WO2019019149A1 - 数据降维方法、装置及系统、计算机设备及存储介质 - Google Patents

数据降维方法、装置及系统、计算机设备及存储介质 Download PDF

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Publication number
WO2019019149A1
WO2019019149A1 PCT/CN2017/094908 CN2017094908W WO2019019149A1 WO 2019019149 A1 WO2019019149 A1 WO 2019019149A1 CN 2017094908 W CN2017094908 W CN 2017094908W WO 2019019149 A1 WO2019019149 A1 WO 2019019149A1
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Prior art keywords
signal
received
domain
receiving
channel information
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PCT/CN2017/094908
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English (en)
French (fr)
Inventor
高全中
胥恒
刘国臣
葛莉玮
徐剑标
郭森宝
Original Assignee
华为技术有限公司
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Application filed by 华为技术有限公司 filed Critical 华为技术有限公司
Priority to EP17919614.2A priority Critical patent/EP3641487B1/en
Priority to PCT/CN2017/094908 priority patent/WO2019019149A1/zh
Priority to CN201780092805.5A priority patent/CN110832949B/zh
Publication of WO2019019149A1 publication Critical patent/WO2019019149A1/zh
Priority to US16/749,103 priority patent/US11234294B2/en

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    • 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
    • H04W88/08—Access point devices
    • H04W88/085—Access point devices with remote components
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/24—Cell structures
    • H04W16/28—Cell structures using beam steering
    • 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
    • H04W72/046—Wireless resource allocation based on the type of the allocated resource the resource being in the space domain, e.g. beams
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/20—Control channels or signalling for resource management
    • H04W72/21—Control channels or signalling for resource management in the uplink direction of a wireless link, i.e. towards the network
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/50—Allocation or scheduling criteria for wireless resources
    • H04W72/56—Allocation or scheduling criteria for wireless resources based on priority criteria
    • 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

Definitions

  • the present application relates to the field of communications, and in particular, to a data dimension reduction method, apparatus and system, computer equipment, and storage medium.
  • the Common Public Radio Interface is used as the baseband unit (BBU) in the wireless network.
  • BBU baseband unit
  • RRU Radio Remote Unit
  • C-RAN Centralized, Cooperative, Cloud and Clean-Radio Access Network
  • the BBU is centrally deployed.
  • the RRU transmits the time domain data (that is, the time domain data of the antenna domain) received from each antenna through the CPRI to the BBU.
  • the geographical distance between the RRU and the BBU may be far away. For example, multiple RRUs with geographical distances can usually use a star connection, and then aggregate the time domain data received by multiple RRUs from the antenna onto one fiber.
  • time domain data has a high dimension.
  • the existing fiber capacity may not be able to transmit time domain data received by multiple RRUs at the same time. Therefore, the RRU needs to be performed.
  • the time domain data received from the antenna is dimensioned to meet the data transmission requirements.
  • the functions of the BBU and the RRU are re-divided by the interface between the baseband processing function and the remote radio processing function (eCPRI) in the base station device of the 5G wireless network, and the partial processing functions of the traditional BBU (for example, the antenna domain)
  • the function of reducing the time domain data to the frequency domain data of the beam domain) is transferred to the RRU. Since the functions of the BBU and the RRU are changed relative to the traditional BBU and the RRU, the name of the BBU in the base station device of the 5G wireless network is redefined as a Radio Cloud Center (RCC), and the name of the RRU is redefined as a radio remote. System (Radio Remote System, RRS).
  • RRCC Radio Cloud Center
  • RRS Radio Remote System
  • the RRS can reduce the time domain data of the antenna domain to the frequency domain data of the beam domain, and the RRS transmits the frequency domain data to the RCC through eCPRI, and the RCC performs channel according to the received frequency domain data. Estimation and channel equalization.
  • the RRS when the RRS reduces the time domain data of the antenna domain to the frequency domain data of the beam domain, the data is reduced by using the preset beam domain weight, and the flexibility of the data dimension reduction is low.
  • the present application provides a data dimensionality reduction method, apparatus and system, computer equipment and storage medium.
  • the technical solution is as follows:
  • a data dimensionality reduction method is provided, which is applied to a radio remote system RRS, and the RRS passes through a general public
  • the common radio interface eCPRI is connected to the wireless cloud center RCC, and the method includes:
  • the antenna domain receiving signal includes an uplink signal sent by the user equipment UE received by the array antenna corresponding to the RRS, the antenna domain receiving signal is a time domain signal, and the antenna domain receiving signal is in a dimension N 1 , the N 1 is an integer greater than 1;
  • the RRS may determine the received beam weight according to the channel information of the UE, and use the received beam weight to reduce the received signal of the received antenna domain.
  • the received beam weights determined by different channel information are different, so the dimensions of the received signals in different antenna domains may be different, which improves the flexibility of data dimensionality reduction. .
  • the receive beam weight is used to reduce the frequency of the received signal in the antenna domain to obtain the beam domain receive signal, that is, the receive beam weight is used to determine the adaptive receive beam, and the receive beam is received by the adaptive receive beam.
  • the method for the RRS to obtain the received beam weight may include:
  • the acquiring the receive beam weights includes:
  • the received beam weight is determined according to channel information of each UE.
  • the acquiring the receive beam weights includes:
  • the received beam weight is determined according to channel information of each UE.
  • the determining the receive beam weight according to the channel information of the UE includes:
  • the determining, according to the channel information of the UE, the receiving beam weight based on the maximum target signal receiving energy criterion including:
  • the number of the spatially multiplexed UEs is M
  • i is an integer and 1 ⁇ i ⁇ M.
  • the receiving beam weight is an interference whitening weight
  • the determining the receiving beam weight according to the channel information of the UE may further include:
  • H a channel response matrix of the antenna domain
  • the RRS acquires the receive beam weights, which may include:
  • the received beam weights obtained by the RRS may be determined by the RRS according to the channel information of the UE, or may be determined by the RCC according to the channel information of the UE and then sent to the RRS.
  • the method further includes:
  • Adding a target receiving beam signal to the beam domain received signal to obtain an updated beam domain receiving signal wherein the target receiving beam signal is n preset fixed direction supplemental receiving beam received signals, or the target receiving The beam signal is a signal received by the supplemental receive beam of n directionality predicted according to the multipath direction and the moving direction of the user channel, and n is a positive integer.
  • the prediction of the n directional complement receiving beams according to the multipath direction and the moving direction of the user channel may include:
  • N supplemental receive beams are determined based on the target supplemental beam weights.
  • the method before the adding the target receiving beam signal to the beam domain receiving signal, the method further includes:
  • the channel information of the UE includes a signal to noise ratio of the user channel, a moving speed of the UE, an extended angle of the UE, and a multipath number of the user channel. For example, for a UE with a large expansion angle, the energy is dispersed on more receiving beams, and the number of supplemental receiving beams can be increased to comprehensively receive energy; UEs with larger UE interference in other cells can add more supplementary receiving beams. In order to guarantee the communication quality of the UE.
  • the eCPRI transmission traffic is determined by the air interface bandwidth and the number of receiving beams.
  • the mobile station can be moved to improve the accuracy of the receiving beam of the mobile UE.
  • the number of supplemental receive beams of the UE is greater than the number of supplemental receive beams of the stationary UE, that is, when determining the number of supplemental receive beams, the number of supplemental receive beams can be positively correlated with the moving speed of the UE. .
  • the scheduling bandwidth in the eCPRI is not full, the user on the scheduling bandwidth can be allocated more supplementary receiving beams to increase the system coverage and capacity when the optical fiber capacity is constant. According to the channel information of the UE, different UEs can be allocated different numbers of supplemental receive beams under limited fiber capacity to optimize system performance.
  • the priority of the UE may be determined by the service type of the UE, whether the signal is retransmitted, or the like.
  • the service type may include a home user, an enterprise private line, and a private network service, and the UE of the private network service is added to the UE of the home user.
  • the number of receiving beams is large.
  • the frequency domain data received by the beam is transmitted to the RRS for channel estimation and equalization, which can improve system coverage and capacity when the fiber capacity is limited.
  • the method further includes:
  • the beam domain received signal is transmitted to the RCC by the eCPRI.
  • the preset measurement value may include measurement values of different UEs, a signal to noise ratio of the user channel, or an interference strength.
  • the uplink signal transmitted by the UE may be represented by using less quantization data bit width without affecting the signal-to-noise ratio.
  • the eCPRI transmission traffic can be reduced, so that more UEs can be scheduled under a certain eCPRI transmission traffic.
  • the transmitting, by the eCPRI, the beam domain received signal to the RCC includes:
  • the beam domain received signal in the user-scheduled bandwidth is transmitted to the RCC through the eCPRI.
  • only the frequency domain data (beam domain reception information) of the user-scheduled bandwidth can be transmitted to the RCC according to the scheduling bandwidth of the current time of the system and the occupied bandwidth of the control channel. For example, if the bandwidth of the current time of the system is 20 megabits and the bandwidth scheduled by the user is 10 megabits, the RRS can transmit only 10 megabits of bandwidth scheduled by the user to the RCC, and the number of users that can be scheduled by the system can be guaranteed under a limited transmission bandwidth. .
  • the channel may adopt a resource allocation manner in a combed form (intervaling one or more subcarriers), that is, a resource interval occupation, for example, a channel of the DMRS and a channel of the SRS, that is, a resource allocation manner in a combed form, and the RRS is adopted.
  • a resource interval occupation for example, a channel of the DMRS and a channel of the SRS, that is, a resource allocation manner in a combed form
  • the RRS is adopted.
  • the eCPRI transmits data to the RCC, it can adjust the frequency domain points of the frequency domain data and transmit only the frequency domain data to which the resources are allocated.
  • a data dimension reduction device for use in a radio remote system RRS, the RRS being connected to a wireless cloud center RCC through a common public radio interface eCPRI, the device comprising: at least one module, the at least one module
  • the data dimensionality reduction method provided by the above first aspect is implemented.
  • a data dimensionality reduction system comprising: an RCC and a plurality of RSS, at least one of the RSSs comprising the apparatus of the second aspect, the plurality of RRSs being connected to the RCC by eCPRI .
  • a computer apparatus comprising: a memory, a processor, and a computer program stored on the memory and operable on the processor, wherein when the processor executes the computer program, implementing the first aspect
  • the data reduction method provided.
  • a computer readable storage medium is provided, the instructions being stored on the computer readable storage medium, and when the instructions are executed by a processor, implementing the data dimensionality reduction method provided by the first aspect.
  • the computer readable storage medium is a non-transitory computer readable storage medium.
  • a computer program product comprising instructions, when run on a computer device, causes the computer device to implement the data dimensionality reduction method provided by the first aspect above.
  • the RRS may determine the receive beam weight according to the channel information of the UE, and adopt the receive beam weight value pair. Received antenna domain received signals for dimensionality reduction to obtain beam domain received signals. Since the received beam weights determined by different channel information are different, the dimensions of the received beam-derived signals for different antenna domains may be different. Different, the flexibility of data reduction is improved.
  • FIG. 1 is a schematic diagram of an implementation environment involved in a data dimension reduction method according to an embodiment of the present invention
  • FIG. 2 is a flowchart of a data dimension reduction method according to an embodiment of the present invention.
  • 3-1 is a schematic diagram of a receiving beam according to an embodiment of the present invention.
  • 3-2 is a schematic diagram of another receiving beam according to an embodiment of the present invention.
  • 4-1 is a schematic structural diagram of a data dimension reduction device according to an embodiment of the present invention.
  • 4-2 is a schematic structural diagram of an acquiring module according to an embodiment of the present invention.
  • 4-3 is a schematic structural diagram of another data reduction device according to an embodiment of the present invention.
  • 4-4 is a schematic structural diagram of still another data dimension reduction device according to an embodiment of the present invention.
  • FIGS. 4-5 are schematic structural diagrams of still another data reduction device according to an embodiment of the present invention.
  • 5-1 is a schematic structural diagram of a data dimensionality reduction system according to an embodiment of the present invention.
  • 5-2 is a schematic structural diagram of another data dimension reduction system according to an embodiment of the present invention.
  • 6-1 is a schematic structural diagram of a network device according to an embodiment of the present invention.
  • FIG. 6-2 is a schematic diagram of an application unit according to the embodiment shown in FIG. 6-1.
  • FIG. 1 is a schematic diagram of an implementation environment involved in a data dimension reduction method according to an embodiment of the present invention.
  • the implementation environment may include an RCC 101, at least one RRS 102, and at least one user equipment (UE) 103. .
  • the RRS 102 and the RCC 101 are base station devices.
  • the RRS 102 and the RCC 101 are connected by a connection component such as an optical fiber, and the RRS 102 is connected to the antenna through a feeder, and communicates with the UE 103 through the antenna.
  • the interface between the traditional BBU and the RRU is CPRI.
  • RCC the name of the BBU in the base station device of the 5G wireless network
  • RRS the name of the RRU
  • the RRS 102 can receive the uplink signal sent by the UE 103 through the antenna, and preprocess the uplink signal, and transmit the preprocessed signal to the RCC 101 through the eCPRI.
  • uplink baseband processing and downlink baseband processing can be divided into load-related user-level processing and load-independent cell-level processing.
  • eCPRI to divide RRS and RCC are shown in Table 1, where RRS completes signal sampling/recovery, resource mapping/demapping, and data dimensionality reduction processing, RCC completes channel mapping and precoding, channel estimation and equalization, modulation/demodulation, and bits. Processing such as level processing, wireless circuit control, and packet data aggregation. "/" means or.
  • signal sampling/recovery and resource mapping/demapping are load-independent cell-level processing, and other processing is load-related user-level processing.
  • channel estimation and equalization are not only load-dependent user-level processing, but the complexity of channel estimation and equalization processing is also positively correlated with the number of array antennas used to receive the signal.
  • the RRS can perform dimension reduction processing on the received uplink signal (instant domain data) to obtain a beam domain received signal (ie, frequency domain data), and receive the signal in the beam domain. Transfer to the RCC via eCPRI.
  • the RRS when the RRS reduces the time domain data of the antenna domain to the frequency domain data of the beam domain, the data is reduced by using a preset fixed beam domain weight, that is, for different UEs and different The number of UEs and the scheduling bandwidth use the same beam domain weight to reduce the data, and the flexibility of data dimension reduction is low.
  • the embodiment of the present invention provides a data dimensionality reduction method, which can be applied to the RRS. As shown in FIG. 2, the method may include:
  • Step 201 The RRS receives an antenna domain to receive a signal.
  • the antenna domain receiving signal includes an uplink signal sent by the UE received by the array antenna corresponding to the RRS, and the antenna domain receiving signal is a time domain signal, and the antenna domain receiving signal has a dimension of N 1 , and N 1 is an integer greater than 1.
  • one RRS can correspond to multiple antennas.
  • one RRS manages one cell
  • the antenna domain received signal is an uplink signal sent by all UEs in the cell received by the antenna of the cell managed by the RRS.
  • the UE sends an uplink signal X
  • the number of array antennas corresponding to the RRS is N 1
  • H is the channel response matrix of the antenna domain.
  • the channel response matrix includes the channel response of each UE to the array antenna, K is a constant, and the number of rows of H is equal to N 1 .
  • Step 202 The RRS acquires a received beam weight, where the received beam weight is determined according to channel information of the UE, where the received beam weights determined according to different channel information are different.
  • the manner in which the RRS obtains the received beam weight may be multiple, for example, directly obtained by the RRS, that is, the RRS acquires channel information of the UE; and determines the received beam weight according to the channel information of the UE; for example, is acquired by the RCC.
  • the RRS is sent to the RRS, that is, the RCC determines the received beam weight according to the channel information of the UE, and the RRS receives the received beam weight of the RCC.
  • the embodiment of the present invention uses the RRS to determine the received beam weight according to the channel information of the UE.
  • the RRC determines the received beam weight according to the channel information of the UE.
  • the method of the present invention is not described herein.
  • the RRS can be based on a periodic channel sounding signal sent to each UE (Sounding Reference) Signal, SRS), obtaining channel information of each UE; determining a received beam weight according to channel information of each UE; or, the RRS may be obtained according to a Demodulation Reference Signal (DMRS) sent to each UE Channel information of each UE; determining a receive beam weight according to channel information of each UE.
  • SRS Signal
  • DMRS Demodulation Reference Signal
  • the RRS may determine the received beam weight according to the channel information of the UE, based on a criterion of maximizing a target signal receiving energy criterion, maximizing a target signal signal to noise ratio criterion, or maximizing a target signal signal to interference and noise ratio criterion.
  • the method for determining, by the RRS, the received beam weight based on the maximum target signal received energy criterion according to the channel information of the UE may include:
  • SDM Space Division Multiplexing
  • the channel information of all UEs includes channel information of all antennas in each cell managed by the UE to the RRS.
  • i is an integer and 1 ⁇ i ⁇ M
  • the dimension of the received beam weight is N 2 ⁇ N 1 .
  • the method for determining the received beam weight based on the maximum target signal signal to interference and noise ratio criterion according to the channel information of the UE according to the channel information of the UE may include:
  • the channel information of all UEs includes channel information of all antennas of each UE to the local cell.
  • the interference beam weight is the interference whitening weight
  • the interference whitening weight is the weight of the colored noise (ie, the interference with correlation on each antenna) becomes white noise, and the interference covariance matrix is based on other cells.
  • the dimension of the received beam weight obtained based on the above formula is determined by the interference signal of the UE (that is, the cell managed by the other RRS) is N 2 ⁇ N 1 .
  • Step 203 The RRS uses the received beam weight to perform dimension reduction on the received signal in the antenna domain to obtain a beam domain received signal.
  • the beam domain received signal is a frequency domain signal, and the beam domain received signal has a dimension of N 2 , 0 ⁇ N 2 ⁇ N 1 .
  • the receiving beam weight is W
  • the dimension of the received signal Y of the antenna domain is N 1
  • the dimension of the received beam weight is N 2 ⁇ N 1
  • the dimension of the received signal Y′ of the beam domain is determined to be N 2 .
  • FIG. 3-1 is a schematic diagram of a receive beam according to an embodiment of the present invention.
  • a beam domain received signal corresponding to an uplink signal transmitted by UE1 is received by an adaptive receive beam 1.
  • the receiving beam weight is used to reduce the frequency of the received signal in the antenna domain to obtain the beam domain receiving signal, that is, the receiving beam weight is used to determine the adaptive receiving beam, and the receiving beam is received by the adaptive receiving beam.
  • the adaptive receive beam is a beam for receiving a beam domain received signal.
  • the adaptive receive beam is formed by N 2 antennas, and the antenna domain receives the signal received by the adaptive receive beam.
  • N 2 that is, the signal received by the adaptive receiving beam is the beam domain receiving signal that the RRS actually transmits to the RCC, thereby realizing the dimensionality reduction of the received signal in the antenna domain.
  • the adaptive receiving beam can form a different direction according to different paths of the uplink signal of the UE in the space, and different antenna gains are given in different directions of arrival to form a narrow beam alignment uplink signal in real time. In other directions, the side lobes are depressed as much as possible, and directional reception is used to increase the capacity of the system.
  • the adaptive receive beam can separate signals with similar or spatially separable frequencies, and track these signals to adjust the array antenna.
  • the weighting value causes the beam of the array antenna to point in the direction of the target signal.
  • the frequency domain data of the adaptive receiving beam is transmitted to the baseband for channel estimation and equalization, and the system is improved under the condition that the optical fiber capacity is limited. Coverage and capacity.
  • Step 204 The RRS determines the number of supplemental receive beams according to channel information of the UE or a priority of the UE.
  • an supplemental receive beam may be added based on the adaptive receive beam.
  • the supplementary receiving beam may be the n fixed receiving beams with the strongest receiving energy in the cell, or the supplemental receiving beam may also be the n directional receiving beams predicted according to the multipath direction and the moving direction of the user channel. Where n is a positive integer.
  • the channel information of the UE includes a signal to noise ratio of the user channel, a moving speed of the UE, an extended angle of the UE, and a multipath number of the user channel. For example, for a UE with a large expansion angle, the energy is dispersed on more receiving beams, and the number of supplemental receiving beams can be increased to comprehensively receive energy; UEs with larger UE interference in other cells can add more supplementary receiving beams. In order to guarantee the communication quality of the UE.
  • the eCPRI transmission traffic is determined by the air interface bandwidth and the number of receiving beams.
  • the mobile station can be moved to improve the accuracy of the receiving beam of the mobile UE.
  • the number of supplemental receive beams of the UE is greater than the number of supplemental receive beams of the stationary UE, that is, when determining the number of supplemental receive beams, the number of supplemental receive beams can be positively correlated with the moving speed of the UE. .
  • the scheduling bandwidth in the eCPRI is not full, the user on the scheduling bandwidth can be allocated more supplementary receiving beams to increase the system coverage and capacity when the optical fiber capacity is constant. According to the channel information of the UE, different UEs can be allocated different numbers of supplemental receive beams under limited fiber capacity to optimize system performance.
  • the priority of the UE may be determined by the service type of the UE, whether the signal is retransmitted, or the like.
  • the service type may include a home user, an enterprise private line, and a private network service, and the UE of the private network service is added to the UE of the home user.
  • the number of receiving beams is large (that is, the priority of the UE of the private network service is greater than that of the home user); the priority of the UE that needs to retransmit the signal is greater than the priority of the UE that initially uploads the signal.
  • Adaptive adjustment of the number of supplemental receive beams can increase the received energy and enhance the multi-antenna dimension.
  • the frequency domain data received from the supplemental receive beam is transmitted to the RRS for channel estimation and equalization, which can improve system coverage when the fiber capacity is limited. And capacity.
  • Step 205 The RRS adds n target receive beam signals to the beam domain received signal to obtain an updated beam domain receive signal.
  • the target receive beam signal may be a signal received by the n preset fixed direction supplemental receive beams.
  • the supplemental receive beam may be the n fixed receive beams with the strongest received energy in the cell, where n is a positive integer.
  • FIG. 3-2 is a schematic diagram of a receiving beam according to an embodiment of the present invention.
  • a receiving beam may be included. Including beam 1 and beam 2, beam 1 is an adaptive receive beam, beam 2 is a fixed receive beam, and fixed receive beam 2 is directed in a different direction than the direction in which adaptive receive beam 1 is directed.
  • the uplink signal transmitted by UE1 can be received by the RRS through the adaptive receiving beam 1 and the fixed receiving beam 2 respectively.
  • the signal received by the adaptive receiving beam 1 is the beam domain receiving signal
  • the signal received by the fixed receiving beam 2 is the target receiving beam signal. .
  • the target receive beam signal may also be a signal received by the supplemental receive beam of n directionality predicted according to the multipath direction and the moving direction of the user channel, where n is a positive integer.
  • the method for predicting the n directional complement receiving beams according to the multipath direction and the moving direction of the user channel may include:
  • d is the spacing between the array antennas
  • ⁇ is the wavelength of the receiving beam
  • N 1 is the number of array antennas
  • the angle of arrival ⁇ is the angle between the UE and the normal of the array antenna.
  • the dimension of the signal received by each supplemental receive beam is 1 ⁇ N 1
  • Step 205 Adjust the data bit width of the eCPRI according to the preset measurement value.
  • the preset measurement value may include measurement values of different UEs, a signal to noise ratio of the user channel, or an interference strength.
  • the uplink signal transmitted by the UE may be represented by using less quantization data bit width without affecting the signal-to-noise ratio.
  • the eCPRI transmission traffic can be reduced, so that more UEs can be scheduled under a certain eCPRI transmission traffic.
  • Step 206 The RRS transmits the beam domain receiving signal to the RCC through eCPRI.
  • the RRS may transmit the beam domain received signal in the bandwidth scheduled by the user to the RCC through eCPRI.
  • the scheduling bandwidth of the current time of the system (in actual application, the system time is counted in units of frames) and the occupied bandwidth of the control channel, only frequency domain data (beam domain receiving information) with user-scheduled bandwidth is transmitted.
  • RCC frequency domain receiving information
  • the RRS can transmit only 10 megabits of bandwidth scheduled by the user to the RCC, and the number of users that can be scheduled by the system can be guaranteed under a limited transmission bandwidth.
  • the channel may adopt a resource allocation manner in a combed form (intervaling one or more subcarriers), that is, a resource interval occupation, for example, a channel of the DMRS and a channel of the SRS, that is, a resource allocation manner in a combed form, and the RRS is adopted.
  • a resource interval occupation for example, a channel of the DMRS and a channel of the SRS, that is, a resource allocation manner in a combed form
  • the RRS is adopted.
  • the eCPRI transmits data to the RCC, it can adjust the frequency domain points of the frequency domain data and transmit only the frequency domain data to which the resources are allocated.
  • different dimensionality reduction targets may be used for dimensionality reduction according to actual requirements such as demodulation requirements and performance requirements, and different The direction and number of adaptive receive beams after dimension reduction of the dimension reduction target are different, the number of supplemental receive beams is different, and the data bit width of the bandwidth in which the UE is located is different.
  • the control channel has a higher stability requirement for demodulation, so more supplemental receive beams can be added to the control channel.
  • the data dimension reduction method provided by the embodiment of the present invention can be applied to a centralized network architecture (ie, an RCC centralized department).
  • the RRS in the architecture of the Agency can also be applied to RRS in a distributed network architecture (ie, an architecture for RCC decentralized deployment).
  • the RRS may determine the received beam weight according to the channel information of the UE, and adopt the received beam weight to the received antenna domain.
  • the received signal is subjected to dimensionality reduction to obtain a beam domain received signal. Since the received beam weights determined by different channel information are different, the dimensions of the received signal in the beam domain obtained by differentiating the received signal in different antenna domains may be different, and the data is improved. The flexibility of dimensionality reduction.
  • the embodiment of the present invention provides a data reduction device, which is applied to an RRS, and the RRS is connected to the RCC through eCPRI.
  • the device 40 may include:
  • the receiving module 401 is configured to receive an antenna domain receiving signal, where the antenna domain receiving signal includes an uplink signal sent by the user equipment UE received by the array antenna corresponding to the RRS, and the antenna domain receiving signal is a time domain signal, and the antenna domain receiving signal has a dimension of N 1 , N 1 is an integer greater than 1.
  • the obtaining module 402 is configured to obtain a received beam weight, where the received beam weight is determined according to channel information of the UE, where the received beam weights determined according to different channel information are different.
  • the dimension reduction module 403 is configured to perform dimension reduction on the received signal of the antenna domain by using the received beam weight to obtain a beam domain received signal, where the received signal is a frequency domain signal, and the dimension of the received signal in the beam domain is N 2 , 0 ⁇ N 2 ⁇ N 1 .
  • the RRS after receiving the antenna domain receiving signal by the receiving module, the RRS may determine the receiving beam weight according to the channel information of the UE by using the acquiring module, and adopt the dimension reduction module.
  • Receive beam weights perform dimensionality reduction on the received antenna domain received signals to obtain beam domain received signals. Since the received beam weights determined by different channel information are different, the beam domains obtained by differentiating the received antennas for different antenna domains are obtained. The dimensions of the received signals may be different, increasing the flexibility of data dimensionality reduction.
  • the obtaining module 402 may include:
  • the obtaining submodule 4021 is configured to acquire channel information of the UE.
  • the determining submodule 4022 is configured to determine a received beam weight according to channel information of the UE.
  • the acquisition module can be used to:
  • the channel information of each UE is acquired according to the SRS transmitted to each UE; the received beam weight is determined according to the channel information of each UE.
  • the acquisition module can be used to:
  • the determining sub-module can be used for:
  • the received beam weight is determined based on the channel information of the UE, based on the maximum target signal received energy criterion.
  • determining sub-module can be used to:
  • the number of spatially multiplexed UEs is M
  • i is an integer and 1 ⁇ i ⁇ M.
  • H a channel response matrix of the antenna domain
  • the acquisition module can also be used to:
  • the received beam weight is determined by the RCC according to channel information of the UE.
  • the device 40 may further include:
  • the supplementing module 404 is configured to add a target receiving beam signal to the beam domain receiving signal to obtain an updated beam domain receiving signal, where the target receiving beam signal is n preset fixed direction supplementary receiving beam received signals, or The target received beam signal is a signal received by the supplemental receive beam of n directivity predicted according to the multipath direction and the moving direction of the user channel, and n is a positive integer.
  • the supplemental module may be configured to: determine a supplemental beam weight of the receive beam with an angle of arrival ⁇
  • d is the spacing between the array antennas
  • ⁇ is the wavelength of the receiving beam
  • N 1 is the number of array antennas
  • n supplemental receive beams are determined according to the target supplemental beam weights.
  • the device 40 may further include:
  • the determining module 405 is configured to determine, according to channel information of the UE or a priority of the UE, a number of supplemental receive beams.
  • the channel information of the UE may include a signal to noise ratio of the user channel, a moving speed of the UE, a spreading angle of the UE, and a multipath number of the user channel.
  • the priority of the UE may be determined by the service type of the UE.
  • the device 40 may further include:
  • the adjustment module 406 is configured to adjust the data bit width of the eCPRI according to the preset measurement value.
  • the transmission module 407 is configured to transmit the beam domain receiving signal to the RCC through the eCPRI.
  • the transmission module 407 can be used to:
  • the beam domain received signal in the user-scheduled bandwidth is transmitted to the RCC by eCPRI.
  • the RRS after receiving the antenna domain receiving signal by the receiving module, the RRS may determine the receiving beam weight according to the channel information of the UE by using the acquiring module, and adopt the dimension reduction module.
  • Receive beam weights perform dimensionality reduction on the received antenna domain received signals to obtain beam domain received signals. Since the received beam weights determined by different channel information are different, the beam domains obtained by differentiating the received antennas for different antenna domains are obtained. The dimensions of the received signals may be different, increasing the flexibility of data dimensionality reduction.
  • An embodiment of the present invention provides a data dimensionality reduction system, where the system may include: an RCC and multiple RSSs, at least one The RSS includes the apparatus 40 shown in any of Figures 4-1 and 4-3 to 4-5, and the plurality of RRSs are connected to the RCC via the common public radio interface eCPRI.
  • multiple RRSs 102 are connected to the RCC 101 through a fiber in a cascade manner.
  • each RRS needs to use the above data according to the total traffic of the data to be transmitted by the multiple RRSs.
  • the dimension method performs dimensionality reduction on the received antenna domain received signal.
  • multiple RRSs 102 are connected to the RCC 101 through a fiber through a star connection.
  • each RRS is connected to a certain base station device through a fiber with a bandwidth of 25 gigabits. After a plurality of fibers corresponding to the plurality of RRSs are aggregated, the optical fibers having a bandwidth of 30 Gigabits can be used.
  • the data to be transmitted by the RRS is transmitted to the RCC. Since the data to be transmitted by multiple RRSs needs to be transmitted to the RCC by the optical fiber with a bandwidth of 30 Gigabits, each RRS needs to be bound by the bandwidth of the optical fiber of 30 Gigabit.
  • the total traffic of the data that needs to be transmitted by the multiple RRSs is reduced by using the above data reduction method to receive the received antenna domain received signals.
  • the RRS may determine the receiving beam weight according to the channel information of the UE by using the acquiring module, and adopt the dimension reduction module.
  • Receive beam weights perform dimensionality reduction on the received antenna domain received signals to obtain beam domain received signals. Since the received beam weights determined by different channel information are different, the beam domains obtained by differentiating the received antennas for different antenna domains are obtained. The dimensions of the received signals may be different, increasing the flexibility of data dimensionality reduction.
  • FIG. 6-1 is a schematic structural diagram of a network device according to an exemplary embodiment of the present invention.
  • the network device 10 may be the RCC 101 or the RRS 102 or the UE 103 described above, and the network device 10 includes a processor 12 and a network interface 14.
  • Processor 12 includes one or more processing cores.
  • the processor 12 executes various functional applications and data processing by running software programs and units.
  • Network interfaces 14 There may be multiple network interfaces 14, which are used to communicate with other storage devices or network devices.
  • the network device 10 further includes components such as a memory 16, a bus 18, and the like.
  • the memory 16 and the network interface 14 are connected to the processor 12 via a bus 18, respectively.
  • Memory 16 can be used to store software programs as well as units. Specifically, the memory 16 can store the operating system 162, the application unit 164 required for at least one function.
  • the operating system 162 can be an operating system such as Real Time eXecutive (RTX), LINUX, UNIX, WINDOWS, or OS X.
  • FIG. 6-2 is a schematic diagram of an application unit according to the embodiment shown in FIG. 6-1. As shown in FIG. 6-2, when the network device 10 is the RRS 102, the application unit is used. 164 may be a receiving unit 164a, an obtaining unit 164b, and a dimension reducing unit 164c.
  • the receiving unit 164a has the same or similar function as the receiving module 401.
  • the acquisition unit 164b has the same or similar function as the acquisition module 402.
  • the dimension reduction unit 164c has the same or similar function as the dimension reduction module 403.
  • a person skilled in the art may understand that all or part of the steps of implementing the above embodiments may be completed by hardware, or may be instructed by a program to execute related hardware, and the program may be stored in a computer readable storage medium.
  • the storage medium mentioned may be a read only memory, a magnetic disk or an optical disk or the like.

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Abstract

一种数据降维方法、装置及系统、计算机设备及存储介质，涉及通信领域，所述方法包括：接收天线域接收信号（201），所述天线域接收信号包括RRS对应的阵列天线接收到的用户设备UE发送的上行信号，所述天线域接收信号为时域信号，所述天线域接收信号的维度为N 1，所述N 1为大于1的整数；获取接收波束权值，所述接收波束权值是根据所述UE的信道信息确定的，其中，根据不同的信道信息确定的接收波束权值不同（202）；采用所述接收波束权值对所述天线域接收信号进行降维，得到波束域接收信号（203），所述波束域接收信号为频域信号，所述波束域接收信号的维度为N 2，0＜N 2＜N 1。所述方法解决了相关技术中数据降维的灵活性较低的问题。

Description

数据降维方法、装置及系统、计算机设备及存储介质 技术领域
本申请涉及通信领域，特别涉及一种数据降维方法、装置及系统、计算机设备及存储介质。
背景技术
随着第五代移动通信技术(fifth-generation，5G)无线网络中空口带宽和天线数的增加，通用公共无线电接口(Common Public Radio Interface，CPRI)作为无线网络中基带单元(Base Band Unit，BBU)和射频拉远单元(Radio Remote Unit，RRU)的接口，其带宽要求越来越高。
由于集中化处理、协作式无线电和云计算的无线接入网络(Centralized，Cooperative，Cloud and Clean-Radio Access Network；C-RAN)架构具有快速网络部署、节省空间、方便运维、易结合站间合作和易载波扩充等优势，成为了主流的网络架构。在C-RAN架构下BBU集中化部署，传统的BBU或RRU功能切分中，RRU通过CPRI将从各天线接收到的时域数据(也即是天线域的时域数据)传输至BBU，由于RRU和BBU之间的地理距离可能拉开很远，例如，地理距离较近的多个RRU通常可以采用星型连接，再将多个RRU从天线接收到的时域数据汇总到一条光纤上进行传输，此时多个RRU需要共用一定带宽的CPRI传输时域数据，时域数据的维度较高，现有的光纤容量可能无法满足同时传输多个RRU接收到的时域数据，因此需要对RRU从天线接收到的时域数据进行降维，以满足数据传输的需求。
相关技术中，通过5G无线网络的基站设备中基带处理功能与远端射频处理功能之间的接口(eCPRI)重新划分了BBU和RRU的功能，将传统的BBU的部分处理功能(例如将天线域的时域数据降维至波束域的频域数据的功能)转移至RRU。由于相对于传统的BBU和RRU的功能发生了改变，将5G无线网络的基站设备中的BBU的名称重新定义为无线云中心(Radio Cloud Center，RCC)，将RRU的名称重新定义为射频拉远系统(Radio Remote System，RRS)。在5G无线网络的基站设备中，在RRS即可将天线域的时域数据降维至波束域的频域数据，RRS通过eCPRI传输频域数据至RCC，RCC根据接收到的频域数据进行信道估计和信道均衡。
但是，相关技术中在RRS将天线域的时域数据降维至波束域的频域数据时，采用预设的波束域权值对数据进行降维，此数据降维的灵活性较低。
发明内容
为了解决相关技术中数据降维的灵活性较低的问题，本申请提供了一种数据降维方法、装置及系统、计算机设备及存储介质。所述技术方案如下：
第一方面，提供一种数据降维方法，应用于射频拉远系统RRS，所述RRS通过通用公 共无线电接口eCPRI与无线云中心RCC连接，所述方法包括：
接收天线域接收信号，所述天线域接收信号包括所述RRS对应的阵列天线接收到的用户设备UE发送的上行信号，所述天线域接收信号为时域信号，所述天线域接收信号的维度为N1，所述N1为大于1的整数；
获取接收波束权值，所述接收波束权值是根据所述UE的信道信息确定的，其中，根据不同的信道信息确定的接收波束权值不同；
采用所述接收波束权值对所述天线域接收信号进行降维，得到波束域接收信号，所述波束域接收信号为频域信号，所述波束域接收信号的维度为N2，0＜N2＜N1。
本发明实施例提供的数据降维方法，RRS在接收到天线域接收信号后，可以根据UE的信道信息确定接收波束权值，并采用接收波束权值对接收到的天线域接收信号进行降维，以得到波束域接收信号，由于不同的信道信息确定的接收波束权值不同，因此针对不同的天线域接收信号降维得到的波束域接收信号的维度可能不同，提高了数据降维的灵活性。
需要说明的是，采用接收波束权值对天线域接收信号进行降维，得到波束域接收信号，也即是采用接收波束权值确定自适应接收波束，通过自适应接收波束接收信号。
在本发明实施例中，一方面，RRS获取接收波束权值的方法可以包括：
获取所述UE的信道信息；根据所述UE的信道信息确定所述接收波束权值。
相应的，所述获取接收波束权值，包括：
根据向每个UE发送的周期性信道探测信号SRS，获取每个所述UE的信道信息；
根据所述每个UE的信道信息确定所述接收波束权值。
或者，所述获取接收波束权值，包括：
根据向每个UE发送的解调参考信号DMRS，获取每个所述UE的信道信息；
根据所述每个UE的信道信息确定所述接收波束权值。
示例的，所述根据所述UE的信道信息确定所述接收波束权值，包括：
根据所述UE的信道信息，基于最大化目标信号接收能量准则确定所述接收波束权值。
具体的，所述根据所述UE的信道信息，基于最大化目标信号接收能量准则确定所述接收波束权值，包括：
根据所有UE的信道信息，确定空分复用的所述UE的个数为M，天线域的信道响应矩阵为H＝[H1,H2,...,HM],其中，Hi＝N1×Li，Li为第i个所述UE的空分复用层数，所述M为大于1的整数，所述N1为所述RRS对应的阵列天线的数量；
按照所述最大化目标信号接收能量准则，确定所述接收波束权值为W＝[W1,W2,...,WM]-1，其中，
Figure PCTCN2017094908-appb-000001
其中，i为整数且1≤i≤M。
示例的，所述接收波束权值为干扰白化权值，所述根据所述UE的信道信息确定所述接收波束权值，还可以包括：
根据所有UE的信道信息，确定天线域的信道响应矩阵为H＝[H1,H2,...,HM]，所述M为所述所有UE的个数；
根据所述信道响应矩阵，确定所述接收波束权值为
Figure PCTCN2017094908-appb-000002
其中，Ruu为干扰协方差矩阵。
另一方面，RRS获取接收波束权值，可以包括：
接收所述RCC发送的所述接收波束权值，所述接收波束权值是所述RCC根据所述UE的信道信息确定的。
由上可知，RRS获取的接收波束权值可以为由RRS根据UE的信道信息确定的，也可以为由RCC根据UE的信道信息确定后发送给RRS的。
进一步的，在所述采用所述接收波束权值对所述天线域接收信号进行降维，得到波束域接收信号之后，所述方法还包括：
在所述波束域接收信号中增补目标接收波束信号，得到更新后的波束域接收信号，所述目标接收波束信号为n个预设的固定方向的增补接收波束接收的信号，或者所述目标接收波束信号为根据用户信道的多径方向和移动方向预测的n个方向性的增补接收波束接收的信号，所述n为正整数。
由于信道是变化的，在自适应接收波束的基础上增加增补接收波束，可以提高接收波束的鲁棒性。
其中，根据用户信道的多径方向和移动方向预测n个方向性的增补接收波束，可以包括：
确定到达角为θ的接收波束的增补波束权值为
Figure PCTCN2017094908-appb-000003
其中，d为所述阵列天线之间的间距，λ为所述接收波束的波长，N1为所述阵列天线的个数；
确定目标增补波束权值为
Figure PCTCN2017094908-appb-000004
根据所述目标增补波束权值确定n个增补接收波束。
需要说明的是，在所述为所述波束域接收信号增补目标接收波束信号之前，所述方法还包括：
根据所述UE的信道信息或者所述UE的优先级确定所述增补接收波束的个数。
其中，UE的信道信息包括用户信道的信噪比、UE的移动速度、UE的扩展角和用户信道的多径个数。例如扩展角大的UE，能量分散在较多的接收波束上，可以增加增补接收波束的个数以全面的接收能量；受其它小区中的UE干扰较大的UE可以增加较多的增补接收波束以保证该UE的通信质量。
需要说明的是，eCPRI的传输流量由空口带宽和接收波束的个数决定，在保证总传输流量不超过eCPRI的传输流量的前提下，为了提高移动的UE的接收波束的准确性，可以使移动的UE的增补接收波束的个数大于静止的UE的增补接收波束的个数，也即是，在确定增补接收波束的个数时，可以使增补接收波束的个数与UE的移动速度正相关。当eCPRI中调度带宽未满时，在光纤容量一定的情况下，可以给调度带宽上的用户分配更多的增补接收波束，以提升系统覆盖和容量。且根据UE的信道信息，在有限的光纤容量下可以为不同的UE分配不同的增补接收波束的个数，以实现系统性能的最优化。
另外，UE的优先级可以由UE的业务类型、信号是否重传等确定，例如业务类型可以包括家庭用户、企业专线和专网业务等，相对于家庭用户的UE，专网业务的UE的增补接收波束的个数较大。
自适应调整增补接收波束的个数，最大化接收能量和提升多天线维度，将从增补接收 波束接收的频域数据传输给RRS进行信道估计和均衡，可以在光纤容量有限的情况下提升系统覆盖及容量。
进一步的，在所述得到波束域接收信号之后，所述方法还包括：
根据预设的测量值，调整所述eCPRI的数据位宽；
通过所述eCPRI将所述波束域接收信号传输至RCC。
可选的，预设的测量值可以包括不同的UE、用户信道的信噪比或干扰强度等测量值。
示例的，对于用户信道的信噪比较低的UE，在不影响信噪比的情况下，可以使用较少的量化数据位宽表示该UE发送的上行信号。通过调度用户的信噪比确定该UE所在的带宽的数据位宽，可以降低eCPRI的传输流量，从而可以在一定的eCPRI的传输流量下，可以调度更多的UE。
其中，所述通过所述eCPRI将所述波束域接收信号传输至RCC，包括：
通过所述eCPRI将有用户调度的带宽中的所述波束域接收信号传输至RCC。
示例的，可以根据系统当前时刻的调度带宽和控制信道的占用带宽，只传输有用户调度的带宽的频域数据(波束域接收信息)至RCC。例如系统当前时刻的带宽为20兆，有用户调度的带宽为10兆，则RRS可以只传输有用户调度的10兆带宽至RCC，可以在有限的传输带宽下，保证系统能够调度的用户的数量。
又例如，信道可以采用梳分形式(间隔一个或多个子载波)的资源分配方式，也即是资源间隔占用，例如DMRS的信道和SRS的信道即采用梳分形式的资源分配方式，在RRS通过eCPRI向RCC传输数据时，可以调整频域数据的频域点数，只传输分配有资源的频域数据。
第二方面，提供了一种数据降维装置，应用于射频拉远系统RRS，所述RRS通过通用公共无线电接口eCPRI与无线云中心RCC连接，所述装置包括：至少一个模块，该至少一个模块用于实现上述第一方面所提供的数据降维方法。
第三方面，提供了一种数据降维系统，所述系统包括：RCC和多个RSS，至少一个所述RSS包括第二方面所述的装置，多个所述RRS通过eCPRI与所述RCC连接。
第四方面，提供了一种计算机设备，包括：存储器，处理器及存储在存储器上并可以在处理器上运行的计算机程序，所述处理器执行所述计算机程序时，实现上述第一方面所提供的数据降维方法。
第五方面，提供了一种计算机可读存储介质，所述计算机可读存储介质上存储有指令，当所述指令被处理器执行时，实现上述第一方面所提供的数据降维方法。该计算机可读存储介质为非瞬时性(non-transitory)计算机可读存储介质。
第六方面，提供了一种包含指令的计算机程序产品，当其在计算机设备上运行时，使得计算机设备实现上述第一方面所提供的数据降维方法。
本申请提供的技术方案的有益效果是：
本发明实施例提供的数据降维方法、装置及系统、计算机设备及存储介质，RRS在接收到天线域接收信号后，可以根据UE的信道信息确定接收波束权值，并采用接收波束权值对接收到的天线域接收信号进行降维，以得到波束域接收信号，由于不同的信道信息确定的接收波束权值不同，因此针对不同的天线域接收信号降维得到的波束域接收信号的维度可能不同，提高了数据降维的灵活性。
附图说明
图1是本发明实施例提供的一种数据降维方法所涉及的实施环境的示意图；
图2是本发明实施例提供的一种数据降维方法的流程图；
图3-1是本发明实施例提供的一种接收波束的示意图；
图3-2是本发明实施例提供的另一种接收波束的示意图；
图4-1是本发明实施例提供的一种数据降维装置的结构示意图；
图4-2是本发明实施例提供的一种获取模块的结构示意图；
图4-3是本发明实施例提供的另一种数据降维装置的结构示意图；
图4-4是本发明实施例提供的又一种数据降维装置的结构示意图；
图4-5是本发明实施例提供的再一种数据降维装置的结构示意图；
图5-1是本发明实施例提供的一种数据降维系统的结构示意图；
图5-2是本发明实施例提供的另一种数据降维系统的结构示意图；
图6-1是本发明实施例提供的一种网络设备的结构示意图；
图6-2是图6-1所示实施例涉及的一种应用程序单元的示意图。
具体实施方式
为使本申请的目的、技术方案和优点更加清楚，下面将结合附图对本申请实施方式作进一步地详细描述。
请参考图1，图1是本发明实施例提供的一种数据降维方法所涉及的实施环境的示意图，该实施环境可以包括RCC101、至少一个RRS102和至少一个用户设备(User equipment，UE)103。
其中，RRS102和RCC101为基站设备。RRS102与RCC101之间通过光纤等连接组件进行连接，RRS102通过馈线与天线连接，并通过天线与UE103进行通信。
传统的BBU和RRU的接口为CPRI，目前，通过接口重新划分BBU和RRU的功能后，将5G无线网络的基站设备中的BBU的名称重新定义为RCC，将RRU的名称重新定义为RRS，为了区分传统的BBU和RRU的接口，将RCC和RRS的接口名称定义为eCPRI。
在上行链路中，RRS102可以通过天线接收UE103发送的上行信号，并对该上行信号进预处理，将预处理过的信号通过eCPRI传输至RCC101。
示例的，以长期演进(Long Term Evolution，LTE)网络为例，上行基带处理和下行基带处理可以划分为载荷相关的用户级处理和载荷无关的小区级处理。eCPRI划分RRS和RCC的功能如表1，其中，RRS完成信号采样/恢复、资源映射/解映射和数据降维处理，RCC完成信道映射和预编码、信道估计和均衡、调制/解调制、比特级处理、无线电路控制以及分组数据汇聚等处理。“/”表示或。
其中，信号采样/恢复以及资源映射/解映射为载荷无关的小区级处理，其他处理均为载荷相关的用户级处理。且信道估计和均衡不仅为载荷相关的用户级处理，信道估计和均衡处理的复杂度还与用于接收信号的阵列天线的数量正相关。
表1
Figure PCTCN2017094908-appb-000005
从表1可以得出，在上行链路中，RRS可以对接收到的上行信号(即时域数据)进行降维处理，得到波束域接收信号(即频域数据)，并将该波束域接收信号通过eCPRI传输至RCC。
但是，相关技术中在RRS将天线域的时域数据降维至波束域的频域数据时，采用预设的固定的波束域权值对数据进行降维，也即是针对不同的UE、不同的UE个数和调度带宽采用相同的波束域权值对数据进行降维，数据降维的灵活性较低。
为了解决相关技术中数据降维的灵活性较低的问题，本发明实施例提供了一种数据降维方法，可以应用于RRS，如图2所示，该方法可以包括：
步骤201、RRS接收天线域接收信号。
其中，天线域接收信号包括RRS对应的阵列天线接收到的UE发送的上行信号，该天线域接收信号为时域信号，该天线域接收信号的维度为N1，N1为大于1的整数。其中，一个RRS可以对应多个天线。
需要说明的是，通常一个RRS管理一个小区，天线域接收信号也即是RRS所管理的小区的天线接收到的小区内的所有UE发送的上行信号。
示例的，UE发送上行信号X，RRS对应的阵列天线的数量为N1,天线域接收信号Y为对每个天线单独采样得到的，可以表示为：Y＝HX+K,其中，天线域接收信号的维度为N1，H为天线域的信道响应矩阵，该信道响应矩阵包括每个UE到阵列天线的信道响应，K为一常量，H的行数等于N1。
步骤202、RRS获取接收波束权值，该接收波束权值是根据UE的信道信息确定的，其中，根据不同的信道信息确定的接收波束权值不同。
可选的，RRS获取接收波束权值的方式可以有多种，例如，由RRS直接获取，即RRS获取UE的信道信息；根据UE的信道信息确定接收波束权值；又例如，由RCC获取并下发给RRS，即RCC根据UE的信道信息确定接收波束权值，RRS接收该RCC发送的接收波束权值。
本发明实施例以该接收波束权值由RRS根据UE的信道信息确定为例进行说明，RCC根据UE的信道信息确定接收波束权值的方法可以参考RRS根据UE的信道信息确定接收波束权值的方法，本发明实施例在此不做赘述。
示例的，RRS可以根据向每个UE发送的周期性信道探测信号(Sounding Reference  Signal，SRS)，获取每个UE的信道信息；根据每个UE的信道信息确定接收波束权值；或者，RRS可以根据向每个UE发送的解调参考信号(Demodulation Reference Signal，DMRS)，获取每个UE的信道信息；根据每个UE的信道信息确定接收波束权值。
可选的，RRS可以根据UE的信道信息，基于最大化目标信号接收能量准则、最大化目标信号信噪比准则或最大化目标信号信干噪比准则等准则确定接收波束权值。
示例的，RRS根据UE的信道信息，基于最大化目标信号接收能量准则确定接收波束权值的方法可以包括：
S11、根据所有UE的信道信息，确定空分复用的UE的个数为M，天线域的信道响应矩阵为H＝[H1,H2,...,HM],其中，Hi＝N1×Li，Li为第i个UE的空分复用层数，M为大于1的整数，N1为RRS对应的阵列天线的数量。
需要说明的是，空分复用(Space Division Multiplexing，SDM)即采用自适应阵列天线，在不同的UE方向上形成不同的波束，每个波束可为一个UE提供一个无其他UE干扰的唯一用户信道。
其中，所有UE的信道信息包括每个UE到RRS所管理的小区中所有天线的信道信息。
S12、按照最大化目标信号接收能量准则，确定接收波束权值为W＝[W1,W2,...,WM]-1，其中，
Figure PCTCN2017094908-appb-000006
其中，i为整数且1≤i≤M，接收波束权值的维度为N2×N1。
示例的，RRS根据UE的信道信息，基于最大化目标信号信干噪比准则确定接收波束权值的方法可以包括：
S21、根据所有UE的信道信息，确定天线域的信道响应矩阵为H＝[H1,H2,...,HM]，M为所有UE的个数。
其中，所有UE的信道信息包括每个UE到本小区的所有天线的信道信息。
S22、根据信道响应矩阵，确定接收波束权值为
Figure PCTCN2017094908-appb-000007
其中，Ruu为干扰协方差矩阵。
其中，该接收波束权值即为干扰白化权值，干扰白化权值为将有色噪声(即在各个天线上有相关性的干扰)变成白噪声的权值，干扰协方差矩阵是根据其它小区(也即是其它RRS所管理的小区)的UE的干扰信号确定的，基于上述公式得到的接收波束权值的维度为N2×N1。
步骤203、RRS采用接收波束权值对天线域接收信号进行降维，得到波束域接收信号。
其中，波束域接收信号为频域信号，波束域接收信号的维度为N2，0＜N2＜N1。
可选的，天线域接收信号Y为：Y＝HX+K，接收波束权值为W，则波束域接收信号Y’可以表示为：Y'＝W(HX+K)。其中，天线域接收信号Y的维度为N1，接收波束权值的维度为N2×N1，则根据上式可以确定波束域接收信号Y’的维度为N2。
图3-1为本发明实施例提供的接收波束的示意图，如图3-1所示，UE1发射的上行信号对应的波束域接收信号是由自适应接收波束1接收的。采用接收波束权值对天线域接收信号进行降维，得到波束域接收信号，也即是采用接收波束权值确定自适应接收波束，通过自适应接收波束接收信号。该自适应接收波束为用于接收波束域接收信号的波束。
示例的，假设RRS对应N1个天线，在采用接收波束权值确定自适应接收波束后，该自 适应接收波束由N2个天线形成，采用该自适应接收波束接收的天线域接收信号的维度为N2，也即是采用该自适应接收波束接收的信号为RRS实际传输给RCC的波束域接收信号，从而实现了对天线域接收信号的降维。
需要说明的是，自适应接收波束可依据UE的上行信号在空间传播的不同路径，较好地形成方向图，在不同到达方向上给予不同的天线增益，实时地形成窄波束对准上行信号，而在其他方向尽量压低旁瓣，采用指向性接收，从而提高系统的容量。
由于移动台的移动性以及散射环境，RRS接收到的上行信号的到达方向是时变的，使用自适应接收波束可以将频率相近但空间可分离的信号分离开，并跟踪这些信号，调整阵列天线的加权值，使阵列天线的波束指向目标信号的方向。通过自适应接收波束接收信号，可以使得接收波束方向较为精准，或干扰抑制效果较好，将自适应接收波束的频域数据传输给基带进行信道估计和均衡，在光纤容量有限的情况下提升系统覆盖及容量。
步骤204、RRS根据UE的信道信息或者UE的优先级确定增补接收波束的个数。
在信道变化的情况下，为了提高接收波束的鲁棒性，可以在自适应接收波束的基础上增加增补接收波束。该增补接收波束可以为本小区内接收能量最强的n个固定接收波束，或者，该增补接收波束还可以为根据用户信道的多径方向和移动方向预测的n个方向性的的接收波束，其中n为正整数。
其中，UE的信道信息包括用户信道的信噪比、UE的移动速度、UE的扩展角和用户信道的多径个数。例如扩展角大的UE，能量分散在较多的接收波束上，可以增加增补接收波束的个数以全面的接收能量；受其它小区中的UE干扰较大的UE可以增加较多的增补接收波束以保证该UE的通信质量。
需要说明的是，eCPRI的传输流量由空口带宽和接收波束的个数决定，在保证总传输流量不超过eCPRI的传输流量的前提下，为了提高移动的UE的接收波束的准确性，可以使移动的UE的增补接收波束的个数大于静止的UE的增补接收波束的个数，也即是，在确定增补接收波束的个数时，可以使增补接收波束的个数与UE的移动速度正相关。当eCPRI中调度带宽未满时，在光纤容量一定的情况下，可以给调度带宽上的用户分配更多的增补接收波束，以提升系统覆盖和容量。且根据UE的信道信息，在有限的光纤容量下可以为不同的UE分配不同的增补接收波束的个数，以实现系统性能的优化。
另外，UE的优先级可以由UE的业务类型、信号是否重传等确定，例如业务类型可以包括家庭用户、企业专线和专网业务等，相对于家庭用户的UE，专网业务的UE的增补接收波束的个数较大(也即是专网业务的UE的优先级大于家庭用户的UE)；需要重传信号的UE的优先级大于初始上传信号的UE的优先级。
自适应调整增补接收波束的个数，可以增加接收能量和提升多天线维度，将从增补接收波束接收的频域数据传输给RRS进行信道估计和均衡，可以在光纤容量有限的情况下提升系统覆盖及容量。
步骤205、RRS在波束域接收信号中增补n个目标接收波束信号，得到更新后的波束域接收信号。
可选的，目标接收波束信号可以为n个预设的固定方向的增补接收波束接收的信号，例如增补接收波束可以为本小区内接收能量最强的n个固定接收波束，其中n为正整数。示例的，图3-2为本发明实施例提供的接收波束的示意图，如图3-2所示，接收波束可以包 括波束1和波束2，波束1为自适应接收波束，波束2为固定接收波束，固定接收波束2指向的方向与自适应接收波束1指向的方向不同。UE1发射的上行信号可以由RRS通过自适应接收波束1和固定接收波束2分别接收，自适应接收波束1接收的信号即为波束域接收信号，固定接收波束2接收的信号即为目标接收波束信号。
可选的，目标接收波束信号还可以为根据用户信道的多径方向和移动方向预测的n个方向性的增补接收波束接收的信号，其中n为正整数。其中，根据用户信道的多径方向和移动方向预测n个方向性的增补接收波束的方法，可以包括：
S51、确定到达角为θ的接收波束的增补波束权值为：
Figure PCTCN2017094908-appb-000008
其中，d为阵列天线之间的间距，λ为接收波束的波长，N1为阵列天线的个数，到达角θ为UE与阵列天线的法线的夹角。
S52、确定目标增补波束权值为
Figure PCTCN2017094908-appb-000009
S53、根据目标增补波束权值确定n个增补接收波束。
需要说明的是，每个增补接收波束接收的信号的维度为1×N1，目标接收波束信号Y”可以表示为：Y”＝W增补(HX+K)。
步骤205、根据预设的测量值，调整eCPRI的数据位宽。
可选的，预设的测量值可以包括不同的UE、用户信道的信噪比或干扰强度等测量值。
示例的，对于用户信道的信噪比较低的UE，在不影响信噪比的情况下，可以使用较少的量化数据位宽表示该UE发送的上行信号。通过调度用户的信噪比确定该UE所在的带宽的数据位宽，可以降低eCPRI的传输流量，从而可以在一定的eCPRI的传输流量下，调度更多的UE。
步骤206、RRS通过eCPRI将波束域接收信号传输至RCC。
可选的，RRS可以通过eCPRI将有用户调度的带宽中的波束域接收信号传输至RCC。
示例的，可以根据系统当前时刻(实际应用中，系统时间是以帧为单位计数的)的调度带宽和控制信道的占用带宽，只传输有用户调度的带宽的频域数据(波束域接收信息)至RCC。例如系统当前时刻的带宽为20兆，有用户调度的带宽为10兆，则RRS可以只传输有用户调度的10兆带宽至RCC，可以在有限的传输带宽下，保证系统能够调度的用户的数量。
又例如，信道可以采用梳分形式(间隔一个或多个子载波)的资源分配方式，也即是资源间隔占用，例如DMRS的信道和SRS的信道即采用梳分形式的资源分配方式，在RRS通过eCPRI向RCC传输数据时，可以调整频域数据的频域点数，只传输分配有资源的频域数据。
需要说明的是，在本发明实施例中，针对不同的物理信道，如业务信道和控制信道，可以根据解调要求和性能需要等实际需求，以不同的降维目标进行降维，以不同的降维目标降维后的自适应接收波束的方向和个数不同、增补接收波束的个数不同以及UE所在的带宽的数据位宽不同。例如，控制信道对解调的稳定性需求更高，因此可以为控制信道添加更多的增补接收波束。
本发明实施例提供的数据降维方法，既可以应用于集中式网络架构(即RCC集中化部 署的架构)中的RRS，也可以应用于分布式网络架构(即RCC分散部署的架构)中的RRS。
需要说明的是，本发明实施例提供的数据降维方法的步骤的先后顺序可以进行适当调整，步骤也可以根据情况进行相应增减，任何熟悉本技术领域的技术人员在本发明揭露的技术范围内，可轻易想到变化的方法，都应涵盖在本申请的保护范围之内，因此不再赘述。
综上所述，本发明实施例提供的数据降维方法，RRS在接收到天线域接收信号后，可以根据UE的信道信息确定接收波束权值，并采用接收波束权值对接收到的天线域接收信号进行降维，以得到波束域接收信号，由于不同的信道信息确定的接收波束权值不同，因此针对不同的天线域接收信号降维得到的波束域接收信号的维度可能不同，提高了数据降维的灵活性。
本发明实施例提供了一种数据降维装置，应用于RRS，该RRS通过eCPRI与RCC连接，如图4-1所示，该装置40可以包括：
接收模块401，用于接收天线域接收信号，该天线域接收信号包括RRS对应的阵列天线接收到的用户设备UE发送的上行信号，天线域接收信号为时域信号，天线域接收信号的维度为N1，N1为大于1的整数。
获取模块402，用于获取接收波束权值，该接收波束权值是根据UE的信道信息确定的，其中，根据不同的信道信息确定的接收波束权值不同。
降维模块403，用于采用接收波束权值对天线域接收信号进行降维，得到波束域接收信号，该波束域接收信号为频域信号，波束域接收信号的维度为N2，0＜N2＜N1。
综上所述，本发明实施例提供的数据降维装置，RRS在通过接收模块接收到天线域接收信号后，可以通过获取模块根据UE的信道信息确定接收波束权值，并通过降维模块采用接收波束权值对接收到的天线域接收信号进行降维，以得到波束域接收信号，由于不同的信道信息确定的接收波束权值不同，因此针对不同的天线域接收信号降维得到的波束域接收信号的维度可能不同，提高了数据降维的灵活性。
可选的，如图4-2所示，获取模块402，可以包括：
获取子模块4021，用于获取UE的信道信息。
确定子模块4022，用于根据UE的信道信息确定接收波束权值。
相应的，获取模块，可以用于：
根据向每个UE发送的SRS，获取每个UE的信道信息；根据每个UE的信道信息确定接收波束权值。
或者，获取模块，可以用于：
根据向每个UE发送的DMRS，获取每个UE的信道信息；根据每个UE的信道信息确定接收波束权值。
其中，确定子模块，可以用于：
根据UE的信道信息，基于最大化目标信号接收能量准则确定接收波束权值。
进一步的，确定子模块，可以用于：
根据所有UE的信道信息，确定空分复用的UE的个数为M，天线域的信道响应矩阵为H＝[H1,H2,...,HM],其中，Hi＝N1×Li，Li为第i个UE的空分复用层数，M为大于1的整数，N1为RRS对应的阵列天线的数量；
按照最大化目标信号接收能量准则，确定接收波束权值为W＝[W1,W2,...,WM]-1，其中，
Figure PCTCN2017094908-appb-000010
其中，i为整数且1≤i≤M。
或者，确定子模块，可以用于：
根据所有UE的信道信息，确定天线域的信道响应矩阵为H＝[H1,H2,...,HM]，M为所有UE的个数；
根据信道响应矩阵，确定接收波束权值为
Figure PCTCN2017094908-appb-000011
其中，Ruu为干扰协方差矩阵。
可选的，获取模块，还可以用于：
接收RCC发送的接收波束权值，该接收波束权值是RCC根据UE的信道信息确定的。
进一步的，如图4-3所示，装置40还可以包括：
增补模块404，用于在波束域接收信号中增补目标接收波束信号，得到更新后的波束域接收信号，该目标接收波束信号为n个预设的固定方向的增补接收波束接收的信号，或者该目标接收波束信号为根据用户信道的多径方向和移动方向预测的n个方向性的增补接收波束接收的信号，n为正整数。
可选的，增补模块，可以用于：确定到达角为θ的接收波束的增补波束权值为
Figure PCTCN2017094908-appb-000012
其中，d为阵列天线之间的间距，λ为接收波束的波长，N1为阵列天线的个数；
确定目标增补波束权值为
Figure PCTCN2017094908-appb-000013
根据目标增补波束权值确定n个增补接收波束。
再进一步的，如图4-4所示，装置40还可以包括：
确定模块405，用于根据UE的信道信息或者UE的优先级确定增补接收波束的个数。
其中，UE的信道信息可以包括用户信道的信噪比、UE的移动速度、UE的扩展角和用户信道的多径个数；UE的优先级可以由UE的业务类型确定。
可选的，如图4-5所示，装置40还可以包括：
调整模块406，用于根据预设的测量值，调整eCPRI的数据位宽。
传输模块407，用于通过eCPRI将波束域接收信号传输至RCC。
相应的，传输模块407，可以用于：
通过eCPRI将有用户调度的带宽中的波束域接收信号传输至RCC。
综上所述，本发明实施例提供的数据降维装置，RRS在通过接收模块接收到天线域接收信号后，可以通过获取模块根据UE的信道信息确定接收波束权值，并通过降维模块采用接收波束权值对接收到的天线域接收信号进行降维，以得到波束域接收信号，由于不同的信道信息确定的接收波束权值不同，因此针对不同的天线域接收信号降维得到的波束域接收信号的维度可能不同，提高了数据降维的灵活性。
关于上述实施例中的装置，其中各个模块执行操作的具体方式已经在有关该方法的实施例中执行了详细描述，此处将不做详细阐述说明。
本发明实施例提供了一种数据降维系统，该系统可以包括：RCC和多个RSS，至少一 个RSS包括图4-1和图4-3至4-5任一所示的装置40，多个RRS通过通用公共无线电接口eCPRI与RCC连接。
可选的，如图5-1所示，多个RRS102通过光纤采用级联的方式与RCC101连接。
由于多个RRS需要采用同一光纤传输波束域接收信号至RCC，为了保证每个RRS上的数据可以有效传输至RCC，每个RRS需要根据该多个RRS需要传输的数据的总流量采用上述数据降维方法对接收到的天线域接收信号进行降维。
可选的，如图5-2所示，多个RRS102采用星型连接的方式通过光纤与RCC101连接。
例如，每个RRS通过一条带宽为25千兆的光纤与某一基站设备连接，多个RRS对应的多条光纤在该某一基站设备汇聚后，可以通过一条带宽为30千兆的光纤将各个RRS所需传输的数据传输至RCC，由于多个RRS需要传输的数据最终都需要由带宽为30千兆的光纤传输至RCC，因此每个RRS需要以光纤的带宽为30千兆为约束，根据该多个RRS需要传输的数据的总流量采用上述数据降维方法对接收到的天线域接收信号进行降维。
综上所述，本发明实施例提供的数据降维系统，RRS在通过接收模块接收到天线域接收信号后，可以通过获取模块根据UE的信道信息确定接收波束权值，并通过降维模块采用接收波束权值对接收到的天线域接收信号进行降维，以得到波束域接收信号，由于不同的信道信息确定的接收波束权值不同，因此针对不同的天线域接收信号降维得到的波束域接收信号的维度可能不同，提高了数据降维的灵活性。
请参考图6-1，其示出了本发明示例性实施例涉及的一种网络设备的结构示意图。该网络设备10可以是上述RCC101或者RRS102或者UE103，该网络设备10包括：处理器12和网络接口14。
处理器12包括一个或者一个以上处理核心。处理器12通过运行软件程序以及单元，从而执行各种功能应用以及数据处理。
网络接口14可以为多个，该网络接口14用于与其它存储设备或者网络设备进行通信。
可选的，网络设备10还包括存储器16、总线18等部件。其中，存储器16与网络接口14分别通过总线18与处理器12相连。
存储器16可用于存储软件程序以及单元。具体的，存储器16可存储操作系统162、至少一个功能所需的应用程序单元164。操作系统162可以是实时操作系统(Real Time eXecutive，RTX)、LINUX、UNIX、WINDOWS或OS X之类的操作系统。
请参考图6-2，图6-2是图6-1所示实施例涉及的一种应用程序单元的示意图，如图6-2所示，当网络设备10是RRS102时，该应用程序单元164可以是接收单元164a、获取单元164b和降维单元164c。
接收单元164a，具有与接收模块401相同或相似的功能。
获取单元164b，具有与获取模块402相同或相似的功能。
降维单元164c，具有与降维模块403相同或相似的功能。
本领域普通技术人员可以理解实现上述实施例的全部或部分步骤可以通过硬件来完成，也可以通过程序来指令相关的硬件完成，所述的程序可以存储于一种计算机可读存储介质中，上述提到的存储介质可以是只读存储器，磁盘或光盘等。
以上所述仅为本申请的可选实施例，并不用以限制本申请，凡在本申请的精神和原则之内，所作的任何修改、等同替换、改进等，均应包含在本申请的保护范围之内。

Claims (30)

  1. 一种数据降维方法，其特征在于，应用于射频拉远系统RRS，所述RRS通过通用公共无线电接口eCPRI与无线云中心RCC连接，所述方法包括：
    接收天线域接收信号，所述天线域接收信号包括所述RRS对应的阵列天线接收到的用户设备UE发送的上行信号，所述天线域接收信号为时域信号，所述天线域接收信号的维度为N1，所述N1为大于1的整数；
    获取接收波束权值，所述接收波束权值是根据所述UE的信道信息确定的，其中，根据不同的信道信息确定的接收波束权值不同；
    采用所述接收波束权值对所述天线域接收信号进行降维，得到波束域接收信号，所述波束域接收信号为频域信号，所述波束域接收信号的维度为N2，0＜N2＜N1。
  2. 根据权利要求1所述的方法，其特征在于，所述获取接收波束权值，包括：
    获取所述UE的信道信息；
    根据所述UE的信道信息确定所述接收波束权值。
  3. 根据权利要求2所述的方法，其特征在于，所述获取接收波束权值，包括：
    根据向每个UE发送的周期性信道探测信号SRS，获取每个所述UE的信道信息；
    根据所述每个UE的信道信息确定所述接收波束权值。
  4. 根据权利要求2所述的方法，其特征在于，所述获取接收波束权值，包括：
    根据向每个UE发送的解调参考信号DMRS，获取每个所述UE的信道信息；
    根据所述每个UE的信道信息确定所述接收波束权值。
  5. 根据权利要求2至4任一所述的方法，其特征在于，所述根据所述UE的信道信息确定所述接收波束权值，包括：
    根据所述UE的信道信息，基于最大化目标信号接收能量准则确定所述接收波束权值。
  6. 根据权利要求5所述的方法，其特征在于，所述根据所述UE的信道信息，基于最大化目标信号接收能量准则确定所述接收波束权值，包括：
    根据所有UE的信道信息，确定空分复用的所述UE的个数为M，天线域的信道响应矩阵为H＝[H1,H2,...,HM],其中，Hi＝N1×Li，Li为第i个所述UE的空分复用层数，所述M为大于1的整数，所述N1为所述RRS对应的阵列天线的数量；
    按照所述最大化目标信号接收能量准则，确定所述接收波束权值为W＝[W1,W2,...,WM]-1，其中，
    Figure PCTCN2017094908-appb-100001
    其中，i为整数且1≤i≤M。
  7. 根据权利要求2至4任一所述的方法，其特征在于，所述接收波束权值为干扰白化权值，所述根据所述UE的信道信息确定所述接收波束权值，包括：
    根据所有UE的信道信息，确定天线域的信道响应矩阵为H＝[H1,H2,...,HM]，所述M为所述所有UE的个数；
    根据所述信道响应矩阵，确定所述接收波束权值为
    Figure PCTCN2017094908-appb-100002
    其中，Ruu为干扰协方差矩阵。
  8. 根据权利要求1所述的方法，其特征在于，所述获取接收波束权值，包括：
    接收所述RCC发送的所述接收波束权值，所述接收波束权值是所述RCC根据所述UE 的信道信息确定的。
  9. 根据权利要求1所述的方法，其特征在于，在所述采用所述接收波束权值对所述天线域接收信号进行降维，得到波束域接收信号之后，所述方法还包括：
    在所述波束域接收信号中增补目标接收波束信号，得到更新后的波束域接收信号，所述目标接收波束信号为n个预设的固定方向的增补接收波束接收的信号，或者所述目标接收波束信号为根据用户信道的多径方向和移动方向预测的n个方向性的增补接收波束接收的信号，所述n为正整数。
  10. 根据权利要求9所述的方法，其特征在于，根据用户信道的多径方向和移动方向预测n个方向性的增补接收波束，包括：
    确定到达角为θ的接收波束的增补波束权值为
    Figure PCTCN2017094908-appb-100003
    其中，d为所述阵列天线之间的间距，λ为所述接收波束的波长，N1为所述阵列天线的个数；
    确定目标增补波束权值为
    Figure PCTCN2017094908-appb-100004
    根据所述目标增补波束权值确定n个增补接收波束。
  11. 根据权利要求10所述的方法，其特征在于，在所述为所述波束域接收信号增补目标接收波束信号之前，所述方法还包括：
    根据所述UE的信道信息或者所述UE的优先级确定所述增补接收波束的个数。
  12. 根据权利要求11所述的方法，其特征在于，
    所述UE的信道信息包括所述用户信道的信噪比、所述UE的移动速度、所述UE的扩展角和所述用户信道的多径个数；
    所述UE的优先级由所述UE的业务类型确定。
  13. 根据权利要求1所述的方法，其特征在于，在所述得到波束域接收信号之后，所述方法还包括：
    根据预设的测量值，调整所述eCPRI的数据位宽；
    通过所述eCPRI将所述波束域接收信号传输至RCC。
  14. 根据权利要求13所述的方法，其特征在于，所述通过所述eCPRI将所述波束域接收信号传输至RCC，包括：
    通过所述eCPRI将有用户调度的带宽中的所述波束域接收信号传输至RCC。
  15. 一种数据降维装置，其特征在于，应用于射频拉远系统RRS，所述RRS通过通用公共无线电接口eCPRI与无线云中心RCC连接，所述装置包括：
    接收模块，用于接收天线域接收信号，所述天线域接收信号包括所述RRS对应的阵列天线接收到的用户设备UE发送的上行信号，所述天线域接收信号为时域信号，所述天线域接收信号的维度为N1，所述N1为大于1的整数；
    获取模块，用于获取接收波束权值，所述接收波束权值是根据所述UE的信道信息确定的，其中，根据不同的信道信息确定的接收波束权值不同；
    降维模块，用于采用所述接收波束权值对所述天线域接收信号进行降维，得到波束域接收信号，所述波束域接收信号为频域信号，所述波束域接收信号的维度为N2，0＜N2＜N1。
  16. 根据权利要求15所述的装置，其特征在于，所述获取模块，包括：
    获取子模块，用于获取所述UE的信道信息；
    确定子模块，用于根据所述UE的信道信息确定所述接收波束权值。
  17. 根据权利要求16所述的装置，其特征在于，所述获取模块，用于：
    根据向每个UE发送的周期性信道探测信号SRS，获取每个所述UE的信道信息；
    根据所述每个UE的信道信息确定所述接收波束权值。
  18. 根据权利要求16所述的装置，其特征在于，所述获取模块，用于：
    根据向每个UE发送的解调参考信号DMRS，获取每个所述UE的信道信息；
    根据所述每个UE的信道信息确定所述接收波束权值。
  19. 根据权利要求16至18任一所述的装置，其特征在于，所述确定子模块，用于：
    根据所述UE的信道信息，基于最大化目标信号接收能量准则确定所述接收波束权值。
  20. 根据权利要求19所述的装置，其特征在于，所述确定子模块，用于：
    根据所有UE的信道信息，确定空分复用的所述UE的个数为M，天线域的信道响应矩阵为H＝[H1,H2,...,HM],其中，Hi＝N1×Li，Li为第i个所述UE的空分复用层数，所述M为大于1的整数，所述N1为所述RRS对应的阵列天线的数量；
    按照所述最大化目标信号接收能量准则，确定所述接收波束权值为W＝[W1,W2,...,WM]-1，其中，
    Figure PCTCN2017094908-appb-100005
    其中，i为整数且1≤i≤M。
  21. 根据权利要求16至18任一所述的装置，其特征在于，所述确定子模块，用于：
    根据所有UE的信道信息，确定天线域的信道响应矩阵为H＝[H1,H2,...,HM]，所述M为所述所有UE的个数；
    根据所述信道响应矩阵，确定所述接收波束权值为
    Figure PCTCN2017094908-appb-100006
    其中，Ruu为干扰协方差矩阵。
  22. 根据权利要求15所述的装置，其特征在于，所述获取模块，用于：
    接收所述RCC发送的所述接收波束权值，所述接收波束权值是所述RCC根据所述UE的信道信息确定的。
  23. 根据权利要求15所述的装置，其特征在于，所述装置还包括：
    增补模块，用于在所述波束域接收信号中增补目标接收波束信号，得到更新后的波束域接收信号，所述目标接收波束信号为n个预设的固定方向的增补接收波束接收的信号，或者所述目标接收波束信号为根据用户信道的多径方向和移动方向预测的n个方向性的增补接收波束接收的信号，所述n为正整数。
  24. 根据权利要求23所述的装置，其特征在于，所述增补模块，用于：
    确定到达角为θ的接收波束的增补波束权值为
    Figure PCTCN2017094908-appb-100007
    其中，d为所述阵列天线之间的间距，λ为所述接收波束的波长，N1为所述阵列天线的个数；
    确定目标增补波束权值为
    Figure PCTCN2017094908-appb-100008
    根据所述目标增补波束权值确定n个增补接收波束。
  25. 根据权利要求24所述的装置，其特征在于，所述装置还包括：
    确定模块，用于根据所述UE的信道信息或者所述UE的优先级确定所述增补接收波束的个数。
  26. 根据权利要求15所述的装置，其特征在于，所述装置还包括：
    调整模块，用于根据预设的测量值，调整所述eCPRI的数据位宽；
    传输模块，用于通过所述eCPRI将所述波束域接收信号传输至RCC。
  27. 根据权利要求26所述的装置，其特征在于，所述传输模块，用于：
    通过所述eCPRI将有用户调度的带宽中的所述波束域接收信号传输至RCC。
  28. 一种数据降维系统，其特征在于，所述系统包括：RCC和多个RSS，至少一个所述RSS包括权利要求15至27任一所述的装置，多个所述RRS通过通用eCPRI与所述RCC连接。
  29. 一种计算机设备，其特征在于，包括：存储器，处理器及存储在存储器上并可以在处理器上运行的计算机程序，所述处理器执行所述计算机程序时，实现权利要求1至14任一所述的数据降维方法。
  30. 一种计算机可读存储介质，其特征在于，所述计算机可读存储介质上存储有指令，当所述指令被处理器执行时，实现权利要求1至14任一所述的数据降维方法。
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