uplink reference signal, thereby obtaining an uplink of each terminal device. Link channel status information.
  • the base station can be configured to perform terminal device grouping for uplink data transmission based on terminal device information (e.g., uplink channel state information).
  • terminal device information e.g., uplink channel state information
  • the base station can be configured to determine a data detection scheme for uplink data transmission; the data detection scheme can be not limited to the detection scheme described herein, and in one example, the data detection scheme can be in accordance with an embodiment of the present disclosure. Data detection scheme based on serial detection algorithm.
  • the base station may be configured to perform intra-group resource allocation and notify each terminal device of the resource allocation result; the base station may perform any form of intra-group resource allocation in S11, and in an example, the base station may perform the according to the present in S11. The intra-group resource allocation of the disclosed embodiments.
  • the resource allocation result herein may include information that facilitates the terminal device to perform uplink data transmission.
  • the resource allocation result here includes the mapping matrix V of the target terminal device itself and the constellation diagram.
  • each terminal device may be configured to acquire respective resource allocation results in order to transmit uplink data.
  • each terminal device may be configured to perform data modulation, perform resource mapping according to resource allocation results, and perform signal transmission.
  • the base station may be configured to receive signals from the respective terminal devices and perform data decoding based on the data detection scheme in S7.
  • the base station can be configured to locally collect uplink detection information (eg, including detection error and detection complexity, etc.) for uplink data transmission.
  • the base station may be configured to perform an appropriate combination of update operations (eg, update operation combinations a to c and b') according to the detection information or based on periodicity, and perform intra-group resource reallocation In the case of the case, the resource allocation result is notified again to each terminal device.
  • each terminal device may be configured to acquire respective resource allocation results, perform data modulation, perform resource mapping according to resource allocation results, and perform signal transmission.
  • the base station may be configured to receive signals from the respective terminal devices and perform data decoding based on the updated data detection scheme in S21.
  • the base station and each terminal device can be configured to perform the processes of S19 to S27.
  • the combination of the update operations performed in S21 may be any of the combinations a-c and b'.
  • the resource allocation results herein may still include information that facilitates uplink data transmission by the terminal device.
  • the base station In the case of employing SCMA, in the case where any one of the combinations a-c is performed, the base station needs to notify the resource allocation result, that is, the updated mapping matrix V and the constellation map. In the case of executing the combination b', since no intra-group resource reallocation occurs, no notification may be required (and S23 and subsequent operations are not required), and after S21, the base station only needs to perform detection and decoding in the updated order. . It will be appreciated that in one example, the base station may preferentially attempt to update the operational combination b' to attempt other combinations of update operations if the detection performance is not met. For example, in Figure 8B, an attempt to perform an update operation combination b' may be attempted prior to step 865.
  • FIG. 12A is only an example of a signaling interaction process between a base station and a terminal device for uplink data transmission, and it is considered by the art that other examples can be conceived within the scope of the present disclosure, such as adding other known The steps of merging, deleting, swapping, and the like of the steps in FIG.
  • FIG. 12B illustrates an example signaling interaction procedure between a base station and a terminal device for downlink data transmission, in accordance with an embodiment of the present disclosure.
  • the base station may be configured to transmit a downlink reference signal to each terminal device.
  • each terminal device may be configured to receive a downlink reference signal from the base station and perform channel estimation based on the received downlink reference signal to obtain respective downlink channel state information.
  • each terminal device may be configured to report downlink channel state information and respective decoding capabilities to the base station.
  • the base station can be configured to perform terminal device grouping for downlink data transmission based on terminal device information (e.g., downlink channel state information).
  • terminal device information e.g., downlink channel state information
  • the base station can be configured to determine a data detection scheme for downlink data transmission; the data detection scheme can be without limitation to the detection scheme described herein, and in one example, the data detection scheme can be in accordance with an embodiment of the present disclosure Data detection scheme based on serial detection algorithm.
  • the base station may be configured to perform intra-group resource allocation and notify each terminal device of the resource allocation result and the data detection scheme. The notification involved in S12 may only inform the target terminal device of the necessary information necessary for transmitting data detection.
  • the notification to the target terminal device may include at least the level of the target terminal device in the same packet and the resource allocation result of the terminal device at the previous level, that is, the resource allocation result of the terminal device at the subsequent level is not notified, thereby reducing signaling. Consumption.
  • the notification to the target terminal device may include only the SIC level of the target terminal device and the factor graph matrix F of the terminal device of the previous level and the constellation diagram, SIC level. The division, the mapping matrix V of the target terminal device itself (corresponding to a certain column in F) and the constellation diagram, wherein the SIC level of the target terminal device itself can be implicitly notified, that is, the last level of the notification.
  • the above method reduces the signaling consumption because the resource allocation result of the terminal device at the later level is not notified.
  • the factor graph matrix F and the constellation map of all terminals in the entire packet and the SIC level of the target terminal may be notified to the target terminal device.
  • the base station can perform any form of intra-group resource allocation in S12, and in one example, the base station can perform intra-group resource allocation in accordance with an embodiment of the present disclosure in S12.
  • each terminal device may be configured to acquire respective resource allocation results and data detection schemes in order to receive and decode downlink data.
  • the base station may be configured to perform data modulation, perform resource mapping according to resource allocation results, and perform signal transmission.
  • each terminal device may be configured to receive a signal from the base station and perform data decoding based on the data detection scheme in S10.
  • each terminal device may be configured to feed back downlink detection information (e.g., information including detection error and detection complexity) to the base station.
  • the base station can be configured to collect downlink detection information from each terminal device.
  • the base station may be configured to perform an appropriate combination of update operations (eg, update operation combinations a through c) based on the detection information or based on periodicity, and perform corresponding update operations (eg, terminal devices) After regrouping, re-allocating resources within the group, and updating at least one of the data detection schemes, each terminal device is notified of the corresponding update result. Similar to S12, the notification involved in S24 may only inform the target terminal device of the necessary update information required for transmission data detection. For example, the notification to the target terminal device may include at least the level of the target terminal device in the same packet and the update result of the terminal device at the previous level, that is, the update result of the terminal device at the subsequent level is not notified, thereby reducing signaling consumption.
  • update operations eg, update operation combinations a through c
  • the notified content may include the SIC level of the updated target terminal device and the factor graph matrix of the terminal device of the previous level. F and constellation diagram.
  • the notification content involved may be the same as that of S12.
  • the update operation combination b' it is only necessary to notify the target terminal of the level at which the level is updated.
  • each terminal device may be configured to acquire an update result.
  • the base station may be configured to perform data modulation, perform resource mapping and signal transmission according to the resource allocation result (updated in S24 if the resource allocation is updated in S24; otherwise determined in S12).
  • each terminal device may be configured to receive a signal from the base station and perform based on the data detection scheme (if updated in S24, updated in S24; otherwise determined in S10) Data decoding.
  • the base station and each terminal device may be configured to perform the processes of S20 to S30.
  • FIG. 12B is only an example of a signaling interaction process between a base station and a terminal device for downlink data transmission, and it is considered by the art that other examples can be conceived within the scope of the present disclosure, such as adding other known The steps of merging, deleting, swapping, and the like of the steps in FIG.
  • the base station needs to determine information required for data detection (for example, terminal device grouping, other required for decoding of target terminal device) After the resource allocation and data detection scheme of the terminal device is notified to each terminal device; on the other hand, in order to enable the base station to perform an appropriate determination/update operation, each terminal device needs to report its decoding capability and downlink detection to the base station. information.
  • inventive concept of the present disclosure is not limited to application in a cellular mobile communication architecture.
  • inventive concept can be applied in a cognitive radio system, as described in detail below.
  • cognitive radio systems include, for example, primary systems and secondary systems.
  • the primary system is a system with legitimate spectrum usage rights, such as a radar system.
  • the secondary system may be a system that does not have spectrum usage rights and can only properly use the spectrum for communication when the primary system does not use the spectrum, such as a civil communication system.
  • There can be multiple users in the secondary system namely secondary users.
  • the secondary system may also be a system with spectrum usage rights, but with a lower priority level in spectrum usage than the primary system. For example, in the case where an operator deploys a new base station to provide a new service, the services already provided by the existing base station are used as the primary system with spectrum usage priority.
  • each secondary system has only opportunistic usage rights for a particular spectrum.
  • some spectrum resources that have not been specified by regulations to a certain type of communication system can be used as various communication systems.
  • the unlicensed spectrum is used opportunistically.
  • the communication mode in which the primary and secondary systems coexist requires that the communication of the secondary system does not adversely affect the communication of the primary system, or the impact of the spectrum utilization of the secondary system can be controlled within the range allowed by the primary system (ie, no more than Interference threshold). In the case where the interference to the primary system is guaranteed to be within a certain range, the primary system resources available can be allocated to multiple secondary systems.
  • the primary system stores the coverage information of the primary system in the database.
  • This database also stores the interference limits that the primary system can tolerate.
  • the secondary system in the same area first accesses the database and submits the status information of the secondary system before starting to utilize the spectrum of the primary system in the same area, such as location information, spectrum emission mask, transmission bandwidth and carrier frequency. Wait. Then, the database calculates the interference amount of the secondary system to the primary system according to the state information of the secondary system, and calculates the estimated available spectrum resources of the secondary system in the current state according to the calculated interference amount of the secondary system to the primary system in the current state.
  • a spectrum coordinator may be disposed between the database and the secondary system for coordinating the utilization of the estimated available spectrum resources by the multiple secondary systems to optimize the spectrum utilization efficiency and avoid interference between the secondary systems.
  • both the database and the spectrum coordinator can also be implemented by a single entity. It can be understood that in the example without the main system, the database can be omitted and only the spectrum coordinator can be set.
  • multiple secondary user devices may be targeted.
  • the communication application of the device to one secondary user device and/or one secondary user device to multiple secondary user devices is in accordance with the method of the present disclosure.
  • the data transmission of the secondary user equipment can be controlled by the spectrum coordinator and the processing associated with the packet, resource allocation, and data detection schemes in accordance with the present disclosure is performed.
  • communication of a plurality of secondary user devices to one secondary user device may correspond to uplink data transmission
  • communication of one secondary user device to a plurality of secondary user devices may correspond to downlink data transmission.
  • Multiple secondary user devices can generally use a range of unlicensed spectrum and are divided into multiple packets. Each packet is assigned a subset of the unlicensed spectrum such that the unlicensed spectrum between the different packets is orthogonal. Multiple sub-user devices of the same group multiplex the unlicensed spectrum of the group and communicate through mode domain multiple access (eg, SCMA, PDMA) to improve spectrum utilization.
  • SCMA mode domain multiple access
  • the processing related to the packet, resource allocation, and data detection scheme according to the present disclosure may be implemented by the spectrum coordinator, which collects channel state information, detection information, and the like of the secondary user equipment, and notifies the corresponding processing result to the secondary User equipment.
  • the spectrum coordinator can implement some of the functions of the above-mentioned base station, but the spectrum coordinator does not serve as one of the transmission and reception of data transmission, but only implements the control function.
  • the plurality of secondary user equipments may correspond to the terminal equipment, and one of the secondary user equipments may correspond to the foregoing base station. And they all need to report channel state information, detection information, etc. to the spectrum coordinator, so that the spectrum coordinator can implement the control function.
  • each terminal device in a cellular mobile communication system can operate as a secondary user to form a secondary system to, for example, opportunistic use of unlicensed or lower priority usage spectrum.
  • the database and spectrum coordinator can be implemented by the base station.
  • FIG. 13 shows an example of how the method of the present disclosure is applied to the cognitive radio communication scenario.
  • the terminal devices can communicate by, for example, D2D, and the terminal devices 131 to 136 have a common communication object, that is, the terminal device 137. Accordingly, there may be data transmission from the terminal devices 131 to 136 to the terminal device 137 and/or data transmission from the terminal device 137 to the terminal devices 131 to 136.
  • the communication of the terminal devices 131 to 136 to the terminal device 137 may correspond to uplink data transmission, and the communication of the terminal device 137 to the terminal devices 131 to 136 may correspond to downlink data transmission.
  • a plurality of terminal devices may generally use a range of unlicensed or lower priority frequencies and are divided into a plurality of packets, each of which is assigned a subset of the spectrum such that the spectrum is orthogonal between different packets.
  • Multiple terminal devices of the same group multiplex the unlicensed spectrum of the group and communicate via mode domain multiple access (eg, SCMA, PDMA).
  • the processing related to the packet, resource allocation, and data detection scheme according to the present disclosure may be implemented by the base station 138 acting as a spectrum coordinator, which collects channel state information, detection information, and the like of the terminal device, and the corresponding processing result Notify the terminal device.
  • the base station 138 here has in common with the aforementioned base station (e.g., 105) that both control functions are implemented, but the base station 138 is not one of the transmission and reception of data transmission.
  • the terminal devices 131-136 may correspond to the aforementioned terminal devices, wherein the terminal devices 137 may correspond to the aforementioned base station 105, they It is necessary to report channel state information, detection information, and the like to the base station 138.
  • the methods of the present disclosure may be applied to cognitive radio systems such as systems conforming to the IEEE P802.19.1a standard and Spectrum Access System (SAS).
  • SAS Spectrum Access System
  • the packet and resource allocation function entity of the base station in the present disclosure is implemented as a coexistence manager (CMs) in the IEEE P802.19.1a standard, and the data transmission and detection function entity of the terminal device or the base station in the present disclosure.
  • CMs coexistence manager
  • GCO Geolocation Capability Object
  • the packet and resource allocation function entity of the base station in the present disclosure is implemented as a SAS resource management entity in the SAS system
  • the data transmission and detection function entity of the terminal device or the base station in the present disclosure is implemented as a citizen broadband wireless service in the SAS system.
  • User Citizens Broadband Radio Service Device, CBSD.
  • CBSD CBSD
  • the machine-executable instructions in the storage medium and the program product according to the embodiments of the present disclosure may also be configured to perform the method corresponding to the apparatus embodiment described above, and thus the content not described in detail herein may refer to the previous corresponding position. The description is not repeated here.
  • a storage medium for carrying the above-described program product including machine executable instructions is also included in the disclosure of the present invention.
  • the storage medium includes, but is not limited to, a floppy disk, an optical disk, a magneto-optical disk, a memory card, a memory stick, and the like.
  • FIG. 14 is a block diagram showing an example structure of a personal computer which is an information processing apparatus which can be employed in the embodiment of the present disclosure.
  • a central processing unit (CPU) 1301 executes various processes in accordance with a program stored in a read only memory (ROM) 1302 or a program loaded from a storage portion 1308 to a random access memory (RAM) 1303.
  • ROM read only memory
  • RAM random access memory
  • data required when the CPU 1301 executes various processes and the like is also stored as needed.
  • the CPU 1301, the ROM 1302, and the RAM 1303 are connected to each other via a bus 1304.
  • Input/output interface 1305 is also coupled to bus 1304.
  • the following components are connected to the input/output interface 1305: an input portion 1306 including a keyboard, a mouse, etc.; an output portion 1307 including a display such as a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; the storage portion 1308 , including a hard disk or the like; and a communication portion 1309 including a network interface card such as a LAN card, a modem, and the like.
  • the communication section 1309 performs communication processing via a network such as the Internet.
  • the driver 1310 is also connected to the input/output interface 1305 as needed.
  • a removable medium 1311 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory or the like is mounted on the drive 1310 as needed, so that the computer program read therefrom is installed into the storage portion 1308 as needed.
  • a program constituting the software is installed from a network such as the Internet or a storage medium such as the removable medium 1311.
  • such a storage medium is not limited to the removable medium 1311 shown in FIG. 14 in which a program is stored and distributed separately from the device to provide a program to the user.
  • Examples of the detachable medium 1311 include a magnetic disk (including a floppy disk (registered trademark)), an optical disk (including a compact disk read only memory (CD-ROM) and a digital versatile disk (DVD)), and a magneto-optical disk (including a mini disk (MD) (registered trademark) )) and semiconductor memory.
  • the storage medium may be a ROM 1302, a hard disk included in the storage portion 1308, or the like, in which programs are stored, and distributed to the user together with the device containing them.
  • the base stations mentioned in this disclosure may be implemented as any type of evolved Node B (eNB), such as a macro eNB and a small eNB.
  • the small eNB may be an eNB covering a cell smaller than the macro cell, such as a pico eNB, a micro eNB, and a home (femto) eNB.
  • the base station can be implemented as any other type of base station, such as a NodeB and a Base Transceiver Station (BTS).
  • BTS Base Transceiver Station
  • the base station may include: a body (also referred to as a base station device) configured to control wireless communication; and one or more remote radio heads (RRHs) disposed at a different location from the body.
  • a body also referred to as a base station device
  • RRHs remote radio heads
  • various types of terminals which will be described below, can operate as a base station by performing base station functions temporarily or semi-persistently.
  • the terminal device mentioned in the present disclosure is also referred to as a user device in some examples, and can be implemented as a mobile terminal (such as a smart phone, a tablet personal computer (PC), a notebook PC, a portable game terminal, a portable/dongle dog). Mobile routers and digital camera devices) or vehicle terminals (such as car navigation devices).
  • the user equipment may also be implemented as a terminal (also referred to as a machine type communication (MTC) terminal) that performs machine-to-machine (M2M) communication.
  • MTC machine type communication
  • M2M machine-to-machine
  • the user equipment may be a wireless communication module (such as an integrated circuit module including a single wafer) installed on each of the above terminals.
  • the term base station in this disclosure has the full breadth of its ordinary meaning and includes at least a wireless communication station that is used as part of a wireless communication system or radio system to facilitate communication.
  • the base station may be, for example but not limited to, the following: the base station may be one or both of a base transceiver station (BTS) and a base station controller (BSC) in the GSM system, and may be a radio network controller in the WCDMA system.
  • BTS base transceiver station
  • BSC base station controller
  • One or both of (RNC) and Node B may be eNBs in LTE and LTE-Advanced systems, or may be corresponding network nodes in future communication systems (eg, gNBs that may appear in 5G communication systems, etc.) Wait).
  • Some of the functions in the base station of the present disclosure may also be implemented as an entity having a control function for communication in a D2D, M2M, and V2V communication scenario, or as an entity that plays a spectrum coordination role in
  • the eNB 1400 includes a plurality of antennas 1410 and base station devices 1420.
  • the base station device 1420 and each antenna 1410 may be connected to each other via an RF cable.
  • the eNB 1400 (or base station device 1420) herein may correspond to the electronic device 200 described above.
  • Each of the antennas 1410 includes a single or multiple antenna elements, such as multiple antenna elements included in a multiple input multiple output (MIMO) antenna, and is used by the base station device 1420 to transmit and receive wireless signals.
  • the eNB 1400 can include multiple antennas 1410.
  • multiple antennas 1410 can be compatible with multiple frequency bands used by eNB 1400.
  • the base station device 1420 includes a controller 1421, a memory 1422, a network interface 1423, and a wireless communication interface 1425.
  • the controller 1421 may be, for example, a CPU or a DSP, and operates various functions of higher layers of the base station device 1420. For example, controller 1421 generates data packets based on data in signals processed by wireless communication interface 1425 and communicates the generated packets via network interface 1423. The controller 1421 can bundle data from a plurality of baseband processors to generate bundled packets and deliver the generated bundled packets. The controller 1421 may have a logical function that performs control such as radio resource control, radio bearer control, mobility management, admission control, and scheduling. This control can be performed in conjunction with nearby eNBs or core network nodes.
  • the memory 1422 includes a RAM and a ROM, and stores programs executed by the controller 1421 and various types of control data such as a terminal list, transmission power data, and scheduling data.
  • Network interface 1423 is a communication interface for connecting base station device 1420 to core network 1424. Controller 1421 can communicate with a core network node or another eNB via network interface 1423. In this case, the eNB 1400 and the core network node or other eNBs may be connected to each other through a logical interface such as an S1 interface and an X2 interface.
  • the network interface 1423 can also be a wired communication interface or a wireless communication interface for wireless backhaul lines. If network interface 1423 is a wireless communication interface, network interface 1423 can use a higher frequency band for wireless communication than the frequency band used by wireless communication interface 1425.
  • the wireless communication interface 1425 supports any cellular communication schemes, such as Long Term Evolution (LTE) and LTE-Advanced, and provides wireless connectivity to terminals located in cells of the eNB 1400 via the antenna 1410.
  • Wireless communication interface 1425 may typically include, for example, baseband (BB) processor 1426 and RF circuitry 1427.
  • the BB processor 1426 can perform, for example, encoding/decoding, modulation/demodulation, and multiplexing/demultiplexing, and performs layers (eg, L1, Medium Access Control (MAC), Radio Link Control (RLC), and Packet Data Convergence Protocol (PDCP)) Various types of signal processing.
  • BB processor 1426 may have some or all of the logic functions described above.
  • the BB processor 1426 may be a memory that stores a communication control program or a module that includes a processor and associated circuitry configured to execute the program.
  • the update program can cause the function of the BB processor 1426 to change.
  • the module can be a card or blade that is inserted into a slot of base station device 1420. Alternatively, the module can also be a chip mounted on a card or blade.
  • the RF circuit 1427 may include, for example, a mixer, a filter, and an amplifier, and transmits and receives a wireless signal via the antenna 1410.
  • FIG. 15 shows an example in which one RF circuit 1427 is connected to one antenna 1410, the present disclosure is not limited to the illustration, but one RF circuit 1427 may connect a plurality of antennas 1410 at the same time.
  • wireless communication interface 1425 can include a plurality of BB processors 1426.
  • multiple BB processors 1426 can be compatible with multiple frequency bands used by eNB 1400.
  • wireless communication interface 1425 can include a plurality of RF circuits 1427.
  • multiple RF circuits 1427 can be compatible with multiple antenna elements.
  • FIG. 15 illustrates an example in which the wireless communication interface 1425 includes a plurality of BB processors 1426 and a plurality of RF circuits 1427, the wireless communication interface 1425 may also include a single BB processor 1426 or a single RF circuit 1427.
  • the eNB 1530 includes a plurality of antennas 1540, a base station device 1550, and an RRH 1560.
  • the RRH 1560 and each antenna 1540 may be connected to each other via an RF cable.
  • the base station device 1550 and the RRH 1560 can be connected to each other via a high speed line such as a fiber optic cable.
  • the eNB 1530 (or base station device 1550) herein may correspond to the electronic device 200 described above.
  • Each of the antennas 1540 includes a single or multiple antenna elements (such as multiple antenna elements included in a MIMO antenna) and is used by the RRH 1560 to transmit and receive wireless signals.
  • the eNB 1530 can include multiple antennas 1540.
  • multiple antennas 1540 can be compatible with multiple frequency bands used by eNB 1530.
  • the base station device 1550 includes a controller 1551, a memory 1552, a network interface 1553, a wireless communication interface 1555, and a connection interface 1557.
  • the controller 1551, the memory 1552, and the network interface 1553 are the same as the controller 1421, the memory 1422, and the network interface 1423 described with reference to FIG.
  • the wireless communication interface 1555 supports any cellular communication scheme (such as LTE and LTE-Advanced) and provides wireless communication to terminals located in sectors corresponding to the RRH 1560 via the RRH 1560 and the antenna 1540.
  • Wireless communication interface 1555 can typically include, for example, BB processor 1556.
  • the BB processor 1556 is identical to the BB processor 1426 described with reference to FIG. 15 except that the BB processor 1556 is connected to the RF circuit 1564 of the RRH 1560 via the connection interface 1557.
  • the wireless communication interface 1555 can include a plurality of BB processors 1556.
  • multiple BB processors 1556 can be compatible with multiple frequency bands used by eNB 1530.
  • FIG. 16 illustrates an example in which the wireless communication interface 1555 includes a plurality of BB processors 1556, the wireless communication interface 1555 can also include a single BB processor 1556.
  • connection interface 1557 is an interface for connecting the base station device 1550 (wireless communication interface 1555) to the RRH 1560.
  • the connection interface 1557 may also be a communication module for communicating the base station device 1550 (wireless communication interface 1555) to the above-described high speed line of the RRH 1560.
  • the RRH 1560 includes a connection interface 1561 and a wireless communication interface 1563.
  • connection interface 1561 is an interface for connecting the RRH 1560 (wireless communication interface 1563) to the base station device 1550.
  • the connection interface 1561 can also be a communication module for communication in the above high speed line.
  • the wireless communication interface 1563 transmits and receives wireless signals via the antenna 1540.
  • Wireless communication interface 1563 can generally include, for example, RF circuitry 1564.
  • the RF circuit 1564 can include, for example, a mixer, a filter, and an amplifier, and transmits and receives wireless signals via the antenna 1540.
  • FIG. 16 shows an example in which one RF circuit 1564 is connected to one antenna 1540, the present disclosure is not limited to the illustration, but one RF circuit 1564 may connect a plurality of antennas 1540 at the same time.
  • the wireless communication interface 1563 can include a plurality of RF circuits 1564.
  • multiple RF circuits 1564 can support multiple antenna elements.
  • FIG. 16 illustrates an example in which the wireless communication interface 1563 includes a plurality of RF circuits 1564, the wireless communication interface 1563 may also include a single RF circuit 1564.
  • FIG. 17 is a block diagram showing an example of a schematic configuration of a smartphone 1600 to which the technology of the present disclosure can be applied.
  • the smart phone 1600 includes a processor 1601, a memory 1602, a storage device 1603, an external connection interface 1604, an imaging device 1606, a sensor 1607, a microphone 1608, an input device 1609, a display device 1610, a speaker 1611, a wireless communication interface 1612, and one or more An antenna switch 1615, one or more antennas 1616, a bus 1617, a battery 1618, and an auxiliary controller 1619.
  • smart phone 1600 (or processor 1601) herein may correspond to electronic device 1000 described above.
  • the processor 1601 may be, for example, a CPU or a system on chip (SoC), and controls the functions of the application layer and the other layers of the smartphone 1600.
  • the memory 1602 includes a RAM and a ROM, and stores data and programs executed by the processor 1601.
  • the storage device 1603 may include a storage medium such as a semiconductor memory and a hard disk.
  • the external connection interface 1604 is an interface for connecting an external device such as a memory card and a universal serial bus (USB) device to the smartphone 1600.
  • the imaging device 1606 includes an image sensor such as a charge coupled device (CCD) and a complementary metal oxide semiconductor (CMOS), and generates a captured image.
  • Sensor 1607 can include a set of sensors, such as a measurement sensor, a gyro sensor, a geomagnetic sensor, and an acceleration sensor.
  • the microphone 1608 converts the sound input to the smartphone 1600 into an audio signal.
  • the input device 1609 includes, for example, a touch sensor, a keypad, a keyboard, a button, or a switch configured to detect a touch on the screen of the display device 1610, and receives an operation or information input from a user.
  • the display device 1610 includes screens such as a liquid crystal display (LCD) and an organic light emitting diode (OLED) display, and displays an output image of the smartphone 1600.
  • the speaker 1611 converts the audio signal output from the smartphone 1600 into sound.
  • the wireless communication interface 1612 supports any cellular communication scheme (such as LTE and LTE-Advanced) and performs wireless communication.
  • Wireless communication interface 1612 may typically include, for example, BB processor 1613 and RF circuitry 1614.
  • the BB processor 1613 can perform, for example, encoding/decoding, modulation/demodulation, and multiplexing/demultiplexing, and performs various types of signal processing for wireless communication.
  • RF circuitry 1614 may include, for example, mixers, filters, and amplifiers, and transmit and receive wireless signals via antenna 1616.
  • the wireless communication interface 1612 can be a chip module on which the BB processor 1613 and the RF circuit 1614 are integrated. As shown in FIG.
  • the wireless communication interface 1612 can include a plurality of BB processors 1613 and a plurality of RF circuits 1614.
  • FIG. 17 illustrates an example in which the wireless communication interface 1612 includes a plurality of BB processors 1613 and a plurality of RF circuits 1614, the wireless communication interface 1612 may also include a single BB processor 1613 or a single RF circuit 1614.
  • wireless communication interface 1612 can support additional types of wireless communication schemes, such as short-range wireless communication schemes, near field communication schemes, and wireless local area network (LAN) schemes.
  • the wireless communication interface 1612 can include a BB processor 1613 and RF circuitry 1614 for each wireless communication scheme.
  • Each of the antenna switches 1615 switches the connection destination of the antenna 1616 between a plurality of circuits included in the wireless communication interface 1612, such as circuits for different wireless communication schemes.
  • Each of the antennas 1616 includes a single or multiple antenna elements (such as multiple antenna elements included in a MIMO antenna) and is used by the wireless communication interface 1612 to transmit and receive wireless signals.
  • smart phone 1600 can include multiple antennas 1616.
  • FIG. 17 illustrates an example in which smart phone 1600 includes multiple antennas 1616, smart phone 1600 may also include a single antenna 1616.
  • smart phone 1600 can include an antenna 1616 for each wireless communication scheme.
  • the antenna switch 1615 can be omitted from the configuration of the smartphone 1600.
  • the bus 1617 has a processor 1601, a memory 1602, a storage device 1603, an external connection interface 1604, an imaging device 1606, a sensor 1607, a microphone 1608, an input device 1609, a display device 1610, a speaker 1611, a wireless communication interface 1612, and an auxiliary controller 1619. connection.
  • Battery 1618 provides power to various blocks of smart phone 1600 shown in FIG. 17 via a feeder, which is partially shown as a dashed line in the figure.
  • the secondary controller 1619 operates the minimum required function of the smartphone 1600, for example, in a sleep mode.
  • FIG. 18 is a block diagram showing an example of a schematic configuration of a car navigation device 1720 to which the technology of the present disclosure can be applied.
  • the car navigation device 1720 includes a processor 1721, a memory 1722, a global positioning system (GPS) module 1724, a sensor 1725, a data interface 1726, a content player 1727, a storage medium interface 1728, an input device 1729, a display device 1730, a speaker 1731, and a wireless device.
  • the car navigation device 1720 (or processor 1721) herein may correspond to the electronic device 1000 described above.
  • the processor 1721 can be, for example, a CPU or SoC and controls the navigation functions and additional functions of the car navigation device 1720.
  • the memory 1722 includes a RAM and a ROM, and stores data and programs executed by the processor 1721.
  • the GPS module 1724 measures the position (such as latitude, longitude, and altitude) of the car navigation device 1720 using GPS signals received from GPS satellites.
  • Sensor 1725 can include a set of sensors, such as a gyro sensor, a geomagnetic sensor, and an air pressure sensor.
  • the data interface 1726 is connected to, for example, the in-vehicle network 1741 via a terminal not shown, and acquires data (such as vehicle speed data) generated by the vehicle.
  • the content player 1727 reproduces content stored in a storage medium such as a CD and a DVD, which is inserted into the storage medium interface 1728.
  • the input device 1729 includes, for example, a touch sensor, a button or a switch configured to detect a touch on the screen of the display device 1730, and receives an operation or information input from a user.
  • the display device 1730 includes a screen such as an LCD or OLED display, and displays an image of the navigation function or reproduced content.
  • the speaker 1731 outputs the sound of the navigation function or the reproduced content.
  • the wireless communication interface 1733 supports any cellular communication scheme (such as LTE and LTE-Advanced) and performs wireless communication.
  • Wireless communication interface 1733 can generally include, for example, BB processor 1734 and RF circuitry 1735.
  • the BB processor 1734 can perform, for example, encoding/decoding, modulation/demodulation, and multiplexing/demultiplexing, and performs various types of signal processing for wireless communication.
  • the RF circuit 1735 can include, for example, a mixer, a filter, and an amplifier, and transmits and receives wireless signals via the antenna 1737.
  • the wireless communication interface 1733 can also be a chip module on which the BB processor 1734 and the RF circuit 1735 are integrated. As shown in FIG.
  • the wireless communication interface 1733 can include a plurality of BB processors 1734 and a plurality of RF circuits 1735.
  • FIG. 18 illustrates an example in which the wireless communication interface 1733 includes a plurality of BB processors 1734 and a plurality of RF circuits 1735, the wireless communication interface 1733 may also include a single BB processor 1734 or a single RF circuit 1735.
  • wireless communication interface 1733 can support additional types of wireless communication schemes, such as short-range wireless communication schemes, near field communication schemes, and wireless LAN schemes.
  • the wireless communication interface 1733 can include a BB processor 1734 and an RF circuit 1735 for each wireless communication scheme.
  • Each of the antenna switches 1736 switches the connection destination of the antenna 1737 between a plurality of circuits included in the wireless communication interface 1733, such as circuits for different wireless communication schemes.
  • Each of the antennas 1737 includes a single or multiple antenna elements (such as multiple antenna elements included in a MIMO antenna) and is used by the wireless communication interface 1733 to transmit and receive wireless signals.
  • car navigation device 1720 can include a plurality of antennas 1737.
  • FIG. 18 illustrates an example in which the car navigation device 1720 includes a plurality of antennas 1737, the car navigation device 1720 may also include a single antenna 1737.
  • car navigation device 1720 can include an antenna 1737 for each wireless communication scheme.
  • the antenna switch 1736 can be omitted from the configuration of the car navigation device 1720.
  • Battery 1738 provides power to various blocks of car navigation device 1720 shown in Figure 18 via feeders, which are partially shown as dashed lines in the figure. Battery 1738 accumulates power supplied from the vehicle.
  • the technology of the present disclosure may also be implemented as an in-vehicle system (or vehicle) 1740 including one or more of the car navigation device 1720, the in-vehicle network 1741, and the vehicle module 1742.
  • vehicle module 1742 generates vehicle data such as vehicle speed, engine speed, and fault information, and outputs the generated data to the in-vehicle network 1741.
  • the algorithm (converts 6-user constellation symbols of 6 users into 4-dimensional sparse codewords) uses the error rate performance simulation results of the above two data detection schemes of FIG. 5B and FIG. 5C.
  • the performance curves of the schemes of Figures 5C, 5B are labeled SIC-1 and SIC-2, respectively, and the performance curve of the original message propagation algorithm as a comparison is labeled MPA.
  • the SIC-1 curve reflects that the receiving end decodes the signals of the first two users 1 and 2 according to the received signal y.
  • the factor graph matrix at this time is F 1 , and the signals of other users are treated as interference; After the signals x 1 and x 2 of the first two users 1 and 2 are extracted, the decoded signal is subtracted from the received signal y, and then the MPA decoding is performed on the users 3, 4, 5, and 6.
  • the factor graph matrix at this time is The combination of F 2 and F 3 decodes the data of users 3, 4, 5, and 6.
  • the SIC-2 curve reflects: the receiving end decodes the signals of the first two users according to the received signal y.
  • the factor graph matrix at this time is F 1 , and the signals of other users are treated as interference; the first two users are decoded.
  • the decoded signal is subtracted from the received signal y, and then the users 3 and 4 are decoded.
  • the factor graph matrix is F 2 , and the signals of the latter two users are treated as Interference; after decoding the signals x 3 and x 4 of the 3 and 4 users, the decoded signal is subtracted, and finally the users 5 and 6 are decoded.
  • the factor graph matrix at this time is F 3 .
  • the performance simulation results in Figure 19 show that as the difference in user channel gain increases, the gap between data detection scheme and message propagation algorithm based on serial interference cancellation is getting smaller and smaller in terms of bit error rate performance, that is, the performance loss is more The smaller it is.
  • the loss of SIC-1 in the bit error rate performance is negligible.
  • At least one of appropriate user grouping, re-grouping, intra-packet resource reallocation, and data detection scheme update can be performed according to a specific system situation, thereby achieving a compromise of decoding complexity and bit error rate.
  • the mode domain multiple access scheme is made suitable for practical applications.
  • a plurality of functions included in one unit in the above embodiment may be implemented by separate devices.
  • the plurality of functions implemented by the plurality of units in the above embodiments may be implemented by separate devices, respectively.
  • one of the above functions may be implemented by a plurality of units. Needless to say, such a configuration is included in the technical scope of the present disclosure.
  • the steps described in the flowcharts include not only processes performed in time series in the stated order, but also processes performed in parallel or individually rather than necessarily in time series. Further, even in the step of processing in time series, it is needless to say that the order can be appropriately changed.

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Abstract

本公开涉及用于无线通信系统的电子设备和方法。一种用于无线通信系统的电子设备包括处理电路，该处理电路被配置为基于终端设备信息针对数据传输进行终端设备分组，其中同一分组内的终端设备的多个数据流通过模式域多址接入进行资源复用。该处理电路还被配置为基于数据传输的检测信息进行终端设备重分组、分组内资源重分配和数据检测方案更新中的至少一项，其中数据检测方案用于基于串行检测算法对接收数据进行解码。

Description

用于无线通信系统的电子设备和方法 技术领域
本公开一般地涉及用于无线通信系统的电子设备和方法，更具体而言涉及通过模式域(Pattern Domain)进行多址接入而进行资源复用的电子设备和方法。
背景技术
随着无线通信技术的规模应用和无线通信业务的迅速发展，对无线通信系统的吞吐量和峰值速率的要求日益提高，以便满足不断发展的用户需求。为了提高无线通信系统的频谱效率以及增加无线通信系统可接入的终端设备的数量，已经提出了多种新型多址接入方式。这些新型多址接入方式包括稀疏编码多址接入(Sparse Code Multiple Access,SCMA)技术。在SCMA中，对一个或多个终端设备的数据进行星座图映射和码域扩展，使得二进制符号被映射为多维稀疏码本中的码字，从而使一个或多个终端设备的数据可以在同一时频资源中发送；相应地，接收侧通过检测算法对接收到的叠加在同一时频资源中的数据进行检测，从而分离出各终端设备的数据。新型多址接入方式还包括图分多址接入(Pattern Division Multiple Access,PDMA)技术。在PDMA中，通过图样(pattern)将一个或多个终端设备的数据映射到资源组中，从而使一个或多个终端设备的数据可以在同一资源组中发送；相应地，接收侧通过检测算法对接收到的叠加在同一资源组中的数据进行检测，从而分离出各终端设备的数据。
发明内容
在下文中给出了关于本公开的简要概述，以便提供关于本公开的一些方面的基本理解。但是，应当理解，这个概述并不是关于本公开的穷举性概述。它并不是意图用来确定本公开的关键性部分或重要部分，也不是意图用来限定本公开的范围。其目的仅仅是以简化的形式给出关于本公开的某些概念，以此作为稍后给出的更详细描述的前序。
根据本公开的一方面，提供了一种用于无线通信系统的电子设备，其包括处理电路。该处理电路可以被配置为基于终端设备信息针对数据传输进行终端设备分组，其中同一分 组内的终端设备的多个数据流通过模式域多址接入进行资源复用。该处理电路还可以被配置为基于数据传输的检测信息进行终端设备重分组、分组内资源重分配和数据检测方案更新中的至少一项，其中数据检测方案用于基于串行检测算法对接收数据进行解码。
根据本公开的另一方面，提供了一种用于无线通信系统的电子设备，其包括处理电路。该处理电路可以被配置为获得终端设备分组结果，该终端设备分组结果是基于终端设备信息针对数据传输而被确定的，其中同一分组内的终端设备的多个数据流通过模式域多址接入进行资源复用。该处理电路还可以配置为获得终端设备重分组结果、资源重分配结果和更新的数据检测方案中的至少一项，该终端设备重分组结果、资源重分配结果和更新的数据检测方案中的至少一项是基于数据传输的检测信息而被确定的，其中数据检测方案用于所述电子设备基于串行检测算法对接收到的接收数据进行解码。
根据本公开的另一方面，提供了一种用于通信的方法。该方法可以包括基于终端设备信息针对数据传输进行终端设备分组，其中同一分组内的终端设备的多个数据流通过模式域多址接入进行资源复用。该方法还可以包括基于数据传输的检测信息进行终端设备重分组、分组内资源重分配和数据检测方案更新中的至少一项，其中数据检测方案用于基于串行检测算法对接收数据进行解码。
根据本公开的另一方面，提供了一种用于通信的方法。该方法可以包括获得终端设备分组结果，该终端设备分组结果是基于终端设备信息针对数据传输而被确定的，其中，同一分组内的终端设备的多个数据流通过模式域多址接入进行资源复用。该方法还可以包括获得终端设备重分组结果、资源重分配结果和更新的数据检测方案中的至少一项，该终端设备重分组结果、资源重分配结果和更新的数据检测方案中的至少一项是基于数据传输的检测信息而被确定的，其中数据检测方案用于基于串行检测算法对接收到的接收数据进行解码。
根据本公开的另一方面，提供了一种用于无线通信系统的电子设备，其包括串行检测接收机，该串行检测接收机被配置为包含至少两级的并行检测单元，以用于对接收到的模式域多址接入信号进行分级解码，其中，每一级并行检测单元支持并行的多终端设备数据检测，在前级别的并行检测单元的解码输出作为在后级别并行检测单元的已知干扰以便从接收到的模式域多址接入信号中消除，并且在前级别的并行检测单元的目标数据流的资源正交性优于在后级别的并行检测单元的目标数据流的资源正交性。
本公开的其他方面还提供了一种存储有一个或多个指令的计算机可读存储介质，这一个或多个指令在由电子设备的一个或多个处理器执行时使电子设备执行根据本公开的相应方法。
附图说明
本公开可以通过参考下文中结合附图所给出的详细描述而得到更好的理解，其中在所有附图中使用了相同或相似的附图标记来表示相同或者相似的部件。所述附图连同下面的详细说明一起包含在本说明书中并形成说明书的一部分，用来进一步举例说明本公开的实施例和解释本公开的原理和优点。其中：
图1A至图1C示出了根据本公开的实施例的通过模式域多址接入技术复用传输资源的示例通信系统。
图2示出了根据本公开实施例的用于无线通信系统的示例电子设备。
图3A示出了可用于终端设备分组的一种方式。
图3B示出了根据本公开实施例的终端设备分组的示例方式。
图4A和图4B示出了根据本公开实施例的终端设备分组的示例操作。
图5A至图5D示出了根据本公开实施例的示例数据检测方案的检测处理。
图6示出了根据本公开实施例的分组内资源分配的示例。
图7示出了根据本公开实施例的更新单元210的示例更新操作组合。
图8A和图8B示出了根据本公开实施例的按周期或根据触发事件来执行更新操作组合的示例方法的流程图。
图9示出了根据本公开实施例的一种组内资源分配调整方式示例。
图10示出了根据本公开实施例的用于无线通信系统的另一示例电子设备。
图11A示出了根据本公开实施例的用于通信的示例方法。
图11B示出了根据本公开实施例的用于通信的另一示例方法。
图12A示出了根据本公开实施例的用于上行链路数据传输的基站与终端设备之间的 示例信令交互过程。
图12B示出了根据本公开实施例的用于下行链路数据传输的基站与终端设备之间的示例信令交互过程。
图13示出了如何将本公开的方法应用于认知无线电通信场景的例子。
图14是作为本公开的实施例中可采用的信息处理设备的个人计算机的示例结构的框图；
图15是示出可以应用本公开的技术的演进型节点(eNB)的示意性配置的第一示例的框图；
图16是示出可以应用本公开的技术的eNB的示意性配置的第二示例的框图；
图17是示出可以应用本公开的技术的智能电话的示意性配置的示例的框图；以及
图18是示出可以应用本公开的技术的汽车导航设备的示意性配置的示例的框图。
图19示出了根据本公开实施例的数据检测方案的性能分析图。
具体实施方式
在下文中，将参照附图详细地描述本公开内容的实施例。需说明的是，在本说明书和附图中，用相同的附图标记来表示具有基本上相同的功能和结构的结构元件，并且省略对这些结构元件的重复说明。
在下文中将结合附图对本公开的示例性实施例进行描述。为了清楚和简明起见，在说明书中并未描述实际实施方式的所有特征。然而，应该了解，在开发任何这种实际实施例的过程中必须做出很多特定于实施方式的决定，以便实现开发人员的具体目标，例如，符合与系统及业务相关的那些限制条件，并且这些限制条件可能会随着实施方式的不同而有所改变。此外，还应该了解，虽然开发工作有可能是较复杂和费时的，但对得益于本公开内容的本领域技术人员来说，这种开发工作仅仅是例行的任务。
在此，还需要说明的是，为了避免因不必要的细节而模糊了本公开，在附图中仅仅示出了与根据本公开的方案密切相关的设备结构和/或处理步骤，而省略了与本公开关系不大的其他细节。
存在通过模式域多址接入进行资源复用的通信方法，其中“模式”定义多个终端设备的数据对多个资源的占用情况。例如可用某种形式的编码来体现终端设备的数据的资源占用的模式。在本公开中，“终端设备的数据”或“终端设备的数据流”指的是从或向终端设备发送的数据或数据流。换言之，“终端设备的数据”或“终端设备的数据流”在一些示例中包括上行数据传输中从终端设备向基站传输的数据或数据流，在另一些示例中包括下行数据传输中从基站向终端设备传输的数据或数据流。模式域多址接入的例子可以包括前述的SCMA和PDMA，它们分别通过多维稀疏码本和特征图样作为模式来定义多个终端设备的数据对多个资源的占用情况并以此区分各个终端设备的数据，在本公开中模式域多址接入区别于以功率特征区分终端设备的数据的功率域多址接入。例如，在SCMA中，稀疏码本可以被设计为通过1、0来表示终端设备的数据是否占用某一资源。在PDMA中，可以为每个终端设备设计不同的图样以区分对资源的占用情况。在本公开的上下文中，资源可以一般地指时域和频域资源。本领域技术人员能够理解，资源还可以包括另外的资源，如空域资源和码域资源。
在模式域多址接入技术中，可以通过并行检测算法对分别用于多个终端设备的多个数据流进行检测或解码。并行检测算法可利用迭代方式同时解码出用于所有终端设备的数据流。换言之，并行检测算法对一个终端设备的数据流进行的检测或解码无需依赖于另一个终端设备的数据流的检测结果或解码结果。并行检测算法的例子例如可以包括最大后验概率(Maximum A Posteriori,MAP)检测算法、最大似然(Maximum Likelihood,ML)检测算法以及消息传递(Message Passing Algorithm,MPA)检测算法等等。并行检测算法可以以较高的检测复杂度获得较优良的检测性能。可以理解，并行检测算法的复杂度与系统中的资源数和终端设备数有关，资源数和终端设备数越大，则检测复杂度越高。
在模式域多址接入技术中，也可以通过串行检测算法对分别用于多个终端设备的多个数据流进行检测或解码。串行检测算法可以按照一定顺序逐个解码出每个终端设备的数据流。串行检测算法对一个终端设备的数据流进行的检测或解码需依赖于在前终端设备的数据流的检测结果或解码结果。串行检测算法的例子例如可以包括相继干扰消除(Successive Interference Cancellation，SIC)检测算法。与并行检测算法相比，串行检测算法的检测复杂度较低，但代价是检测性能有损失。
模式域多址接入技术的一个典型应用场景是蜂窝移动通信系统。图1A至图1C示出了根据本公开的实施例的通过模式域多址接入技术复用传输资源的示例通信系统。下面以 SCMA为例来描述图1A至图1C的模式域多址接入系统，但本领域技术人员应清楚，该模式域多址接入系统可以采用模式域多址接入技术中的任何技术(例如PDMA)。
图1A示出了SCMA系统中的发射端和接收端的示例操作。在该例子中，假设系统中的时频资源数为K，终端设备数为J，每个终端设备需要的资源数为N。如图1A所示，在发射端处，首先通过编码操作将二进制比特信息(例如
Figure PCTCN2018073651-appb-000001
其中M为星座图中的星座符号点数)调制为N维星座图符号(例如
Figure PCTCN2018073651-appb-000002
)，并且通过映射矩阵V将N维星座图符号转换为稀疏K维码字(例如
Figure PCTCN2018073651-appb-000003
)。用于多个终端设备的映射矩阵一般可以具有因子图表示形式，以下图6描述了K＝4，J＝6，N＝2情况的系统因子图F，其中因子图F中的每一行对应一个资源节点，每一列对应一个终端设备，第i行第j列元素为1表示终端设备j的相应星座点占用资源i，第i行第j列元素为0表示终端设备j不占用资源i。接着，J个终端设备的信号经过复接(multiplexed)后被发送给接收端。在接收端处，对于接收信号(例如信号y)，根据信道状态信息、因子图F和多终端设备的星座图，利用发送信号的稀疏性，可以采用例如MPA算法实现多终端设备数据检测，即检测出终端设备的信号X＝(x 1,…,x J)。
图1B中的SCMA系统100a对应于上行链路传输场景。如图1B所示，SCMA系统100a包括基站105和终端设备110-1至110-J，终端设备110-1至110-J在上行链路方向复用时频传输资源向基站105发送数据。
对于上行链路SCMA，任一终端设备110-1至110-J根据各自的星座图、映射矩阵V将二进制数据映射为星座符号，再经过映射矩阵V得到稀疏码字。多个终端设备的信号经过无线信道复接发送给基站105，基站105在接收到复接的信号之后通过并行检测算法解码出不同终端设备的数据。在SCMA系统中，例如可以使用消息传递算法(MPA)作为并行检测算法。在MPA算法中，基站105利用接收信号的稀疏性，在复用的时频资源上检测各终端设备的数据。具体而言，基站105在接收到复接的信号之后，根据各终端设备110-1至110-J的映射矩阵V建立因子图模型F，并将每个终端设备作为一个变量结点，将每个时频资源作为一个因子结点。其中，一个终端设备占用了一个时频资源，用该终端设备所对应的变量结点和该时频资源所对应的因子结点之间的边来表示。接着，根据各终端设备110-1至110-J的星座图确定每个变量结点可能的取值(即该终端设备在发送数据时可能采用的星座符号)以及每个取值的概率(初始值可以设为等概)。随后进行迭代处理，在每次迭代处理中，变量结点向每个与之以边相连的因子结点发送其可能取值的先验概率。 因子结点在收集到变量结点发送的该信息之后，根据接收到的信息计算后验概率并发送给变量结点。迭代的收敛条件是达到一定的迭代次数或者两次迭代过程中变量结点发送的信息之差小于设定的门限。在迭代收敛之后，可以解码出每个终端设备110-1至110-J发送的星座点符号。根据各终端设备110-1至110-J的星座图，可以解调出其所发送的二进制数据。
尽管SCMA系统中信号的稀疏性可以使得MPA算法以较低的复杂度实现多终端设备检测(即检测出各终端设备的信号)，但是在系统终端设备数较大的情况下(例如在未来通信的物联网等场景中)，上行链路的检测复杂度对基站而言仍然是很大的计算处理负担。对于SCMA系统，每个资源因子结点上的检测复杂度与
Figure PCTCN2018073651-appb-000004
成比例，其中M为星座图中的星座点数，d f为单个资源因子结点上重叠终端设备数的最大值，其由映射矩阵决定。全部资源因子结点上的检测复杂度与
Figure PCTCN2018073651-appb-000005
成比例，如上面指出的，K为资源因子节点数(即时频资源数)。
图1C中的SCMA系统100b对应于下行链路传输场景。如图1C所示，SCMA系统100b与图1B类似地包括基站105和终端设备110-1至110-J，基站105在下行链路方向复用时频传输资源向终端设备110-1至110-J发送数据。
对于下行链路SCMA，基站105将任一终端设备110-1至110-J的二进制数据映射为星座符号，再经过映射矩阵V得到稀疏码字。多个终端设备的信号经过复接后发送给各个终端设备。与上行链路SCMA不同的是，接下来由每个终端设备110-1至110-J在接收到由基站105复接的信号之后通过并行检测算法解码出用于该终端设备自身的数据。例如，终端设备可以通过MPA算法，利用接收信号的稀疏性，在复用的时频资源上解码出用于该终端设备自身的数据。各终端设备110-1至110-J通过MPA算法进行检测的处理与上行链路SCMA中基站105所执行的处理类似，此处不再重复描述。
值得注意的是，由于在下行链路SCMA中是由各终端设备执行MPA算法，因此考虑到终端设备的处理能力比基站弱，该算法较高的复杂度对终端设备的影响更大。在下行链路SCMA中，检测复杂度仍然与
Figure PCTCN2018073651-appb-000006
成比例。
尽管图1A至图1C是以SCMA技术为例描述的，但是本领域技术人员会清楚，在应用PDMA等其他模式域多址接入技术时也可以进行类似处理。例如，对于PDMA，用图样矩阵来代替上述的映射矩阵进行发送侧编码以及接收侧解码检测，其余处理均与SCMA的情况 类似。此时，并行检测算法的复杂度类似地与系统资源数、单个资源上重叠的终端设备数和星座图中的星座点数当中的一个或多个有关。
以下结合图2描述根据本公开实施例的用于无线通信系统的示例电子设备。根据一种实施方式，图2中的电子设备200例如可以是图1A和图1B中的基站105或者可以是基站105的一部分，也可以是用于控制基站的设备(例如基站控制器)或用于基站的设备或其一部分。如图2所示，在一个实施例中，电子设备200可以包括预处理单元205和更新单元210。在进一步的实施例中，电子设备200还可以包括检测信息收集单元215。下面介绍电子设备200的各个单元执行的操作。
预处理单元205例如可以被配置为基于终端设备信息针对数据传输进行终端设备分组，其中，同一分组内的终端设备的多个数据流通过模式域多址接入进行资源复用。在一个例子中，图1A和图1B中的终端设备110-1至110-J可以被分成G个分组，系统总的传输资源可以被对应地分配到各个分组。在该例子中，每个分组内的终端设备的数据流可以通过例如SCMA的模式域多址接入技术进行资源复用，不同分组之间的资源例如是正交的。由于分组间的资源正交性，可以仅在每个分组内进行数据检测。如前面说明的，并行检测算法(例如MPA)的复杂度与传输资源数有关。在该例子中，由于分配到每个终端设备分组的传输资源得以减少，因此可以在一定程度上降低并行检测算法(例如MPA)的复杂度。
更新单元210例如可以被配置为基于数据传输的检测信息进行终端设备重分组、分组内资源重分配和数据检测方案更新中的至少一项。例如，在由检测信息指示数据传输的检测性能不理想的情况下，系统更新单元210可以对终端设备的G个现有分组或单个分组内资源分配进行调整、或者更新数据检测方案、或者进行这些操作的任意可行的组合，从而改善数据传输的检测性能。在一个实施例中，数据检测方案可以是基于串行检测算法的数据检测方案，该数据检测方案可以用于基于串行检测算法对接收数据进行解码。如前面说明的，并行检测算法(例如MPA)通过迭代方式同时解码出所有终端设备的数据，检测复杂度较高。相比之下，根据本公开实施例的基于串行检测算法的数据检测方案具有较低的检测复杂度。在本公开的实施例中，“基于串行检测算法”不限于仅使用串行检测算法，而是指数据检测方案至少采用了串行检测的思想，即检测过程可以组合串行检测操作和并行检测操作。
如前面说明的，电子设备200还可能包括检测信息收集单元215。检测信息收集单元 215例如可以被配置为收集上下行数据传输中的检测信息，例如检测误差信息和检测复杂度信息等，以供更新单元210基于这些检测信息进行终端设备重分组、分组内资源重分配和数据检测方案更新中的至少一项。电子设备200也可以不包括检测信息收集单元215，而是由其他单元(例如更新单元210)执行其操作和功能。在一个实施例中，通过收集上下行数据传输中的检测信息，检测信息收集单元215可以被配置为生成用于特定终端设备的检测信息(例如该终端设备的检测误差信息)、用于特定分组的检测信息(例如该分组内终端设备的平均检测误差信息)以及用于整个系统的检测信息(例如整个系统内终端设备的平均检测误差信息)。
需说明的是，电子设备200可以用于上行链路数据传输和下行链路数据传输中的至少一者。在一个例子中，电子设备200可以是基站105或基站105的一部分。例如，在上行链路传输中，电子设备200的分组以及更新操作中的至少一个可用于基站侧的检测解码，在下行链路传输中，电子设备200的分组以及更新操作中的至少一个可用于终端侧的检测解码。根据一些实施方式，在上行链路数据传输中，检测信息收集单元215可以直接从基站105处收集检测信息；在下行链路数据传输中，检测信息收集单元215可从各终端设备110-1至110-J获取检测信息，相应地可由各终端设备110-1至110-J报告各自的检测信息。
在一个例子中，除了进行终端设备分组之外，预处理单元205还可以进行初始的资源分配和确定初始的数据检测方案，如之后将参照图5A至图6具体描述的。
预处理单元205、更新单元210和检测信息收集单元215中的一个或多个例如可以通过处理电路来实现。此处，处理电路可以指在计算系统中执行功能的数字电路系统、模拟电路系统或混合信号(模拟和数字的组合)电路系统的各种实现。处理元件可以包括例如诸如集成电路(IC)、ASIC(专用集成电路)这样的电路、单独处理器核心的部分或电路、整个处理器核心、单独的处理器、诸如现场可编程门阵列(FPGA)的可编程硬件设备、和/或包括多个处理器的系统。
可以理解，电子设备200可以以芯片级来实现，或者也可以通过包括其他外部部件而以设备级来实现。例如，电子设备200可以作为整机而工作为通信设备。
还应理解，上述各个单元仅是根据其所实现的具体功能划分的逻辑功能模块，而不是用于限制具体的实现方式。在实际实现时，上述各个功能单元可被实现为独立的物理实 体，或者也可由单个实体(例如，处理器(CPU或DSP等)、集成电路等)来实现。
以下结合图3A至图9来详细描述电子设备200以及其各个单元执行的具体示例性操作。
首先结合图3A至图4B描述关于终端设备分组的示例操作。在一个实施例中，终端设备信息可以包括信道状态信息，该信道状态信息包括例如信道增益。预处理单元205所执行的终端设备分组可以包括根据信道状态信息将终端设备(例如图1A和1B中的终端设备110-1至110-J)归入分组。根据一个实施例，根据信道状态信息将终端设备归入分组使得同一分组内的终端设备之间的信道增益差异性尽量大或大于预定阈值。“信道增益差异性大于预定阈值”中的阈值可以是预先确定的具体数值，也可以是通过算法客观体现出的某种信道增益差异性程度。换言之，只要分组的算法客观上使得其分组会导致分组内存在的信道增益差异性大于随机分组时导致的信道增益差异性，则这种分组的算法即被认为是使得信道增益差异性大于预定阈值。
图3A示出了可用于终端设备分组的一种方式。图3A中的模式域多址接入系统采用的分组方式使同一分组内的终端设备的信道增益尽量接近，这样，不同分组之间的终端设备一般具有较大的信道增益差异，但同一分组之内的终端设备具有较小的信道增益差异。如图3A所示，靠近基站的信道增益较大的6个终端设备被归入同一个分组，离基站较远的信道增益较小的6个终端设备被归入另一个分组。图3B示出了根据本公开实施例的终端设备分组的示例方式。图3B中的模式域多址接入系统采用的分组方式使同一分组内的终端设备的信道增益差异性尽量大，信道增益差异性尽量大也就是同一分组内的终端设备的信道增益具有尽量大的多样性(diversity)。为了使同一分组内的终端设备的信道增益差异性尽量大，可以要求该分组内的终端设备的信道增益的方差尽量大。在一个例子中，分组内的终端设备的信道增益的方差大于某预定阈值即可，即该方差大到一定程度即可。如图3B所示，靠近基站的信道增益较大的3个终端设备和离基站较远的信道增益较小的3个终端设备被归入同一个分组，其余的靠近基站以及离基站较远的总共6个终端设备被归入另一个分组。与图3A的分组方式相比，图3B的示例性分组方式使得同一分组内的终端设备的信道增益差异性较大(即信道增益具有较大的方差或多样性)，因此是本公开优选的分组方式。在同一分组内的终端设备的信道增益差异性较大的情况下，基于串行检测算法对同一分组内的数据进行检测或解码能够减小检测误差，使得与单纯使用并行检测算法相比，能够减小检测或解码的复杂度。
在一个例子中，在终端设备分组之后将系统资源相应地分配到各个分组，并且一般而言分配到单个分组的资源多于单个终端设备的资源需求而少于分组内所有终端设备的资源需求。上述终端设备分组使得同一分组的终端设备复用同一组资源，例如在同一分组内通过使用模式域多址接入(例如SCMA)技术，并且使得不同分组的终端设备使用不同的资源，即不同组之间的资源使用是相互正交的。在使用SCMA技术的情况下，由于SCMA是一种同步编码技术，需要终端设备保持系统同步。因此在该情况下，可以将符合该同步条件的终端设备归入同一分组。
需说明的是，终端设备信息可以包括分别对应于上下行链路的信道状态信息，例如对应于上下行链路的信道增益。可以根据上下行链路的信道状态信息针对上下行链路分别进行终端设备分组，并将相应的终端设备分组分别应用于上下行链路数据传输。然而，本领域技术人员应当清楚，在上下行链路信道满足互易性(reciprocity)的情况下，可以针对仅上行链路或仅下行链路进行终端设备分组，并将终端设备分组结果应用于上行链路数据传输和下行链路数据传输两者，从而减轻与终端设备分组相关的运算负荷。该种情况的典型场景是时分双工(TDD)通信系统。在频分双工(FDD)通信系统中，在上下行频带足够接近的情况下也可以认为上下行链路信道基本满足互易性。对于上行链路传输，基站例如可以基于从各终端设备发送的上行链路参考进行信道估计，从而获得各终端设备的上行链路信道状态信息；对于下行链路传输，各终端设备例如可以基于从基站发送的下行链路参考进行信道估计，从而获得各自的下行链路信道状态信息并将其反馈给基站。
根据一些实施例，将终端设备归入分组包括以下中的至少一者：1)将终端设备基于信道增益进行排序，依次将各终端设备归入不同分组；2)基于信道增益将终端设备匹配到分组配置模板中，其中分组配置模板指定分组中的终端设备数以及终端设备的信道增益水平。以下结合图4A和图4B描述根据本公开实施例的终端设备分组的示例操作。
图4A示出了根据本公开实施例的终端设备分组的一种示例操作。在图4A中，为了将J个终端设备410_1至410_J归入G个分组420_1至420_G中，首先将这些终端设备基于信道增益递增或递减进行排序(在该例子中是按信道增益递减的顺序进行排序)。接着，将排序后的终端设备依次归入或分配到各个分组。例如，在第一轮分配中，终端设备410_1可以被归入分组420_1，终端设备410_2可以被归入分组420_2，以此类推，直到终端设备410_G可以被归入分组420_G。接着，在第二轮分配中，从终端设备410_(G+1)开始的G个终端设备也可以被依次归入这G个分组。之后进行下一轮的分配，直到所有终端 设备都被归入分组。以分组410_1为例，可以理解，最后归入该分组的终端设备为410_1、410_(G+1)、410_(2G+1)等等。通过这种方式，信道增益相近的终端设备被尽可能地分到不同分组中，从而使得同一分组内的终端设备之间的信道增益差异性尽量大。
在终端设备分组的另一种示例操作中，电子设备200中可以存储有预先设定的分组配置模板，该分组配置模板可以对能够归入分组的终端设备数以及相应终端设备的信道增益水平进行规定。在该例子中，将终端设备归入分组的过程实际上是根据分组配置模板将指定数量的符合信道增益水平的终端设备匹配到该分组配置模板中，从而实例化一个或多个终端设备分组的过程。图4B示出了根据本公开实施例的用于终端设备分组的分组配置模板示例。如图4B所示，分组配置模板1指定了分组可以具有8个终端设备，其中2个终端设备的信道增益为12，2个终端设备的信道增益为8，2个终端设备的信道增益为4，其余2个终端设备的信道增益为1。类似地，分组配置模板2指定了分组可以具有6个终端设备，其中3个终端设备的信道增益为10，其余3个终端设备的信道增益为2。在进行终端设备分组时，例如对于系统中有40个终端设备的情况，可能有24个符合信道增益水平的终端设备根据分组配置模板1被实例化为3个分组，可能有12个符合信道增益水平的终端设备根据分组配置模板2被实例化为2个分组，其余8个终端设备由于信道增益不匹配可以被归入单独的分组。当然，在其他例子中，上述其余8个终端设备也可以根据另外的分组配置模板被实例化为分组。
需指出的是，分组内的终端设备数越大，该分组的资源数相应越多，则检测复杂度越大，反之亦然；分组内终端设备的信道增益差异性越大，则检测性能越好，反之亦然。因此，在预先配置分组检测模板时，需要考虑不同的检测需求，可以通过分组内的终端设备数和信道增益差异性来配置符合检测需求的分组检测模板。
还需指出的是，分组配置模板中的上述信道增益值即可以是信道增益的绝对值，也可以是规格化的值。而且，在基于信道增益将终端设备匹配到分组配置模板的过程中，可以不要求终端设备的信道增益与分组配置模板中指定的信道增益完全相同，而是二者在一定的容限内匹配即可。通过这种方式，分组配置模板中的每个信道增益可以是一个信道增益的范围，落入该范围内的信道增益即可匹配到分组配置模板的相应位置上。例如，对于分组配置模板2，实际匹配到该模板的6个终端设备的信道增益可以是[10.9,9.8,9.7,2.5,2.0,1.9]。
通过以上方式将终端设备归入分组可以使得同一分组内的终端设备之间的信道增益差异性尽量大或至少大于预定阈值。应当理解，以上方式仅是示例性的，本领域技术人员可以构想其他分组方式来实现基本相同的效果。例如，在将终端设备归入分组过程中，可以为每个分组首先分入一个初始终端设备，并随后添加与初始终端设备的信道增益差异最大的终端设备。在一个实施例中，可以定义两个终端设备之间的信道增益差异为如下的d i,j：
Figure PCTCN2018073651-appb-000007
其中，h i表示第i个终端设备的信道增益，d i,j表示第i和第j个终端设备之间的信道增益差异。根据分组数G，首先为每个分组逐个随机分入一个终端设备U g,g＝1,2,…,G，作为初始终端设备。接着，为每个分组逐个选择一个待添加的终端设备，使得该待添加的终端设备与分入该分组的初始终端设备的信道增益差异最大，即arg max id i,g。在为每个分组添加了所选择的终端设备之后，重复该选择和添加过程，即每次都选择并添加与分入分组的初始终端设备的信道增益差异最大的终端设备，直到所有终端设备都被归入分组。
如前面指出的，电子设备200(例如通过预处理单元205)还可以被配置为确定初始的数据检测方案。除了以下的示例方法之外，本领域技术人员也可以以任何适当的方式来确定数据检测方案。
在一个实施例中，确定数据检测方案包括对分组内的终端设备进行分级，使得至少一个级别包括两个或更多个终端设备。根据分级结果，不同级别的终端设备通过串行检测算法进行检测，同一级别的两个或更多个终端设备通过并行检测算法进行检测。在一个示例性实施例中，对分组内的终端设备进行分级包括将终端设备按照信道增益高低归入相应级别，与较高信道增益对应的级别内的终端设备的数据流的检测顺序较靠前。例如，具有较高信道增益的终端设备被归入检测顺序较靠前的级别，具有中等信道增益的终端设备被归入检测顺序居中的级别，而具有较低信道增益的终端设备被归入检测顺序较靠后的级别。通过这样的方式，可由串行检测算法对信道增益差异较大的终端设备的数据流形成的不同级别进行串行检测，而由并行检测算法并行检测信道增益相近的终端设备的数据流。
如前面所指出的，在模式域多址接入系统中，资源数和终端设备数越大，则并行检测算法的复杂度越高。考虑到串行检测算法的复杂度可以低于并行检测算法，因此在终端 设备分组的基础上，为了进一步降低检测复杂度并保留并行检测性能较好的优点，一个可行的示例方式可以如下：对分组内的终端设备进行分级，使一个或多个级别可以包括两个或更多个终端设备，并且不同级别的终端设备可以通过串行检测算法进行检测，同一级别的两个或更多个终端设备可以通过并行检测算法进行检测。如此，得到一种基于串行检测算法的数据检测方案，其将终端设备分组内的各级别整体作为串行检测对象进行检测，将单个级别中的各终端设备作为并行检测对象进行检测。
在前述分组方式使得同一分组内的终端设备之间的信道增益差异性尽量大或大于预定阈值的情况下，将终端设备按照信道增益高低归入相应级别可使得串行检测算法具有较低的检测误差，从而使得基于串行检测算法(包括组合了串行检测算法和并行检测算法)的检测算法能够同时兼顾复杂度和检测误差两者。
上述数据检测方案可以适用于上行链路数据传输和下行链路数据传输两者。对于上行链路数据传输，可以由基站执行该数据检测方案；对于下行链路数据传输，可以由各终端设备执行该数据检测方案。
具体而言，对于上行链路数据传输，可以由基站执行基于串行检测算法的数据检测方案中的各级检测。例如，对于第一级检测，该基站可以接收来自特定分组内各终端设备的通过模式域多址接入技术(例如SCMA)复接的信号作为输入，并通过并行检测算法(例如MPA)检测出来自组内第一级别的终端设备的信号。在第一级检测中，来自其后级别(即第二级别、第三级别等等)的终端设备的信号被视为干扰或噪声，而对第一级别的终端设备的数据流进行并行检测。之后可以进行第二级检测，其中将从上述接收的信号中减去其中与第一级别的终端设备的信号对应的部分作为第二级检测的输入，并通过并行检测算法检测出来自组内第二级别的终端设备的信号。类似地，在第二级检测中，来自其后级别(即第三级别、第四级别等等)的终端设备的信号被视为干扰或噪声，而对第二级别的终端设备的数据流进行并行检测。之后，类似地进行第三级、第四级等的检测，直到完成所有分级的检测从而检测出来自组内各级别的终端设备的信号。需注意，第一级检测的输入可以是接收信号，但是自第二级检测起，需要从接收信号中减去其中与先前级别的终端设备的信号对应的部分作为各级检测的输入。在优选的示例中，将信道增益较大的终端设备归入第一级别，即使存在其后级别的干扰，第一级检测仍能以较高正确率完成，从而避免误差传导至其后级别检测，逐级如此，可提高整体的解码率。
对于下行链路数据传输，可以由特定分组的各级别的终端设备执行基于串行检测算法的数据检测方案中的部分或全部级别的检测。与上行链路数据传输中基站执行所有级别的检测不同，在下行链路数据传输中，各级别的终端设备可以执行基于串行检测的检测方案仅直到与其级别对应的检测即可。例如，第一级别的终端设备可以仅执行第一级检测，其中终端设备可以接收从基站发送到特定分组内各终端设备的通过模式域多址接入技术(例如SCMA)复接的信号作为输入，并通过并行检测算法(例如MPA)检测出发送到第一级别的终端设备自身的信号。第二级别的终端设备需要执行第一级和第二级检测，其中第一级检测的操作与第一级别的终端设备相似。在第二级检测中，第二级别的终端设备可以将从上述接收的信号中减去其中与第一级别的终端设备的信号对应的部分作为第二级检测的输入，并通过并行检测算法检测出发送到第二级别的终端设备的信号。第三级别的终端设备需要执行第一至第三级的检测，第四级别的终端设备需要执行第一至第四级的检测，以此类推，最后级别的终端设备需要执行所有级别的检测，才可以检测出发送到相应级别的终端设备的信号。需注意，第一级检测的输入可以是接收信号，但是自第二级检测起，需要从接收信号中减去其中与先前级别的终端设备的信号对应的部分作为各级检测的输入。
在一个例子中，为了为单个分组内的终端设备确定基于串行检测算法(例如SIC)的数据检测方案，可以将各个终端设备按照信道增益高低归入若干级别。由于串行检测算法的特点是先检测较容易检测的终端设备(例如信道增益较高的、接收信噪比较高的)，因此，与较高信道增益对应的级别内的终端设备的数据流的检测顺序较靠前。在一个例子中，可以将差异在一定阈值范围内的信道增益划分为一个级别。例如，对于6个终端设备的信道增益[10.9,9.8,9.7,2.5,2.0,1.9]，一种情况下，假设阈值范围为2，那么信道增益[10.9,9.8,9.7]由于最大差异为10.9-9.7＝1.2(＜2)可以被认为对应一个级别；类似地，信道增益[2.5,2.0,1.9]由于最大差异为2.5-1.9＝0.6(＜2)可以被认为对应另一个级别。之后，可以将前3个终端设备归入第一级别，将后三个终端设备归入第二级别。另一种情况下，假设阈值范围为1，那么信道增益10.9可以单独被认为对应一个级别，因为10.9-9.8＝1.1(＞1)；信道增益[9.8,9.7]可以被认为对应一个级别，信道增益[2.5,2.0,1.9]可以被认为对应另一个级别。
以下结合图5A至图5D描述根据本公开实施例的示例数据检测方案的检测处理，其中图5A至图5C是对上行链路数据传输进行检测的示例，图5D是对下行链路数据传输进行检测的示例。本公开的一些实施例可以涉及一种串行检测接收机，该串行检测接收机可以 被配置为执行数据检测方案的检测处理。例如，该串行检测接收机可以被配置为包含至少两级的并行检测单元，以用于对接收到的模式域多址接入信号进行分级解码，其中每一级并行检测单元支持并行的多终端设备数据检测，在前级别的并行检测单元的解码输出作为在后级别并行检测单元的已知干扰以便从接收信号中消除，并且在前级别的并行检测单元的目标数据流的资源正交性优于在后级别的并行检测单元的目标数据流的资源正交性。在一个例子中，模式域多址接入包括SCMA或PDMA。根据本公开的用于无线通信系统的电子设备可以包括上述串行检测接收机。
图5A示出了根据本公开实施例的基于串行检测算法的示例数据检测方案的检测处理。如图5A所示，对于模式域接入系统中特定分组内的6个终端设备1至6，假设终端设备1和2被分为第一级别，终端设备3和4被分为第二级别，终端设备5和6被分为第三级别。用于这6个终端设备的数据通过模式域多址接入方式被复接后，经过无线传输在接收端被接收，接收信号可以表示为
Figure PCTCN2018073651-appb-000008
其中hj表示终端设备j的信道矩阵，xj表示用于终端设备j的数据，n表示噪声，diag表示以括号内的向量构造成对角矩阵。对于接收信号y，基于串行检测算法的数据检测方案可以逐级检测出用于各终端设备的数据。首先是第一级检测(例如可以由串行检测接收机的第一级并行检测单元执行)，对于输入信号y，将终端设备的第一级别作为串行检测对象，并通过并行检测算法解码出用于终端设备1和2的数据x1、x2；接着是第二级检测(例如可以由第二级并行检测单元执行)，从输入信号y减去与已解码出的数据x1、x2对应的部分作为输入，将终端设备的第二级别作为串行检测对象，并通过并行检测算法解码出用于终端设备3和4的数据x3、x4；对于第三级检测(例如可以由第三级并行检测单元执行)，从上一级的输入信号减去与已解码出的数据x3、x4对应的部分作为输入，将终端设备的第三级别作为串行检测对象，并通过并行检测算法解码出用于终端设备5和6的数据x5、x6。在上行链路数据传输中，基站可以通过上述操作解码出用于终端设备1至6的数据。
根据一种实施方式，可使用的串行检测算法例如可以是相继干扰消除(SIC)算法，可使用的并行检测算法例如可以是MPA算法。在该情况下，仍可使用上述串行检测接收机进行检测处理，并且该串行检测接收机可以实现为SIC接收机，并行检测单元可以实现为MPA单元。图5B示出了根据本公开实施例的基于SIC的示例数据检测方案的检测处理。除了限定了具体算法之外，该例子可以与图5A类似。该数据检测方案可以例如用于SCMA系统。如图5B所示，仍然是被分为3个级别的6个终端设备1至6，用于这6个终端设备的 数据通过SCMA被复接后，经过无线传输在接收端被接收，表示为y。对于接收信号y，基于串行检测算法SIC的数据检测方案可以逐级检测出用于各个终端设备的数据。首先是第一级检测(例如可以由SIC接收机的第一级MPA单元执行)，对于输入信号y，将终端设备的第一级别作为SIC检测对象，通过MPA解码出用于终端设备1和2的数据x1、x2，其中MPA解码可以采用与终端设备1和2对应的因子图F1(即从系统因子图中取出与终端设备1和2对应的列形成的)，如图5B右侧所示；接着是第二级检测(例如可以由第二级MPA单元执行)，从输入信号y减去与已解码出的数据x1、x2对应的部分作为输入，将终端设备的第二级别作为SIC检测对象，通过MPA解码出用于终端设备3和4的数据x3、x4，其中MPA解码可以采用与终端设备3和4对应的因子图F2(即从系统因子图中取出与终端设备3和4对应的列形成的)，如图5B右侧所示；对于第三级检测(例如可以由第三级MPA单元执行)，从上一级的输入信号减去与已解码出的数据x3、x4对应的部分作为输入，将终端设备的第三级别作为SIC检测对象，通过MPA解码出用于终端设备5和6的数据x5、x6，其中MPA解码可以采用与终端设备5和6对应的因子图F3(即从系统因子图中取出与终端设备5和6对应的列形成的)，如图5B右侧所示。如前面所指出的，对于SCMA系统，每个资源因子结点上的检测复杂度与
Figure PCTCN2018073651-appb-000009
成比例。如图5B中的因子图F1至F3所示，对分组内的终端设备进行分级实际上减小了每次MPA检测中单个资源因子结点上可能重叠的终端设备数d f，因此能够减小每次MPA检测的复杂度。
图5C示出了根据本公开实施例的基于SIC的另一示例数据检测方案的检测处理。除了组内的终端设备1至6被分为2个级别之外，图5C的示例与图5B类似。如图5C所示，终端设备1和2被分为第一级别，终端设备3至6被分为第二级别。用于这6个终端设备的数据通过SCMA被复接后，经过无线传输在接收端被接收，表示为y。对于接收信号y，基于串行检测算法SIC的数据检测方案可以逐级检测出用于各个终端设备的数据。首先是第一级检测，对于输入信号y，将终端设备的第一级别作为SIC检测对象，通过MPA解码出用于终端设备1和2的数据x1、x2，其中MPA解码可以采用与终端设备1和2对应的因子图如图5C右侧所示(即从系统因子图中取出与终端设备1和2对应的列形成的)；接着是第二级检测，从输入信号y减去与已解码出的数据x1、x2对应的部分作为输入，将终端设备的第二级别作为SIC检测对象，通过MPA解码出用于终端设备3至6的数据x3、x4、x5和x6，其中MPA解码可以采用与终端设备3至6对应的因子图(即从系统因子图中取出与终端设备3至6对应的列形成的)。与图5B的情况类似，图5C的检测处理可使用上述 SIC接收机执行，不同之处在于此处可以仅通过两级MPA单元完成检测处理，而图5B的检测处理需通过三级MPA单元完成。
上述图5A至5C具体以上行链路数据传输为例介绍了本公开的应用示例。应当理解，对于上下行链路数据传输，该数据检测过程分别在基站和各终端设备处执行，除了数据经历的信道不同，其他流程都是类似的。下面简单以图5D为例介绍本公开的下行链路数据检测。如图5D所示，对于模式域接入系统中特定分组内的6个终端设备1至6，假设终端设备1和2被分为第一级别，终端设备3和4被分为第二级别，终端设备5和6被分为第三级别。用于这6个终端设备的下行数据通过模式域多址接入方式被复接后，经过无线传输在接收端i被接收，接收信号可以表示为
Figure PCTCN2018073651-appb-000010
其中hi表示终端设备i的信道矩阵，xj表示用于终端设备j的数据，n表示噪声，diag表示以括号内的向量构造成对角矩阵。对于终端设备i的接收信号yi，基于串行检测算法的数据检测方案可以逐级检测出用于各终端设备的数据。首先是第一级检测(例如可以由串行检测接收机的第一级并行检测单元执行)，对于输入信号yi，将终端设备的第一级别作为串行检测对象，并通过并行检测算法解码出用于终端设备1和2的数据x1、x2；接着是第二级检测(例如可以由第二级并行检测单元执行)，从输入信号yi减去与已解码出的数据x1、x2对应的部分作为输入，将终端设备的第二级别作为串行检测对象，并通过并行检测算法解码出用于终端设备3和4的数据x3、x4；对于第三级检测(例如可以由第三级并行检测单元执行)，从上一级的输入信号减去与已解码出的数据x3、x4对应的部分作为输入，将终端设备的第三级别作为串行检测对象，并通过并行检测算法解码出用于终端设备5和6的数据x5、x6。在下行链路数据传输中，终端设备1和2可以仅执行第一级检测，终端设备3和4需要执行第一级和第二级检测，终端设备5和6需要执行第一级至第三级检测，从而解码出用于终端设备自身的数据。可以理解，假设调制方式为QPSK，即星座图中的点数为M＝4，则图5B中的检测操作的复杂度可以与(4 1+4 1+4 1)有关，图5C中的检测操作的复杂度可以与(4 1+4 2)有关。对于同样的调制方式和资源分配方式，仅进行MPA的复杂度可以与(4 3)有关(因为在由F1至F3构成的整个因子图中，每个资源因子节点上重叠的终端设备数为3)，而仅进行串行检测的检测复杂度是最低的。可见，图5B、5C中的示例数据检测方案可以实现并行检测算法(例如MPA算法)与串行检测算法(例如SIC)算法的折中的复杂度水平。根据图5B、5C还可以看出，组内的级别数越多，则检测复杂度越小，但检测性能也会相应降低。因此，将串行检测算法和并行检测算法组合起来进行检测算法设计也是对于 检测复杂度与检测性能的折中。
如前面指出的，电子设备200(例如通过预处理单元205)还可以被配置为进行初始的资源分配。以下结合图6描述根据本公开实施例的分组内资源分配的示例。除了该示例之外，本领域技术人员也可以以任何适当的方式来进行初始的资源分配。
在一个实施例中，所确定的分组内资源分配可以使同一级别的终端设备的数据流之间的资源重叠尽量小。图6以SCMA系统为例，示出了根据本公开实施例的分组内资源分配的一个示例。SCMA系统中的资源分配可以通过因子图矩阵F表示，其中因子图矩阵F中的每一行对应一个资源节点，每一列对应一个终端设备，第i行第j列元素为1表示终端设备j占用资源i，第i行第j列元素为0表示终端设备j不占用资源i。图6中的因子图矩阵F是对应于图5B中的检测算法的例子，F1、F2和F3按顺序分别取出F的两列。在一个例子中，仍然假设终端设备1和2被分为第一级别，终端设备3和4被分为第二级别，终端设备5和6被分为第三级别。如图6所示，F所表示的分组内资源分配在每一级别内使不同终端设备的数据流分别占用不同的资源，即资源重叠尽量小(此时亦为最小)。在另一个例子中，假设终端设备3至6被分为一个级别，由于每个终端设备的资源需求约束(即需要资源数为2)，此时F所表示的分组内资源分配不能使终端设备3至6的数据流分别占用不同的资源，但可以使资源重叠尽量小。
同一级别的终端设备的数据流之间的资源重叠尽量小实际上减小了单个资源因子结点上重叠的终端设备数d f，因此能够减小每次MPA的检测复杂度。在一个例子中，在进行组内资源分配时，可以优先使得级别靠前的终端设备的数据流之间的资源重叠尽量小，从而使得检测顺序靠前的终端设备的检测性能较好，避免串行检测中的误差传播问题。在另一个例子中，可以使得串行检测中检测顺序靠前的终端设备的数据流与检测顺序在其后的其他数据流的资源尽量正交，这同样有助于避免串行检测中的误差传播问题。
如以上指出的，在上行链路数据传输和下行链路数据传输中，执行数据检测方案的设备可以不同。对于上行链路数据传输，可以由基站侧执行数据检测方案。对于下行链路数据传输，可以由终端设备侧执行数据检测方案。由于基站可以具有较多的处理资源，因此解码能力较强，可以执行各种复杂度的检测。相比之下，终端设备可能一般具有受限的处理资源，相应地解码能力较弱。而且，不同终端设备的解码能力也可能存在差异，从而仅能支持一定的检测复杂度。例如，一些终端设备可以支持并行检测算法(例如MPA)和 串行检测算法(例如SIC)，另一些终端设备可能仅支持串行检测算法(例如SIC)。因此，对于下行链路数据传输，电子设备200(例如预处理单元205)在进行终端设备分组和确定数据检测方案时，应当考虑各终端设备的解码能力，进行适当的终端设备分组、分组内的分级和资源分配。
在一个实施例中，对于从基站到终端设备的下行链路数据传输，在特定终端设备的解码能力仅支持串行检测算法的情况下，对分组内的终端设备进行分级可以包括向该特定终端设备分配较高的下行链路传输功率，并将该特定终端设备单独归入检测顺序尽量靠前的级别。
如前面所描述的，一般而言，对分组内的终端设备进行分级可以包括将终端设备按照信道增益高低归入相应级别，并且一般而言，与较高信道增益对应的级别内的终端设备的数据流的检测顺序较靠前。考虑到终端设备的解码能力，在一个例子中，在确定数据检测方案时，可以将仅支持串行检测算法(例如SIC)的终端设备单独归入一个级别，从而该终端设备不需要在级别内执行并行检测，而是仅通过串行检测算法解码。由于串行检测中，顺序靠前的检测处理相对简单，因此为了进一步降低仅支持串行检测算法(例如SIC)的终端设备的处理负担，可以将其单独归入检测顺序尽量靠前的级别。此时，考虑到串行检测要求级别靠前的接收信号强度较高，需要为该终端设备分配较高的下行链路传输功率，以提高该终端设备的接收信号强度。
在一个实施例中，对于从基站到终端设备的下行链路数据传输，在特定终端设备的解码能力仅支持串行检测算法的情况下，将终端设备归入分组还包括将仅支持串行检测算法的终端设备归入同一分组，该分组内的终端设备仅通过串行检测算法进行检测。
在一些情况下，可以根据终端设备的处理能力来定义终端设备的解码能力，处理能力越强则相应的解码能力越高；反之亦然。在一些情况下，还可以根据业务的解码时延要求来修正终端设备的解码能力，解码时延要求越高则解码能力相应降低；反之亦然。终端设备的解码能力可以有不同的表示形式，以下是两种示例的表示形式，本领域人员可以构想其他适当的表示形式：
1)用解码能力指示符(decoding capability indicator)来表示。例如，可以将解码能力分为5个等级，用解码能力指示符1至5(或者A至E)来表示，5(或者E)表示解码能力最高，1(或者A)可以表示解码能力最低。再例如，可以使用解码能力指示符 1表示终端设备可支持并行检测算法(例如MPA，此时终端设备也可以支持例如SIC的串行检测算法)，使用解码能力指示符0表示终端设备仅支持串行检测算法(例如SIC)。
2)用具体数值参数表示。例如，该参数可以是终端设备中用于解码的计算资源，例如以GHz为单位。终端设备中用于解码的计算资源越多，则相应的解码能力越强；反之亦然。
在一个实施例中，终端设备可以初始地将自身的解码能力报告给基站(例如以RRC层信令的形式等)，以便于电子设备200获取并进行适当的终端设备分组、分组内的分级或资源分配。
在一个实施例中，对于下行链路数据传输，电子设备200(或检测信息收集单元215)可以被配置为从终端设备获取下行链路数据传输的检测信息，从而进行终端设备重分组、分组内资源重分配和数据检测方案更新中的至少一项。
虽然已经描述了对终端设备进行分组、确定数据检测方案和资源分配的预处理的各种实施例，但应理解的是，分组、确定数据检测方案和资源分配的具体方式并不限于这些实施例，例如预处理时可以使用常规方式确定数据检测方案(例如利用组内仅包含一个级别的并行检测算法)，资源分配可以随机进行或使用常规方式进行，等等。
以上结合图3A至图6详细描述了电子设备200的预处理单元205执行的具体示例性操作。预处理单元205在进行了终端设备分组和初始的资源分配以及在确定了初始的数据检测方案之后，需要将必要的相应信息的通知给各终端设备。例如，对于从终端设备到基站的上行链路数据传输，可以在进行了资源分配后向终端设备通知相应的资源分配结果，终端设备可以根据该资源分配结果进行上行链路数据传输。再例如，对于从基站到终端设备的下行链路数据传输，可以在进行了终端设备分组、资源分配和确定数据检测方案中的至少一项后向终端设备通知相应的终端设备分组结果、资源分配结果和数据检测方案中的所述至少一项。终端设备可以根据该资源分配结果接收下行链路数据，并根据数据检测方案结合所在分组中的其他终端设备的信息进行检测。需说明的是，以上关于预处理单元205详细描述的终端设备分组、确定数据检测方案和资源分配的原则和操作可以同样适用于更新单元210执行的终端设备重分组、数据检测方案更新和资源重分配。
以下结合图7至图9详细描述电子设备200的更新单元210执行的具体示例性操作。根据本公开的实施例，如以上所描述的，更新单元210例如可以被配置为基于数据传输的 检测信息进行终端设备重分组、分组内资源重分配和数据检测方案更新中的至少一项。根据本公开的实施例，检测信息可以包括例如检测误差信息和检测复杂度信息等。无线通信系统一般会对数据解码存在误码率或重传率(通过HARQ进行传输的重传次数的统计信息)的要求。在一个例子中，检测误差信息相应地可以包括通过数据检测方案进行检测时的误码率水平或重传率。在检测误差信息不满足误码率或重传率要求的情况下，可能需要对终端设备分组、组内资源分配和/或数据检测方案进行更新。在一些情况下，特别是对于下行链路传输的情况(由于是由处理能力有限的终端设备进行解码)，还需要考虑数据解码时的检测复杂度水平，并期望实际检测复杂度水平可以低于预定的检测复杂度阈值。在检测复杂度高于检测复杂度阈值的情况下，也可能需要对终端设备分组、组内资源分配和/或数据检测方案进行更新。检测复杂度信息可以包括通过数据检测方案进行检测时的检测复杂度水平。在一个例子中，检测复杂度水平可以通过解码出数据所花费的时间(也称解码延时)来表示，解码延时过大，可能影响无线通信系统的频谱效率。如前面指出的，针对上下行链路数据通信可以有分别的检测信息；而且，检测信息包括用于特定终端设备的检测信息(例如该终端设备的检测误差信息)、用于特定分组的检测信息(例如该分组内终端设备的平均检测误差信息)以及用于整个系统的检测信息(例如整个系统内终端设备的平均检测误差信息)。
根据一种示例性实施方式，除了执行的时机或条件不同之外，更新单元210执行的终端设备重分组、数据检测方案更新和资源重分配的操作例如可以与以上详细描述的预处理单元205执行的终端设备分组、确定数据检测方案和资源分配的原则和操作基本相同，在此不再重复具体的执行过程。关于执行的时机或条件，预处理单元205是在数据传输之前初始地执行相应的操作，而更新单元210是在数据传输过程中执行相应的更新操作组合。在数据传输过程中，更新单元210可以基于数据传输的检测信息执行更新操作的组合，更新操作组合可以包括终端设备重分组、分组内资源重分配和数据检测方案更新中的至少一项。以下结合图7描述根据本公开实施例的更新单元210的示例更新操作组合。
如图7所示，更新操作组合a可以仅包括组内资源重分配操作。例如在组内初始资源分配没有使组内同一级别的终端设备的数据流之间的资源重叠尽量小的情况下，可以执行更新操作组合a。通过组内资源重分配操作，可以使组内同一级别的终端设备的数据流之间的资源重叠减小，以及/或者使串行检测算法中检测顺序靠前的终端设备的数据流与检测顺序在其后的其他数据流的资源重叠减小。更新操作组合a可以不涉及数据检测方案更 新和终端设备重分组，仅调整分组内的终端设备的数据流之间的资源分配。图9示出了根据本公开实施例的执行更新操作组合a之前和之后的示例组内资源分配情况，其中更新操作组合a调整了第一级别中终端设备2的数据流的资源分配，以减小与第一级别的终端设备1的数据流之间的资源重叠。
如图7所示，更新操作组合b可以包括数据检测方案更新，并且根据具体情况还可能包括组内资源重分配。在一个例子中，更新操作组合b可以通过数据检测方案更新来调整分组内的各终端设备的数据流在串行检测算法中的检测顺序即检测级别(例如从而使各终端设备按照信道增益高低归入相应级别)，以及/或者调整串行检测算法中串行检测的级别数。接着，更新操作组合b还可以进行组内资源重分配，以使组内同一级别的终端设备的数据流之间的资源重叠减小，并且在一些情况下，还可以使得串行检测算法中检测顺序靠前的终端设备的数据流与检测顺序在其后的其他数据流的资源重叠减小。调整串行检测的级别数的示例可以参见图5B和图5C的示例检测操作，减少分组内检测级别的级别数(例如，将检测操作由图5B调整为图5C)可以改善检测性能，增大分组内检测级别的级别数(例如，将检测操作由图5C调整为图5D)可以降低检测复杂度。
如图7所示，更新操作组合c可以包括终端设备重分组、数据检测方案更新以及组内资源重分配。在一个例子中，更新操作组合c可以通过系统中的终端设备重分组，以增大分组内的终端设备的信道增益差异。例如，在随时间推移各终端设备的信道状态(例如信道增益)发生变化的情况下，可能需要进行重分组。接着，更新操作组合c可以通过数据检测方案更新来调整分组内的各终端设备的数据流在串行检测算法中的检测顺序，以及/或者调整串行检测算法中串行检测的级别数。随后，更新操作组合c还可以进行组内资源重分配，以使组内同一级别的终端设备的数据流之间的资源重叠减小，并且在一些情况下，还可以使得串行检测算法中检测顺序靠前的终端设备的数据流与检测顺序在其后的其他数据流的资源重叠减小。
不难发现，如图7所示的更新操作组合a-c的执行复杂度是依次递增的。更新操作组合a的复杂度最低，其可以仅执行组内资源重分配，而不进行终端设备重分组和数据检测方案更新。在进行更新操作组合a的情况下，对于上行链路数据传输，基站可以向被重新分配了资源的终端设备通知该终端设备的更新的映射矩阵V；对于下行链路数据传输，基站可以向各终端设备通知更新因子图矩阵F中的相应列。更新操作组合b的复杂度其次，其需要在现有分组中对终端设备重新分级，使得至少一个终端设备的级别得到调整，而且 在分级过程后还需要进行资源分配过程。在进行更新操作组合b的情况下，对于上行链路数据传输，作为数据传输接收方的基站需要根据重新分级情况更新分组内终端设备的检测顺序，并向被重新分配了资源的终端设备通知该终端设备的更新的映射矩阵V；对于下行链路数据传输，基站向分组内各终端设备通知其更新的串行检测级别并使各终端设备更新因子图矩阵F中的相应列。对于更新操作组合c，其终端设备重分组至少会使得两个分组中的终端设备发生分组变动，甚至还有可能对系统中的全部终端设备执行例如参照图4A或图4B描述的分组操作，而且在分组操作后还需要对进行了调整的分组进行组内重分级和组内资源重分配过程，因此更新操作组合c的复杂度最高。在进行更新操作组合c的情况下，对于上行链路数据传输，作为数据传输接收方的基站需要更新分组、分级情况并向被重新分配了资源的终端设备通知该终端设备的更新的映射矩阵V；对于下行链路数据传输，基站向各终端设备通知更新的分组、分级情况并使各终端设备更新因子图矩阵F。
在一个例子中，可以不执行图7更新操作b中的虚线框的组内资源重分配操作。例如，在调整检测顺序或串行检测的级别数之后，如果满足上述资源重叠尽量小的条件，则可以不需要进行组内资源重分配。可以将仅包括数据检测方案更新的更新操作组合记为更新操作组合b’。在进行更新操作组合b’的情况下，对于上行链路数据传输，仅涉及在基站处根据重新分级情况更新分组内终端设备的检测顺序；对于下行链路数据传输，仅涉及基站向各终端设备通知其更新的串行检测级别。从信令角度考虑，与更新操作组合a相比，更新操作组合b’的复杂度可能更低。虽然本公开的以下内容不失一般地更多描述更新操作组合a-c，但应理解更新操作组合b’也会出现，其地位与其他更新操作组合是同等的，并且由于其复杂度低，在一些情况下可以具有更高的执行优先级(例如在以下图8B中，在满足检测性能的情况下组合b’可以优先于组合a执行)。
考虑到不同更新操作组合的复杂度差异，可以通过不同的方式来控制执行复杂度适当的更新操作组合。所谓更新操作组合的“复杂度适当”即指通过该更新操作组合，可以满足无线通信系统的检测性能要求。在一个例子中，可以设定更新操作组合a-c的优先级依次递减。即，最优先执行组内资源重分配，其次优先执行数据检测方案更新，最次优先执行终端设备重分组。相应地，首先执行高优先级的更新操作组合，并且只有在较高优先级的更新操作组合无法满足检测性能要求时，才执行下一优先级的更新操作组合。在另一个例子中，考虑到主要是更新操作组合c的执行复杂度过高，可以在系统中设置不同的操作模式。例如，在模式1下，不允许执行操作c，仅可以执行操作a和b；在模式2下，允 许执行操作c，可以执行操作a-c。可以在模式1和模式2之间进行选择，并且可以仅在模式1无法满足检测性能要求时才启用模式2。
在一个实施例中，基于检测信息进行终端设备重分组、资源重分配和数据检测方案更新中的至少一项可以是周期性的。在另一个实施例中，基于检测信息进行终端设备重分组、资源重分配和数据检测方案更新中的至少一项可以是事件触发的，触发事件可以包括检测信息所反映的检测性能(如误码率、重传率等)不满足性能要求。例如，触发事件可以包括检测误差不满足误码率或重传率要求达第一预定持续时间和/或检测复杂度高于检测复杂度阈值达第二预定持续时间。
图8A和图8B示出了根据本公开实施例的按周期或根据触发事件来执行更新操作组合的示例方法的流程图。由于各终端设备的无线信道增益是随时间变化的，因此可能有必要按一定的周期来执行适当的更新操作组合。例如，考虑到不同更新操作组合的复杂度或优先级不同，可以为不同的更新操作组合预先设定相应的执行周期。例如，可以为更新操作组合b预先设定周期T1，为更新操作组合c预先设定周期T2，其中T1＜T2，即更新操作组合c的执行频率小于更新操作组合b的执行频率。图8A示出了根据本公开实施例的按周期执行更新操作组合的示例方法800的流程图。如图8A所示，根据方法800，在框805，无线通信系统正常运行。在框810，相对于运行开始时刻经过了时间T1。在框815，判断该经过的时间是否达到T2。如果否，则去往框820执行更新操作组合b，并返回框805继续系统运行；如果是，这可能出现在执行了几次框820中的更新操作组合b之后(取决于预先设定的T1和T2之间的关系)，则去往框825执行更新操作组合c，并返回框805，继续系统运行。此后，重复上述过程。虽然该流程图示出的是周期性执行更新操作组合b和c的示例性过程，但也可以以类似方式周期性执行更新操作组合a和b，更新操作组合a和c，或更新操作组合a、b和c。
在可以获得检测信息的情况下(包括用于特定终端设备的检测信息、用于特定分组的检测信息以及用于整个系统的检测信息)，也可以根据触发事件来执行适当的更新操作组合。检测信息可以包括检测误差信息，触发事件可以是例如基于检测误差信息所确定的检测性能不满足误码率或重传率要求。在一个例子中，触发事件可以是检测性能不满足误码率或重传率要求已达到预先设定的时间。图8B示出了根据本公开实施例的根据触发事件执行更新操作组合的示例方法850的流程图。需说明的是，图8B中的触发条件可以针对特定分组或整个系统的检测性能。如图8B所示，在开始时将变量B初始化为0，其中变量B用 于计数，其表示更新操作组合b执行的次数。在该示例中，为连续执行更新操作组合b预先设定一个次数，在变量B达到预定次数后，则通过执行较复杂的更新操作组合c来进行调整分组、资源分配和数据检测方案。如图8B所示，根据方法850，在框855，无线通信系统正常运行。在框860，(特定分组或整个系统的)检测性能不满足误码率或重传率要求已达到预定时间。在框865，判断分组内是否存在资源调整空间。分组内存在资源调整空间的情况是指例如分组内同一分级的终端设备的数据流之间存在较大资源重叠，并且该资源重叠可以通过调整减小。框865的判断如果为是，则去往框870执行更新操作组合a，并返回框855继续系统运行；如果为否，则去往框875执行更新操作组合b并将B取值加1，之后到达框880，继续系统运行。框880与框885的操作和框855与框860的操作相似。在框880与框885的操作之后，需要在框890判断变量B是否已达到预定次数。如果否，则返回框875，重复框875至890的操作。如果是，则去往框895，执行更新操作组合c并将B取值归0。之后返回框880，系统继续运行。
对于上行链路传输，由基站执行数据检测，因此电子设备200(或其检测信息收集单元215)更容易获得检测信息。对于下行链路传输，由各个终端设备执行数据检测并向基站报告检测信息，因此电子设备200(或其检测信息收集单元215)获得检测信息可能相对复杂。因此，如图8B所示的方法可能更适合于上行链路传输的场景。但是，该方法同样适用于下行链路传输的场景。
根据一个实施例，检测信息可以包括检测复杂度信息。数据检测方案更新可以包括在检测复杂度高于检测复杂度阈值的情况下增加终端设备分组内的终端设备级别数。
还存在根据触发事件执行更新操作组合的其他情况。例如，检测信息可以包括检测复杂度信息，触发事件可以是例如检测复杂度高于预先设定的阈值。在该情况下，为了降低检测复杂度，可以增加分组内串行检测的级别数，例如可以通过将此操作并入到更新操作组合b中来实现。
还需说明的是，更新操作的触发条件还可以针对特定终端设备的检测性能，例如，触发事件可以是特定终端设备的检测性能不满足误码率或重传率要求已达到预先设定的时间。根据本公开的实施例也可以针对该特定的终端设备进行更新操作。例如，首先可以通过更新操作组合a来调整组内资源分配。其次可以通过更新操作组合b来调整组内分级，例如在图5B中的终端设备3的检测性能不满足要求的情况下，可以将检测操作调整为图 5C中的分级，以减少级别数而提高检测性能。再次可以进行终端设备重分组，以增大该特定终端设备所在分组内的终端设备之间的信道增益差异性，例如可以特别地增大该特定终端设备与所在分组内其他终端设备之间的信道增益差异性。考虑系统中存在12个终端设备的情况，信道增益由高到低排序为[8,8,8,8,4,4,4,4,2,2,1,1]，初始分为两组均为[8,8,4,4,2,1]以满足信道增益尽量大。假设其中一个分组中信道增益为8的一个终端设备的检测性能不满足误码率需求，则需要调整该终端设备的分组，增大该终端设备与所在分组内其他终端设备的信道增益差异性。经过调整，先前检测性能不满足误码率需求的终端设备所在分组为[8,8,2,2,1,1]，另一个分组为[8,8,4,4,4,4]。
根据如图8B所示的执行更新操作组合的示例方法，可以看出，在对数据流的检测误差不满足误码率或重传率要求的情况下，执行更新操作可以包括执行以下至少之一：进行终端设备重分组，以增大分组内的终端设备的信道增益差异；进行数据检测方案更新，以调整分组内的各终端设备的数据流在串行检测算法中的检测顺序；进行数据检测方案更新，以调整串行检测算法中串行检测的级别数；进行分组内资源重分配，以使得串行检测算法中检测顺序靠前的终端设备的数据流与检测顺序在其后的其他数据流的资源重叠减小；以及进行分组内资源重分配，以使得同一分组内的同一级别的终端设备的数据流之间的资源重叠减小。根据一个实施例，检测信息可以包括检测误差信息，数据检测方案更新可以包括在系统平均检测误差不满足平均误码率要求的情况下减小分组内的级别数。在电子设备200的预处理单元205和更新单元210执行了相应的操作后，电子设备200可以将一些操作结果通知给各终端设备，以供终端设备使用。对于从终端设备到基站的上行链路数据传输，在进行资源分配和资源重分配后，电子设备200可以向终端设备通知相应的资源分配结果。对于从基站到终端设备的下行链路数据传输，在进行终端设备分组和重分组、资源分配和重分配以及确定和更新数据检测方案的至少一项后，电子设备200可以向终端设备通知相应的终端设备分组或重分组结果、资源分配或重分配结果以及确定或更新的数据检测方案中的至少一项。
如以上指出的，对于下行链路传输，由各个终端设备执行数据检测并向基站报告检测信息(例如检测误差信息和/或检测复杂度信息)，以便执行适当的更新操作组合。相应地，对于从基站到终端设备的下行链路数据传输，电子设备200可以被配置为从终端设备获取下行链路数据传输的检测信息以进行终端设备重分组、分组内资源重分配和数据检测方案更新中的至少一项。
以下结合图10描述根据本公开实施例的用于无线通信系统的另一示例电子设备。在一个示例应用中，电子设备1000可以用于模式域多址接入系统的下行链路数据传输(此时，电子设备1000也可以具备上行链路数据传输功能)。如图10所示，在一个实施例中，电子设备1000可以包括获取单元1005。下面介绍电子设备1000及其单元实现的操作或功能。
在一个实施例中，获取单元1005可以被配置为获得终端设备分组结果，该终端设备分组结果是基于终端设备信息针对数据传输而被确定的。其中，同一分组内的终端设备的多个数据流通过模式域多址接入进行资源复用。获取单元1005可以还被配置为获得终端设备重分组结果、资源重分配结果和更新的数据检测方案中的至少一项，所述终端设备重分组结果、资源重分配结果和更新的数据检测方案中的至少一项是基于数据传输的检测信息而被确定的。其中，数据检测方案用于所述电子设备基于串行检测算法对接收到的接收数据进行解码。
需指出的是，根据本公开的实施例，以上的终端设备分组结果以及终端设备重分组结果、资源重分配结果和更新的数据检测方案中的至少一项可以是由电子设备200根据本文以上详细描述的实施例生成的。在一个例子中，获取单元1005可以从基站获得这些结果。
此外，在一个例子中，获取单元1005可以还被配置为从基站获得初始的数据检测方案。基站确定该数据检测方案包括：对分组内的终端设备进行分级，使得至少一个级别包括两个或更多个终端设备。其中，不同级别的终端设备通过串行检测算法进行检测，同一级别的两个或更多个终端设备通过并行检测算法进行检测。
在一个例子中，获取单元1005可以还被配置为从基站获得初始的分组内资源分配结果，该资源分配结果使同一级别的终端设备的数据流之间的资源重叠尽量小。
根据进一步的实施例，电子设备1000还可以包括报告单元1015。报告单元1015可以被配置为向基站报告检测信息，用于基站进行的终端设备重分组、分组内资源重分配和数据检测方案更新中的至少一项。如前面描述的，检测信息可以包括检测误差信息(误码率或重传率)和检测复杂度信息。
根据本公开的实施例，电子设备1000可以通过以下的示例方式确定检测信息。在一个实施例中，基站可以向电子设备1000发送专用的参考信号或导频或者任何的已知序列。由参考信号或导频或其他序列对于电子设备1000是已知的，因此电子设备1000在接收并对其检测后，可以确定检测误差信息。在一个示例中，参考信号或导频或者任何的已知序 列可以对于各个终端设备均相同。在另一个实施例中，电子设备1000可以根据实际的下行链路数据传输确定检测信息，例如基于信道编解码进行估计。在实际的下行链路数据传输过程中，电子设备1000可以进行信道解码。由于信道编解码可以检测或者纠正错误比特，因此电子设备1000可以估计数据检测的误差。具体地，对于检错码，如奇偶校验码、循环冗余码等，可以检测出发生错误的比特数，从而确定检测误差；对于纠错码，如LDPC、Turbo码等，可以对比信道解码的输入和输出，以得到纠正的错误比特数，从而估计出数据检测的误差。在这两个实施例中，电子设备1000也可以确定检测复杂度信息，例如由检测时延表示。
需说明的是，报告单元1015可以被配置为按周期或根据触发条件来向基站报告检测信息，或两者兼而有之。对于周期性报告，报告单元1015可以每隔一定的周期向基站反馈检测信息，该周期可以为固定值，例如10ms。在SCMA系统中，该周期也可以与映射矩阵或星座图的有效期有关，例如该周期为映射矩阵或星座图有效期的1/4等等。对于根据触发条件的报告，报告单元1015可以例如在误码率超过一定阈值(例如10 -3)时向基站反馈检测误差。
根据一个实施例，报告单元1015可以还被配置为向基站报告终端设备的解码能力。关于终端设备的解码能力可以参见上文的相关描述，不再在此重复。
在一个实施例中，图10中的电子设备1000例如可以是图1A和图1B中的终端设备或终端设备的一部分。电子设备1000可以基于终端设备分组结果、资源分配结果和数据检测方案中的至少一项来对接收数据进行解码。电子设备1000可以还基于终端设备重分组结果、资源重分配结果和更新的数据检测方案中的至少一项来对接收数据进行解码。电子设备1000可以执行前述实施例中终端设备进行的任何操作。电子设备1000可以被配置为基于终端设备重分组结果、资源重分配结果和更新的数据检测方案中的至少一项对从基站接收到的接收数据进行解码。
获取单元1005和报告单元1015中的一个或多个可以通过处理电路来实现。此处，处理电路可以指在计算系统中执行功能的数字电路系统、模拟电路系统或混合信号(模拟和数字的组合)电路系统的各种实现。处理元件可以包括例如诸如集成电路(IC)、ASIC(专用集成电路)这样的电路、单独处理器核心的部分或电路、整个处理器核心、单独的处理器、诸如现场可编程门阵列(FPGA)的可编程硬件设备、和/或包括多个处理器的系统。
可以理解，电子设备1000可以以芯片级来实现，或者也可以通过包括其他外部部件而以设备级来实现。例如，电子设备1000可以作为整机而工作为通信设备。
还应理解，上述各个单元仅是根据其所实现的具体功能划分的逻辑功能模块，而不是用于限制具体的实现方式。在实际实现时，上述各个功能单元可被实现为独立的物理实体，或者也可由单个实体(例如，处理器(CPU或DSP等)、集成电路等)来实现。
本公开的实施例还涉及用于无线通信系统的再一个电子设备，其可以用于模式域多址接入系统的上行链路数据传输(此时，该电子设备也可以具备下行链路数据传输功能)。根据一个实施例，该电子设备可以被配置为获取资源分配结果以及资源重分配结果，从而在对应的传输资源上进行上行链路数据传输。
图11A示出了根据本公开实施例的用于通信的示例方法。如图11A所示，方法1100A可以包括基于终端设备信息针对数据传输进行终端设备分组(框1105)，其中同一分组内的终端设备的多个数据流通过模式域多址接入进行资源复用。该方法1100A还包括基于数据传输的检测信息进行终端设备重分组、分组内资源重分配和数据检测方案更新中的至少一项(框1110)，其中数据检测方案用于基于串行检测算法对接收数据进行解码。该方法的详细示例操作可以参考上文关于电子设备200所执行的操作和功能的描述，不再在此重复。
图11B示出了根据本公开实施例的用于通信的另一示例方法。如图11B所示，方法1100B可以包括获得终端设备分组结果(框1150)，该终端设备分组结果是基于终端设备信息针对数据传输而被确定的，其中同一分组内的终端设备的多个数据流通过模式域多址接入进行资源复用。该方法1100B还可以包括获得终端设备重分组结果、资源重分配结果和更新的数据检测方案中的至少一项(框1155)，该终端设备重分组结果、资源重分配结果和更新的数据检测方案中的至少一项是基于数据传输的检测信息而被确定的，其中数据检测方案用于基于串行检测算法对接收到的接收数据进行解码。该方法的详细示例操作可以参考上文关于电子设备1000所执行的操作和功能的描述，不再在此重复。
为了进一步有利于理解上述根据本公开实施例的各种操作，下面将参照图12A和图12B具体描述基站与终端设备之间的信令交互过程。
图12A示出根据本公开实施例的用于上行链路数据传输的基站与终端设备之间的示例信令交互过程。具体地，在S1，各终端设备可以被配置为向基站发送上行链路参考信号， 并且还可以被配置为向基站报告上行链路传输需求，例如以调度请求SR或缓冲器状态报告BSR的形式。相应地，在S3，基站可以被配置为接收来自各终端设备的上行链路参考信号和上行链路传输需求，并基于接收到的上行链路参考信号进行信道估计，从而获得各终端设备的上行链路信道状态信息。在S5，基站可以被配置为基于终端设备信息(例如上行链路信道状态信息)针对上行链路数据传输进行终端设备分组。在S7，基站可以被配置为针对上行链路数据传输确定数据检测方案；该数据检测方案可以不限于本文所描述的检测方案，在一个例子中，该数据检测方案可以是根据本公开实施例的基于串行检测算法的数据检测方案。在S11，基站可以被配置为进行组内资源分配并向各终端设备通知资源分配结果；基站在S11中可以进行任何形式的组内资源分配，在一个例子中，基站在S11中可以进行根据本公开实施例的组内资源分配。此处的资源分配结果可以包括便于终端设备进行上行链路数据传输的信息。在采用SCMA的例子中，此处的资源分配结果包括目标终端设备自身的映射矩阵V和星座图。在S13，各终端设备可以被配置为获取各自的资源分配结果，以便于发送上行链路数据。
随后，在S15，各终端设备可以被配置为进行数据调制、根据资源分配结果进行资源映射并进行信号传输。接着，在S17，基站可以被配置为接收来自各终端设备的信号，并基于S7中的数据检测方案进行数据解码。在S19，基站可以被配置为针对上行链路数据传输在本地收集上行链路检测信息(例如包括检测误差和检测复杂度等信息)。在S21，基站可以被配置为基于检测信息或者基于周期性来执行根据本公开实施例的适当的更新操作组合(例如更新操作组合a至c以及b’)，并在进行了组内资源重分配的情况下向各终端设备再次通知资源分配结果。在S23和S25，各终端设备可以被配置为获取各自的资源分配结果，进行数据调制、根据资源分配结果进行资源映射以及进行信号传输。之后，在S27，基站可以被配置为接收来自各终端设备的信号，并基于S21中的更新的数据检测方案进行数据解码。此后，基站和各终端设备可以被配置为执行S19至S27的过程。在S21中执行的更新操作组合可以是组合a-c以及b’中的任一个。此处的资源分配结果仍然可以包括便于终端设备进行上行链路数据传输的信息。在采用SCMA的例子中，在执行组合a-c中任一个的情况下，基站需要通知的资源分配结果即更新的映射矩阵V和星座图。在执行组合b’的情况下，由于没有发生组内资源重分配，则可以不需要任何通知(也不需要S23及以后的操作)，在S21之后基站只需按更新的顺序进行检测解码即可。可以理解，在一个例子中，基站可以优先尝试更新操作组合b’，在不满足检测性能的情况下才尝试其他更新操 作组合。例如，在图8B中，可以在步骤865之前尝试执行更新操作组合b’。
应当理解，图12A仅为用于上行链路数据传输的基站与终端设备之间的信令交互过程的例子，本领域技术认为可以在本公开的范围内构想出其他例子，例如增加其他已知的步骤、对图11中的步骤进行合并、删除、调换顺序等等。
图12B示出根据本公开实施例的用于下行链路数据传输的基站与终端设备之间的示例信令交互过程。具体地，在S2，基站可以被配置为向各终端设备发送下行链路参考信号。相应地，在S4，各终端设备可以被配置为接收来自基站的下行链路参考信号，并基于接收到的下行链路参考信号进行信道估计，从而获得各自的下行链路信道状态信息。在S6，各终端设备可以被配置为向基站报告下行链路信道状态信息和各自的解码能力。在S8，基站可以被配置为基于终端设备信息(例如下行链路信道状态信息)针对下行链路数据传输进行终端设备分组。在S10，基站可以被配置为针对下行链路数据传输确定数据检测方案；该数据检测方案可以不限于本文所描述的检测方案，在一个例子中，该数据检测方案可以是根据本公开实施例的基于串行检测算法的数据检测方案。在S12，基站可以被配置为进行组内资源分配并向各终端设备通知资源分配结果和数据检测方案。S12涉及的通知可以仅向目标终端设备通知其进行传输数据检测所需的必要信息。例如，向目标终端设备的通知可以至少包括同一分组内目标终端设备所在级别和在前级别的终端设备的资源分配结果，即不通知在后级别的终端设备的资源分配结果，从而减小信令消耗。在采用图5B或图5C的检测方案进行SCMA解码的情况下，向目标终端设备的通知可以仅包括目标终端设备所在SIC级别和在前级别的终端设备的因子图矩阵F和星座图、SIC级别的划分、目标终端设备自身的映射矩阵V(对应于F中的某一列)和星座图，其中可隐式地通知目标终端设备自身的SIC级别，即通知的最后一级。与传统SCMA的MPA解码相比，上述方法由于不通知在后级别的终端设备的资源分配结果，因此信令消耗减小。当然为了便于后续更新操作之后的调整，也可以将整个分组中所有终端的因子图矩阵F和星座图以及目标终端的SIC级别通知给目标终端设备。基站在S12中可以进行任何形式的组内资源分配，在一个例子中，基站在S12中可以进行根据本公开实施例的组内资源分配。在S14，各终端设备可以被配置为获取各自的资源分配结果和数据检测方案，以便于接收和解码下行链路数据。
随后，在S16，基站可以被配置为进行数据调制、根据资源分配结果进行资源映射并进行信号传输。接着，在S18，各终端设备可以被配置为接收来自基站的信号，并基于S10中的数据检测方案进行数据解码。在S20，各终端设备可以被配置为向基站反馈下行链路 检测信息(例如包括检测误差和检测复杂度等信息)。相应地，在S22，基站可以被配置为收集来自各终端设备的下行链路检测信息。在S24，基站可以被配置为基于检测信息或者基于周期性来执行根据本公开实施例的适当的更新操作组合(例如更新操作组合a至c)，并在进行了相应的更新操作(例如终端设备重分组、组内资源重分配、更新数据检测方案中的至少一项)后，向各终端设备通知相应的更新结果。与S12类似，S24涉及的通知可以仅向目标终端设备通知其进行传输数据检测所需的必要更新信息。例如，向目标终端设备的通知可以至少包括同一分组内目标终端设备所在级别和在前级别的终端设备的更新结果，即不通知在后级别的终端设备的更新结果，从而减小信令消耗。在采用图5B或图5C的检测方案进行SCMA解码的情况下，在执行更新操作a的情况下，通知的内容可以包括更新的目标终端设备所在SIC级别和在前级别的终端设备的因子图矩阵F和星座图。此时，由于不涉及级别更新，因此各终端设备在因子图F中的所在列不变。在执行更新操作组合b或c的情况下，所涉及的通知内容可以与S12的相同。在执行更新操作组合b’的情况下，则只需通知目标终端其所在级别更新后的级别。在S26，各终端设备可以被配置为获取更新结果。在S28，基站可以被配置为进行数据调制、根据资源分配结果(如果在S24中更新了资源分配，则为在S24中更新的；否则为在S12中确定的)进行资源映射以及进行信号传输。之后，在S30，各终端设备可以被配置为接收来自基站的信号，并基于数据检测方案(如果在S24中更新了资源分配，则为在S24中更新的；否则为在S10中确定的)进行数据解码。此后，基站和各终端设备可以被配置为执行S20至S30的过程。
应当理解，图12B仅为用于下行链路数据传输的基站与终端设备之间的信令交互过程的例子，本领域技术认为可以在本公开的范围内构想出其他例子，例如增加其他已知的步骤、对图11中的步骤进行合并、删除、调换顺序等等。
从图12A和图12B的示例可以看出，在上下行链路数据传输中，基站与终端设备之间的信令交互过程可以存在差异。该差异主要在于：对于下行链路数据传输，由于由各个终端设备执行数据检测，因此一方面，基站需要在确定了数据检测所需的信息(例如终端设备分组、目标终端设备解码所需的其他终端设备的资源分配、数据检测方案)后将其通知给各终端设备；另一方面，为了使基站能够进行适当的确定/更新操作，各终端设备需要向基站报告其解码能力和下行链路检测信息。
以上结合图1A至图12B在蜂窝移动通信架构的上下文中详细描述了本公开的实施例的各个方面。然而，本公开的发明性构思并不限于应用在蜂窝移动通信架构中。例如，可 以在认知无线电系统中应用该发明性构思，如以下具体描述的。
通常，认知无线电系统包括例如主系统和次系统。主系统是具有合法频谱使用权的系统，例如雷达系统。主系统中可以有多个用户，即主用户。次系统可以是没有频谱使用权而只能在主系统不使用该频谱时适当地使用该频谱进行通信的系统，例如民用通信系统。次系统中可以有多个用户，即次用户。可替选地，次系统也可以是具有频谱使用权的系统，但是在频谱使用上具有比主系统低的优先级别。例如，在运营商在部署新的基站以提供新服务的情况下，已有基站已经提供的服务被作为主系统而具有频谱使用优先权。在另一个替选的示例中，不存在主系统，各个次系统对特定频谱均只有机会性的使用权，例如一些尚未被法规指定给某一类通信系统使用的频谱资源可以作为各种通信系统的未授权频谱而被机会性使用。
这种主次系统共存的通信方式要求次系统的通信不会不利地影响主系统的通信，或者说次系统的频谱利用所造成的影响可以被控制在主系统容许的范围内(即不超过其干扰门限)。在保证对主系统的干扰在一定范围内的情况下，可以对多个次系统分配可用的主系统资源。
目前对主系统保护的一种最主要的方式就是将主系统的覆盖信息存放在数据库中。这个数据库还存储有主系统所能容许的干扰界限。同一区域内的次系统在开始利用同一区域内的主系统的频谱之前首先要访问该数据库并提交次系统的状态信息，例如位置信息、频谱发射模板(spectrum emission mask)、传输带宽和载波频率等等。然后，数据库根据次系统的状态信息计算次系统对主系统的干扰量，并且根据所计算的当前状态下的次系统对主系统的干扰量来计算当前状态下的次系统的预计可用频谱资源。
其中，数据库和次系统之间可以设置有频谱协调器，用于协调多个次系统对预计可用频谱资源的利用，以优化频谱使用效率，避免次系统之间的干扰。根据系统设计，也可以通过单个实体实现数据库和频谱协调器这两者。可以理解，在没有主系统的示例中，可以省略数据库而仅设置频谱协调器。
在一个例子中，当在次系统中存在多个次用户设备与一个次用户设备的通信时(例如通过D2D(设备对设备)、V2V(车对车)等方式)，可以针对多个次用户设备到一个次用户设备以及/或者一个次用户设备到多个次用户设备的通信应用根据本公开的方法。在该例子中，可以由频谱协调器对次用户设备的数据传输进行控制，并进行根据本公开的与分组、 资源分配和数据检测方案相关的处理。例如，多个次用户设备到一个次用户设备的通信可以对应于上行链路数据传输，一个次用户设备到多个次用户设备的通信可以对应于下行链路数据传输。多个次用户设备总体可以使用一定范围的未授权频谱，并被分为多个分组。每个分组被分配未授权频谱的一个子集，使得不同分组之间的未授权频谱正交。同一分组的多个次用户设备复用该组的未授权频谱并通过模式域多址接入(例如SCMA、PDMA)进行通信，从而提高频谱利用率。在该例子中，可以由频谱协调器实现根据本公开的与分组、资源分配和数据检测方案相关的处理，其收集次用户设备的信道状态信息、检测信息等，并将相应处理结果通知给次用户设备。在这个意义上，频谱协调器可以实现上述基站的一部分功能，但是频谱协调器不作为数据传输的收发任意一方，只是实现控制功能。在作为数据传输的发方或收方以及对多个次用户设备的数据进行检测的意义上，其中的多个次用户设备可以对应于上述终端设备，其中的一个次用户设备可以对应于上述基站，并且它们均需要将信道状态信息、检测信息等报告给频谱协调器，以便于频谱协调器实现控制功能。
在一个例子中，蜂窝移动通信系统中的各终端设备可以作为次用户进行操作，从而组成次系统，以例如对未授权的或者具有较低使用优先级的频谱进行机会性使用。此时，可以通过基站实现数据库和频谱协调器。图13示出了如何将本公开的方法应用于该认知无线电通信场景的例子。在图13的例子中，终端设备之间例如可以通过D2D的方式进行通信，终端设备131至136具有共同的通信对象，即终端设备137。相应地，可以具有从终端设备131至136到终端设备137的数据传输以及/或者从终端设备137到终端设备131至136的数据传输。其中，终端设备131至136到终端设备137的通信可以对应于上行链路数据传输，终端设备137到终端设备131至136的通信可以对应于下行链路数据传输。多个终端设备总体可以使用一定范围的未授权或具有较低使用优先级的频谱，并分为多个分组，每个分组被分配该频谱的一个子集，使得不同分组之间的频谱正交，同一分组的多个终端设备复用该组的未授权频谱并通过模式域多址接入(例如SCMA、PDMA)进行通信。在该例子中，可以由充当频谱协调器的基站138实现根据本公开的与分组、资源分配和数据检测方案相关的处理，其收集终端设备的信道状态信息、检测信息等，并将相应处理结果通知给终端设备。此处的基站138与前述基站(例如105)的共同之处在于均实现控制功能，但是基站138不是数据传输的收发任意一方。在作为数据传输的发方或收方以及对多终端设备的数据进行检测的意义上，其中的终端设备可以131-136对应于前述终端设备，其中的终端设备137可以对应于前述基站105，它们均需要将信道状态信息、检测信息等报告 给基站138。
在其他的例子中，本公开的方法可以应用于诸如符合IEEE P802.19.1a标准的系统和频谱访问系统(Spectrum Access System，SAS)等的认知无线电系统。在获得本公开的示教的情况下，本领域技术人员可以容易地将本公开的与分组、资源分配和数据检测方案相关的处理与这些认知无线电系统结合使用，而不脱离本公开的范围。例如，本公开中的基站的分组、资源分配功能实体实现为IEEE P802.19.1a标准中的共存管理器(coexistence managers(CMs))，本公开中的终端设备或者基站的数据发射、检测功能实体实现为IEEE P802.19.1a标准中的地理位置能力对象Geolocation Capability Object(GCO)。又例如，本公开中的基站的分组、资源分配功能实体实现为SAS系统中SAS资源管理实体，本公开中的终端设备或者基站的数据发射、检测功能实体实现为SAS系统中的公民宽带无线服务用户(Citizens Broadband Radio Service Device,CBSD)。应当理解，根据本公开的实施例的存储介质和程序产品中的机器可执行指令还可以被配置为执行与上述装置实施例相对应的方法，因此在此未详细描述的内容可参考先前相应位置的描述，在此不再重复进行描述。
相应地，用于承载上述包括机器可执行指令的程序产品的存储介质也包括在本发明的公开中。该存储介质包括但不限于软盘、光盘、磁光盘、存储卡、存储棒等等。
另外，还应该指出的是，上述系列处理和设备也可以通过软件和/或固件实现。在通过软件和/或固件实现的情况下，从存储介质或网络向具有专用硬件结构的计算机，例如图14所示的通用个人计算机1300安装构成该软件的程序，该计算机在安装有各种程序时，能够执行各种功能等等。图14是示出作为本公开的实施例中可采用的信息处理设备的个人计算机的示例结构的框图。
在图14中，中央处理单元(CPU)1301根据只读存储器(ROM)1302中存储的程序或从存储部分1308加载到随机存取存储器(RAM)1303的程序执行各种处理。在RAM1303中，也根据需要存储当CPU 1301执行各种处理等时所需的数据。
CPU 1301、ROM 1302和RAM 1303经由总线1304彼此连接。输入/输出接口1305也连接到总线1304。
下述部件连接到输入/输出接口1305：输入部分1306，包括键盘、鼠标等；输出部分1307，包括显示器，比如阴极射线管(CRT)、液晶显示器(LCD)等，和扬声器等；存 储部分1308，包括硬盘等；和通信部分1309，包括网络接口卡比如LAN卡、调制解调器等。通信部分1309经由网络比如因特网执行通信处理。
根据需要，驱动器1310也连接到输入/输出接口1305。可拆卸介质1311比如磁盘、光盘、磁光盘、半导体存储器等等根据需要被安装在驱动器1310上，使得从中读出的计算机程序根据需要被安装到存储部分1308中。
在通过软件实现上述系列处理的情况下，从网络比如因特网或存储介质比如可拆卸介质1311安装构成软件的程序。
本领域技术人员应当理解，这种存储介质不局限于图14所示的其中存储有程序、与设备相分离地分发以向用户提供程序的可拆卸介质1311。可拆卸介质1311的例子包含磁盘(包含软盘(注册商标))、光盘(包含光盘只读存储器(CD-ROM)和数字通用盘(DVD))、磁光盘(包含迷你盘(MD)(注册商标))和半导体存储器。或者，存储介质可以是ROM 1302、存储部分1308中包含的硬盘等等，其中存有程序，并且与包含它们的设备一起被分发给用户。
本公开的技术能够应用于各种产品。例如，本公开中提到的基站可以被实现为任何类型的演进型节点B(eNB)，诸如宏eNB和小eNB。小eNB可以为覆盖比宏小区小的小区的eNB，诸如微微eNB、微eNB和家庭(毫微微)eNB。代替地，基站可以被实现为任何其他类型的基站，诸如NodeB和基站收发台(Base Transceiver Station，BTS)。基站可以包括：被配置为控制无线通信的主体(也称为基站设备)；以及设置在与主体不同的地方的一个或多个远程无线头端(Remote Radio Head，RRH)。另外，下面将描述的各种类型的终端均可以通过暂时地或半持久性地执行基站功能而作为基站工作。
例如，本公开中提到的终端设备在一些示例中也称为用户设备，可以被实现为移动终端(诸如智能电话、平板个人计算机(PC)、笔记本式PC、便携式游戏终端、便携式/加密狗型移动路由器和数字摄像装置)或者车载终端(诸如汽车导航设备)。用户设备还可以被实现为执行机器对机器(M2M)通信的终端(也称为机器类型通信(MTC)终端)。此外，用户设备可以为安装在上述终端中的每个终端上的无线通信模块(诸如包括单个晶片的集成电路模块)。
以下将参照图15至图18描述根据本公开的应用示例。
[关于基站的应用示例]
应当理解，本公开中的基站一词具有其通常含义的全部广度，并且至少包括被用于作为无线通信系统或无线电系统的一部分以便于通信的无线通信站。基站的例子可以例如是但不限于以下：基站可以是GSM系统中的基站收发信机(BTS)和基站控制器(BSC)中的一者或两者，可以是WCDMA系统中的无线电网络控制器(RNC)和Node B中的一者或两者，可以是LTE和LTE-Advanced系统中的eNB，或者可以是未来通信系统中对应的网络节点(例如可能在5G通信系统中出现的gNB，等等)。本公开的基站中的部分功能也可以实现为在D2D、M2M以及V2V通信场景下对通信具有控制功能的实体，或者实现为在认知无线电通信场景下起频谱协调作用的实体。
第一应用示例
图15是示出可以应用本公开内容的技术的eNB的示意性配置的第一示例的框图。eNB 1400包括多个天线1410以及基站设备1420。基站设备1420和每个天线1410可以经由RF线缆彼此连接。在一种实现方式中，此处的eNB 1400(或基站设备1420)可以对应于上述电子设备200。
天线1410中的每一个均包括单个或多个天线元件(诸如包括在多输入多输出(MIMO)天线中的多个天线元件)，并且用于基站设备1420发送和接收无线信号。如图15所示，eNB 1400可以包括多个天线1410。例如，多个天线1410可以与eNB 1400使用的多个频段兼容。
基站设备1420包括控制器1421、存储器1422、网络接口1423以及无线通信接口1425。
控制器1421可以为例如CPU或DSP，并且操作基站设备1420的较高层的各种功能。例如，控制器1421根据由无线通信接口1425处理的信号中的数据来生成数据分组，并经由网络接口1423来传递所生成的分组。控制器1421可以对来自多个基带处理器的数据进行捆绑以生成捆绑分组，并传递所生成的捆绑分组。控制器1421可以具有执行如下控制的逻辑功能：该控制诸如为无线资源控制、无线承载控制、移动性管理、接纳控制和调度。该控制可以结合附近的eNB或核心网节点来执行。存储器1422包括RAM和ROM，并且存储由控制器1421执行的程序和各种类型的控制数据(诸如终端列表、传输功率数据以及调度数据)。
网络接口1423为用于将基站设备1420连接至核心网1424的通信接口。控制器1421 可以经由网络接口1423而与核心网节点或另外的eNB进行通信。在此情况下，eNB 1400与核心网节点或其他eNB可以通过逻辑接口(诸如S1接口和X2接口)而彼此连接。网络接口1423还可以为有线通信接口或用于无线回程线路的无线通信接口。如果网络接口1423为无线通信接口，则与由无线通信接口1425使用的频段相比，网络接口1423可以使用较高频段用于无线通信。
无线通信接口1425支持任何蜂窝通信方案(诸如长期演进(LTE)和LTE-先进)，并且经由天线1410来提供到位于eNB 1400的小区中的终端的无线连接。无线通信接口1425通常可以包括例如基带(BB)处理器1426和RF电路1427。BB处理器1426可以执行例如编码/解码、调制/解调以及复用/解复用，并且执行层(例如L1、介质访问控制(MAC)、无线链路控制(RLC)和分组数据汇聚协议(PDCP))的各种类型的信号处理。代替控制器1421，BB处理器1426可以具有上述逻辑功能的一部分或全部。BB处理器1426可以为存储通信控制程序的存储器，或者为包括被配置为执行程序的处理器和相关电路的模块。更新程序可以使BB处理器1426的功能改变。该模块可以为插入到基站设备1420的槽中的卡或刀片。可替代地，该模块也可以为安装在卡或刀片上的芯片。同时，RF电路1427可以包括例如混频器、滤波器和放大器，并且经由天线1410来传送和接收无线信号。虽然图15示出一个RF电路1427与一根天线1410连接的示例，但是本公开并不限于该图示，而是一个RF电路1427可以同时连接多根天线1410。
如图15所示，无线通信接口1425可以包括多个BB处理器1426。例如，多个BB处理器1426可以与eNB 1400使用的多个频段兼容。如图15所示，无线通信接口1425可以包括多个RF电路1427。例如，多个RF电路1427可以与多个天线元件兼容。虽然图15示出其中无线通信接口1425包括多个BB处理器1426和多个RF电路1427的示例，但是无线通信接口1425也可以包括单个BB处理器1426或单个RF电路1427。
第二应用示例
图16是示出可以应用本公开内容的技术的eNB的示意性配置的第二示例的框图。eNB 1530包括多个天线1540、基站设备1550和RRH 1560。RRH 1560和每个天线1540可以经由RF线缆而彼此连接。基站设备1550和RRH 1560可以经由诸如光纤线缆的高速线路而彼此连接。在一种实现方式中，此处的eNB 1530(或基站设备1550)可以对应于上述电子设备200。
天线1540中的每一个均包括单个或多个天线元件(诸如包括在MIMO天线中的多个天线元件)并且用于RRH 1560发送和接收无线信号。如图16所示，eNB 1530可以包括多个天线1540。例如，多个天线1540可以与eNB 1530使用的多个频段兼容。
基站设备1550包括控制器1551、存储器1552、网络接口1553、无线通信接口1555以及连接接口1557。控制器1551、存储器1552和网络接口1553与参照图15描述的控制器1421、存储器1422和网络接口1423相同。
无线通信接口1555支持任何蜂窝通信方案(诸如LTE和LTE-先进)，并且经由RRH1560和天线1540来提供到位于与RRH 1560对应的扇区中的终端的无线通信。无线通信接口1555通常可以包括例如BB处理器1556。除了BB处理器1556经由连接接口1557连接到RRH 1560的RF电路1564之外，BB处理器1556与参照图15描述的BB处理器1426相同。如图16所示，无线通信接口1555可以包括多个BB处理器1556。例如，多个BB处理器1556可以与eNB 1530使用的多个频段兼容。虽然图16示出其中无线通信接口1555包括多个BB处理器1556的示例，但是无线通信接口1555也可以包括单个BB处理器1556。
连接接口1557为用于将基站设备1550(无线通信接口1555)连接至RRH 1560的接口。连接接口1557还可以为用于将基站设备1550(无线通信接口1555)连接至RRH 1560的上述高速线路中的通信的通信模块。
RRH 1560包括连接接口1561和无线通信接口1563。
连接接口1561为用于将RRH 1560(无线通信接口1563)连接至基站设备1550的接口。连接接口1561还可以为用于上述高速线路中的通信的通信模块。
无线通信接口1563经由天线1540来传送和接收无线信号。无线通信接口1563通常可以包括例如RF电路1564。RF电路1564可以包括例如混频器、滤波器和放大器，并且经由天线1540来传送和接收无线信号。虽然图16示出一个RF电路1564与一根天线1540连接的示例，但是本公开并不限于该图示，而是一个RF电路1564可以同时连接多根天线1540。
如图16所示，无线通信接口1563可以包括多个RF电路1564。例如，多个RF电路1564可以支持多个天线元件。虽然图16示出其中无线通信接口1563包括多个RF电路1564的示例，但是无线通信接口1563也可以包括单个RF电路1564。
[关于用户设备的应用示例]
第一应用示例
图17是示出可以应用本公开内容的技术的智能电话1600的示意性配置的示例的框图。智能电话1600包括处理器1601、存储器1602、存储装置1603、外部连接接口1604、摄像装置1606、传感器1607、麦克风1608、输入装置1609、显示装置1610、扬声器1611、无线通信接口1612、一个或多个天线开关1615、一个或多个天线1616、总线1617、电池1618以及辅助控制器1619。在一种实现方式中，此处的智能电话1600(或处理器1601)可以对应于上述电子设备1000。
处理器1601可以为例如CPU或片上系统(SoC)，并且控制智能电话1600的应用层和另外层的功能。存储器1602包括RAM和ROM，并且存储数据和由处理器1601执行的程序。存储装置1603可以包括存储介质，诸如半导体存储器和硬盘。外部连接接口1604为用于将外部装置(诸如存储卡和通用串行总线(USB)装置)连接至智能电话1600的接口。
摄像装置1606包括图像传感器(诸如电荷耦合器件(CCD)和互补金属氧化物半导体(CMOS))，并且生成捕获图像。传感器1607可以包括一组传感器，诸如测量传感器、陀螺仪传感器、地磁传感器和加速度传感器。麦克风1608将输入到智能电话1600的声音转换为音频信号。输入装置1609包括例如被配置为检测显示装置1610的屏幕上的触摸的触摸传感器、小键盘、键盘、按钮或开关，并且接收从用户输入的操作或信息。显示装置1610包括屏幕(诸如液晶显示器(LCD)和有机发光二极管(OLED)显示器)，并且显示智能电话1600的输出图像。扬声器1611将从智能电话1600输出的音频信号转换为声音。
无线通信接口1612支持任何蜂窝通信方案(诸如LTE和LTE-先进)，并且执行无线通信。无线通信接口1612通常可以包括例如BB处理器1613和RF电路1614。BB处理器1613可以执行例如编码/解码、调制/解调以及复用/解复用，并且执行用于无线通信的各种类型的信号处理。同时，RF电路1614可以包括例如混频器、滤波器和放大器，并且经由天线1616来传送和接收无线信号。无线通信接口1612可以为其上集成有BB处理器1613和RF电路1614的一个芯片模块。如图17所示，无线通信接口1612可以包括多个BB处理器1613和多个RF电路1614。虽然图17示出其中无线通信接口1612包括多个BB处理器1613和多个RF电路1614的示例，但是无线通信接口1612也可以包括单个BB处理器1613或单个RF电路1614。
此外，除了蜂窝通信方案之外，无线通信接口1612可以支持另外类型的无线通信方案，诸如短距离无线通信方案、近场通信方案和无线局域网(LAN)方案。在此情况下，无线通信接口1612可以包括针对每种无线通信方案的BB处理器1613和RF电路1614。
天线开关1615中的每一个在包括在无线通信接口1612中的多个电路(例如用于不同的无线通信方案的电路)之间切换天线1616的连接目的地。
天线1616中的每一个均包括单个或多个天线元件(诸如包括在MIMO天线中的多个天线元件)，并且用于无线通信接口1612传送和接收无线信号。如图17所示，智能电话1600可以包括多个天线1616。虽然图17示出其中智能电话1600包括多个天线1616的示例，但是智能电话1600也可以包括单个天线1616。
此外，智能电话1600可以包括针对每种无线通信方案的天线1616。在此情况下，天线开关1615可以从智能电话1600的配置中省略。
总线1617将处理器1601、存储器1602、存储装置1603、外部连接接口1604、摄像装置1606、传感器1607、麦克风1608、输入装置1609、显示装置1610、扬声器1611、无线通信接口1612以及辅助控制器1619彼此连接。电池1618经由馈线向图17所示的智能电话1600的各个块提供电力，馈线在图中被部分地示为虚线。辅助控制器1619例如在睡眠模式下操作智能电话1600的最小必需功能。
第二应用示例
图18是示出可以应用本公开内容的技术的汽车导航设备1720的示意性配置的示例的框图。汽车导航设备1720包括处理器1721、存储器1722、全球定位系统(GPS)模块1724、传感器1725、数据接口1726、内容播放器1727、存储介质接口1728、输入装置1729、显示装置1730、扬声器1731、无线通信接口1733、一个或多个天线开关1736、一个或多个天线1737以及电池1738。在一种实现方式中，此处的汽车导航设备1720(或处理器1721)可以对应于上述电子设备1000。
处理器1721可以为例如CPU或SoC，并且控制汽车导航设备1720的导航功能和另外的功能。存储器1722包括RAM和ROM，并且存储数据和由处理器1721执行的程序。
GPS模块1724使用从GPS卫星接收的GPS信号来测量汽车导航设备1720的位置(诸如纬度、经度和高度)。传感器1725可以包括一组传感器，诸如陀螺仪传感器、地磁传感 器和空气压力传感器。数据接口1726经由未示出的终端而连接到例如车载网络1741，并且获取由车辆生成的数据(诸如车速数据)。
内容播放器1727再现存储在存储介质(诸如CD和DVD)中的内容，该存储介质被插入到存储介质接口1728中。输入装置1729包括例如被配置为检测显示装置1730的屏幕上的触摸的触摸传感器、按钮或开关，并且接收从用户输入的操作或信息。显示装置1730包括诸如LCD或OLED显示器的屏幕，并且显示导航功能的图像或再现的内容。扬声器1731输出导航功能的声音或再现的内容。
无线通信接口1733支持任何蜂窝通信方案(诸如LTE和LTE-先进)，并且执行无线通信。无线通信接口1733通常可以包括例如BB处理器1734和RF电路1735。BB处理器1734可以执行例如编码/解码、调制/解调以及复用/解复用，并且执行用于无线通信的各种类型的信号处理。同时，RF电路1735可以包括例如混频器、滤波器和放大器，并且经由天线1737来传送和接收无线信号。无线通信接口1733还可以为其上集成有BB处理器1734和RF电路1735的一个芯片模块。如图18所示，无线通信接口1733可以包括多个BB处理器1734和多个RF电路1735。虽然图18示出其中无线通信接口1733包括多个BB处理器1734和多个RF电路1735的示例，但是无线通信接口1733也可以包括单个BB处理器1734或单个RF电路1735。
此外，除了蜂窝通信方案之外，无线通信接口1733可以支持另外类型的无线通信方案，诸如短距离无线通信方案、近场通信方案和无线LAN方案。在此情况下，针对每种无线通信方案，无线通信接口1733可以包括BB处理器1734和RF电路1735。
天线开关1736中的每一个在包括在无线通信接口1733中的多个电路(诸如用于不同的无线通信方案的电路)之间切换天线1737的连接目的地。
天线1737中的每一个均包括单个或多个天线元件(诸如包括在MIMO天线中的多个天线元件)，并且用于无线通信接口1733传送和接收无线信号。如图18所示，汽车导航设备1720可以包括多个天线1737。虽然图18示出其中汽车导航设备1720包括多个天线1737的示例，但是汽车导航设备1720也可以包括单个天线1737。
此外，汽车导航设备1720可以包括针对每种无线通信方案的天线1737。在此情况下，天线开关1736可以从汽车导航设备1720的配置中省略。
电池1738经由馈线向图18所示的汽车导航设备1720的各个块提供电力，馈线在图 中被部分地示为虚线。电池1738累积从车辆提供的电力。
本公开内容的技术也可以被实现为包括汽车导航设备1720、车载网络1741以及车辆模块1742中的一个或多个块的车载系统(或车辆)1740。车辆模块1742生成车辆数据(诸如车速、发动机速度和故障信息)，并且将所生成的数据输出至车载网络1741。
最后，发明人通过图19给出两种信道状态H下(即6个用户的两种信道增益H1＝[4 4 2 2 1 1]以及H2＝[8 8 4 4 1 1])，基于SCMA算法(将6个用户的2维星座图符号转换为4维稀疏码字)采用上述图5B、图5C两种数据检测方案时的误码率性能仿真结果。在图19中，图5C、5B方案的性能曲线分别标记为SIC-1和SIC-2，作为对比的原始消息传播算法的性能曲线标记为MPA。换言之，SIC-1曲线反映：接收端根据接收信号y，先对前两个用户1、2的信号进行解码，此时的因子图矩阵为F 1，其他用户的信号被当作干扰；在解码出前两个用户1、2的信号x 1,x 2后，从接收信号y中减去已解码出的信号，再对用户3、4、5、6进行MPA解码，此时的因子图矩阵为F 2与F 3的合集，从而解码出用户3、4、5、6的数据。而SIC-2曲线反映：接收端根据接收信号y，先对前两个用户的信号进行解码，此时的因子图矩阵为F 1，其他用户的信号被当作干扰；在解码出前两个用户的信号x 1,x 2后，从接收信号y中减去已解码出的信号，再对用户3、4进行解码，此时的因子图矩阵为F 2，后两个用户的信号被当作干扰；在解码出3、4用户的信号x 3,x 4后，再减去已解码出的信号，最后对用户5、6进行解码，此时的因子图矩阵为F 3。
图19的性能仿真结果表明，随着用户信道增益差异性的增大，在误码率性能方面，基于串行干扰消除的数据检测方案与消息传播算法的差距越来越小，即性能损失越来越小。当用户信道增益的差异性较大时(如H2＝[8 8 4 4 1 1])，SIC-1在误码率性能上的损失可以忽略不计。另外，从解码复杂度上来看，可以有SIC-2<SIC-1<MPA。可见，基于本公开的方案可以视具体系统情况进行合适的用户分组、重分组、分组内资源重分配和数据检测方案更新中的至少一项，从而取得解码复杂度、误码率的折中而使得模式域多址接入方案适于实际应用。
以上参照附图描述了本公开的示例性实施例，但是本公开当然不限于以上示例。本领域技术人员可在所附权利要求的范围内得到各种变更和修改，并且应理解这些变更和修改自然将落入本公开的技术范围内。
例如，在以上实施例中包括在一个单元中的多个功能可以由分开的装置来实现。替 选地，在以上实施例中由多个单元实现的多个功能可分别由分开的装置来实现。另外，以上功能之一可由多个单元来实现。无需说，这样的配置包括在本公开的技术范围内。
在该说明书中，流程图中所描述的步骤不仅包括以所述顺序按时间序列执行的处理，而且包括并行地或单独地而不是必须按时间序列执行的处理。此外，甚至在按时间序列处理的步骤中，无需说，也可以适当地改变该顺序。
虽然已经详细说明了本公开及其优点，但是应当理解在不脱离由所附的权利要求所限定的本公开的精神和范围的情况下可以进行各种改变、替代和变换。而且，本公开实施例的术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含，从而使得包括一系列要素的过程、方法、物品或者设备不仅包括那些要素，而且还包括没有明确列出的其他要素，或者是还包括为这种过程、方法、物品或者设备所固有的要素。在没有更多限制的情况下，由语句“包括一个……”限定的要素，并不排除在包括所述要素的过程、方法、物品或者设备中还存在另外的相同要素。

Claims (36)

  1. 一种用于无线通信系统的电子设备，包括：
    处理电路，所述处理电路被配置为：
    基于终端设备信息针对数据传输进行终端设备分组，其中，同一分组内的终端设备的多个数据流通过模式域多址接入进行资源复用；以及
    基于数据传输的检测信息进行终端设备重分组、分组内资源重分配和数据检测方案更新中的至少一项，
    其中，数据检测方案用于基于串行检测算法对接收数据进行解码。
  2. 根据权利要求1所述的电子设备，其中，所述终端设备信息包括信道状态信息，并且终端设备分组包括：
    根据信道状态信息将终端设备归入分组，使得同一分组内的终端设备之间的信道增益差异性尽量大或大于预定阈值，
    其中，所述终端设备分组使得同一分组的终端设备复用同一组资源，不同分组的终端设备使用不同的资源。
  3. 根据权利要求1所述的电子设备，其中，所述处理电路还被配置为确定数据检测方案，包括：对分组内的终端设备进行分级，使得至少一个级别包括两个或更多个终端设备，其中，不同级别的终端设备通过串行检测算法进行检测，同一级别的两个或更多个终端设备通过并行检测算法进行检测。
  4. 根据权利要求2所述的电子设备，其中，将终端设备归入分组包括以下中的至少一者：
    将终端设备基于信道增益进行排序，依次将各终端设备归入不同分组；以及
    基于信道增益将终端设备匹配到分组配置模板中，其中分组配置模板指定分组中的终端设备数以及终端设备的信道增益水平。
  5. 根据权利要求3所述的电子设备，其中，所述处理电路还被配置为确定分组内资源分配，所述资源分配使同一级别的终端设备的数据流之间的资源重叠尽量小。
  6. 根据权利要求3所述的电子设备，其中，对分组内的终端设备进行分级包括将终端设备按照信道增益高低归入相应级别，与较高信道增益对应的级别内的终端设备的数据流的检测顺序较靠前。
  7. 根据权利要求6所述的电子设备，其中，对于从基站到终端设备的下行链路数据传输，在特定终端设备的解码能力仅支持串行检测算法的情况下，对分组内的终端设备进行分级还包括向该特定终端设备分配较高的下行链路传输功率，并将该特定终端设备单独归入检测顺序尽量靠前的级别。
  8. 根据权利要求2所述的电子设备，其中，对于从基站到终端设备的下行链路数据传输，在特定终端设备的解码能力仅支持串行检测算法的情况下，将终端设备归入分组还包括将仅支持串行检测算法的终端设备归入同一分组，该分组内的终端设备仅通过串行检测算法进行检测。
  9. 根据权利要求3所述的电子设备，其中，检测信息包括检测误差信息，在对数据流的检测误差不满足误码率或重传率要求的情况下，执行以下至少之一：
    进行终端设备重分组，以增大分组内的终端设备的信道增益差异；
    进行数据检测方案更新，以调整分组内的各终端设备的数据流在串行检测算法中的检测顺序；
    进行数据检测方案更新，以调整串行检测算法中串行检测的级别数；
    进行分组内资源重分配，以使得串行检测算法中检测顺序靠前的终端设备的数据流与检测顺序在其后的其他数据流的资源重叠减小；以及
    进行分组内资源重分配，以使得同一分组内的同一级别的终端设备的数据流之间的资源重叠减小。
  10. 根据权利要求3所述的电子设备，其中，检测信息包括检测误差信息，数据检测方案更新包括在系统平均检测误差不满足平均误码率要求的情况下减小分组内的级别数。
  11. 根据权利要求3所述的电子设备，其中，检测信息包括检测复杂度信息，数据检测方案更新包括在检测复杂度高于检测复杂度阈值的情况下增加终端设备分组内的终端设备级别数。
  12. 根据权利要求1所述的电子设备，其中，基于检测信息进行终端设备重分组、资源重分配和数据检测方案更新中的至少一项是周期性的；以及/或者
    基于检测信息进行终端设备重分组、资源重分配和数据检测方案更新中的至少一项是事件触发的，触发事件包括检测误差不满足误码率或重传率要求达第一预定持续时间和/或检测复杂度高于检测复杂度阈值达第二预定持续时间。
  13. 根据权利要求1所述的电子设备，所述处理电路还被配置为：对于从终端设备到基站的上行链路数据传输，在进行资源重分配后向终端设备通知相应的资源分配结果。
  14. 根据权利要求1所述的电子设备，所述处理电路还被配置为：对于从基站到终端设备的下行链路数据传输，在进行终端设备重分组、资源重分配和数据检测方案更新中的至少一项后向终端设备通知相应的终端设备重分组结果、资源重分配结果和更新的数据检测方案中的所述至少一项。
  15. 根据权利要求1所述的电子设备，所述处理电路还被配置为：对于从基站到终端设备的下行链路数据传输，从终端设备获取下行链路数据传输的检测信息以进行终端设备重分组、分组内资源重分配和数据检测方案更新中的至少一项。
  16. 一种用于无线通信系统的电子设备，包括：
    处理电路，所述处理电路被配置为：
    获得终端设备分组结果，所述终端设备分组结果是基于终端设备信息针对数据传输而被确定的，其中，同一分组内的终端设备的多个数据流通过模式域多址接入进行资源复用；以及
    获得终端设备重分组结果、资源重分配结果和更新的数据检测方案中的至少一项，所述终端设备重分组结果、资源重分配结果和更新的数据检测方案中的至少一项是基于数据传输的检测信息而被确定的，
    其中，数据检测方案用于所述电子设备基于串行检测算法对接收到的接收数据进行解码。
  17. 根据权利要求16所述的电子设备，其中，所述终端设备信息包括信道状态信息，并且终端设备分组包括：
    根据信道状态信息将终端设备归入分组，使得同一分组内的终端设备之间的信道增益差异性尽量大或大于预定阈值，
    其中，所述终端设备分组使得同一分组的终端设备复用同一组资源，不同分组的终端设备使用不同的资源。
  18. 根据权利要求16所述的电子设备，其中，所述处理电路还被配置为从基站获得数据检测方案，基站确定数据检测方案包括：对分组内的终端设备进行分级，使得至少一个级别包括两个或更多个终端设备，
    其中，不同级别的终端设备通过串行检测算法进行检测，同一级别的两个或更多个终端设备通过并行检测算法进行检测。
  19. 根据权利要求17所述的电子设备，其中，将终端设备归入分组包括以下中的至少一者：
    将终端设备基于信道增益进行排序，依次将各终端设备归入不同分组；以及
    基于信道增益将终端设备匹配到分组配置模板中，其中分组配置模板指定分组中的终端设备数以及终端设备的信道增益水平。
  20. 根据权利要求18所述的电子设备，其中，所述处理电路还被配置为从基站获得分组内资源分配结果，该资源分配结果使同一级别的终端设备的数据流之间的资源重叠尽量小。
  21. 根据权利要求18所述的电子设备，其中，对分组内的终端设备进行分级包括将终端设备按照信道增益高低归入相应级别，与较高信道增益对应的级别内的终端设备的数据流的检测顺序较靠前。
  22. 根据权利要求21所述的电子设备，其中，在所述电子设备的解码能力仅支持串行检测算法的情况下，该电子设备被分配较高的下行链路传输功率，并且该电子设备被单独归入检测顺序尽量靠前的级别。
  23. 根据权利要求17所述的电子设备，其中，在所述电子设备的解码能力仅支持串行检测算法的情况下，该电子设备被归入仅支持串行检测算法的终端设备的分组，该分组内的终端设备仅通过串行检测算法进行检测。
  24. 根据权利要求18所述的电子设备，其中，检测信息包括检测误差信息，在对数据流的检测误差不满足误码率或重传率要求的情况下，基站执行以下至少之一：
    进行终端设备重分组，以增大分组内的终端设备的信道增益差异；
    进行数据检测方案更新，以调整分组内的各终端设备的数据流在串行检测算法中的检测顺序；
    进行数据检测方案更新，以调整串行检测算法中串行检测的级别数；
    进行分组内资源重分配，以使得串行检测算法中检测顺序靠前的终端设备的数据流与检测顺序在其后的其他数据流的资源重叠减小；以及
    进行分组内资源重分配，以使得同一分组内的同一级别的终端设备的数据流之间的资源重叠减小。
  25. 根据权利要求18所述的电子设备，其中，检测信息包括检测误差信息，数据检测方案更新包括在系统平均检测误差不满足平均误码率要求的情况下减小分组内的级别数。
  26. 根据权利要求18所述的电子设备，其中，检测信息包括检测复杂度信息，数据检测方案更新包括在检测复杂度高于检测复杂度阈值的情况下增加终端设备分组内的终端设备级别数。
  27. 根据权利要求16所述的电子设备，其中，基于检测信息进行终端设备重分组、资源重分配和数据检测方案更新中的至少一项是周期性的；以及/或者
    基于检测信息进行终端设备重分组、资源重分配和数据检测方案更新中的至少一项是事件触发的，触发事件包括检测误差不满足误码率或重传率要求达第一预定持续时间和/或检测复杂度高于检测复杂度阈值达第二预定持续时间。
  28. 根据权利要求16所述的电子设备，所述处理电路还被配置为：向基站报告检测信息，用于基站进行的终端设备重分组、分组内资源重分配和数据检测方案更新中的至少一项。
  29. 根据权利要求22或23所述的电子设备，所述处理电路还被配置为：向基站报告终端设备的解码能力。
  30. 根据权利要求16所述的电子设备，其中，所述电子设备被配置为用于终端设备侧，所述终端设备被配置为基于终端设备重分组结果、资源重分配结果和更新的数据检测方案中的至少一项对从基站接收到的接收数据进行解码。
  31. 一种用于通信的方法，包括：
    基于终端设备信息针对数据传输进行终端设备分组，其中，同一分组内的终端设备的多个数据流通过模式域多址接入进行资源复用；以及
    基于数据传输的检测信息进行终端设备重分组、分组内资源重分配和数据检测方案更新中的至少一项，
    其中，数据检测方案用于基于串行检测算法对接收数据进行解码。
  32. 一种用于通信的方法，包括：
    获得终端设备分组结果，所述终端设备分组结果是基于终端设备信息针对数据传输而被确定的，其中，同一分组内的终端设备的多个数据流通过模式域多址接入进行资源复用；以及
    获得终端设备重分组结果、资源重分配结果和更新的数据检测方案中的至少一项，所述终端设备重分组结果、资源重分配结果和更新的数据检测方案中的至少一项是基于数据传输的检测信息而被确定的，
    其中，数据检测方案用于基于串行检测算法对接收到的接收数据进行解码。
  33. 一种用于无线通信系统的电子设备，包括：
    串行检测接收机，所述串行检测接收机被配置为包含至少两级的并行检测单元，以用于对接收到的模式域多址接入信号进行分级解码，
    其中，每一级并行检测单元支持并行的多终端设备数据检测，以及
    其中，在前级别的并行检测单元的解码输出作为在后级别并行检测单元的已知干扰以便从接收到的模式域多址接入信号中消除，并且在前级别的并行检测单元的目标数据流的资源正交性优于在后级别的并行检测单元的目标数据流的资源正交性。
  34. 根据权利要求33所述的电子设备，其中，所述串行检测接收机对应于SIC接收机，所述并行检测单元对应于MPA单元。
  35. 根据权利要求34所述的电子设备，其中，模式域多址接入包括SCMA或PDMA。
  36. 一种存储有一个或多个指令的计算机可读存储介质，所述一个或多个指令在由电子设备的一个或多个处理器执行时使该电子设备执行根据权利要求31或32所述的方法。
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