WO2022095086A1 - Procédé de traitement anti-interférence et récepteur - Google Patents

Procédé de traitement anti-interférence et récepteur Download PDF

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Publication number
WO2022095086A1
WO2022095086A1 PCT/CN2020/128052 CN2020128052W WO2022095086A1 WO 2022095086 A1 WO2022095086 A1 WO 2022095086A1 CN 2020128052 W CN2020128052 W CN 2020128052W WO 2022095086 A1 WO2022095086 A1 WO 2022095086A1
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WIPO (PCT)
Prior art keywords
user equipment
data symbol
allocated
kth subchannel
kth
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PCT/CN2020/128052
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English (en)
Chinese (zh)
Inventor
杨毅
刘佳
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辰芯科技有限公司
宸芯科技有限公司
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Publication of WO2022095086A1 publication Critical patent/WO2022095086A1/fr

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W28/00—Network traffic management; Network resource management
    • H04W28/02—Traffic management, e.g. flow control or congestion control
    • H04W28/0231—Traffic management, e.g. flow control or congestion control based on communication conditions
    • H04W28/0236—Traffic management, e.g. flow control or congestion control based on communication conditions radio quality, e.g. interference, losses or delay
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
    • H04B1/06—Receivers
    • H04B1/10—Means associated with receiver for limiting or suppressing noise or interference
    • 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
    • H04W16/02—Resource partitioning among network components, e.g. reuse partitioning
    • H04W16/04—Traffic adaptive resource partitioning
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W28/00—Network traffic management; Network resource management
    • H04W28/02—Traffic management, e.g. flow control or congestion control
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/12—Wireless traffic scheduling
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/50—Allocation or scheduling criteria for wireless resources
    • H04W72/535—Allocation or scheduling criteria for wireless resources based on resource usage policies

Definitions

  • the present application relates to the field of communication technologies, and in particular, to an anti-interference processing method and a receiver.
  • LTE long term evolution
  • vehicle networking application ie, LTE-V2X communication system
  • everything vehicle-to-everything, V2X
  • V2V vehicle-to-vehicle
  • the receiver demodulates the data channel
  • the signal in the bandwidth occupied by the user equipment will be Perform channel estimation, noise estimation, etc., and then use the obtained parameter estimation values to perform equalization and demodulation, thereby demodulating user data.
  • the entire frequency band is divided into multiple sub-channels, and frequency-domain resources are allocated to user equipment in units of sub-channels. Due to the limited resources in the frequency domain, when the number of surrounding user equipments is large and the traffic of the user equipments is large, a random method is used for resource allocation; however, in the random method, resource conflicts may occur.
  • the prior art solution proposes to use a resource sensing mechanism, that is, the user equipment detects (sensing) whether a resource is occupied before sending a signal, and if the resource is occupied, selects other available resources, but the resource detection mechanism is inevitably still Resource conflict may occur, and two or more user equipments may be allocated to the same sub-channel, causing mutual interference between the user equipments and degrading the demodulation performance of the receiver.
  • the embodiments of the present application provide an anti-interference processing method and a receiver, which solve the problem that the demodulation performance of the receiver is degraded when there are many user equipments in the surrounding environment and the shortage of resources causes mutual interference between the user equipments.
  • an anti-jamming processing method is provided, which is applied to a receiver.
  • the anti-interference processing method includes the following steps: estimating based on the signals received by the M receiving antennas of the receiver to obtain parameters on the kth subchannel allocated by the user equipment, wherein M and k are positive integers ; Based on the parameter on the k-th sub-channel distributed by this user equipment, the j-th data symbol on the k-th sub-channel distributed by this user equipment is carried out minimum mean square error (Minimum Mean Squared Error, MMSE) equalization, wherein , j is a positive integer; according to the equalization result of the jth data symbol on the kth subchannel allocated by the user equipment and the corresponding current value of the jth data symbol on the kth subchannel allocated by the user equipment Perform a demodulation procedure on the parameters on the kth subchannel allocated by the user equipment to obtain the demodulation soft value of the jth data symbol on the kth subchannel allocated by the user
  • a receiver including: M receiving antennas, an estimation module, an equalization module, a demodulation module, and a decoding module.
  • the M receiving antennas are used to receive signals, and M is a positive integer;
  • the estimation module is connected to the M receiving antennas, and is used for estimation based on the signals received by the M receiving antennas, so as to obtain the kth sub-unit allocated by the user equipment.
  • the parameters on the channel, k is a positive integer;
  • the equalization module is connected to the estimation module, and is used for the jth data on the kth subchannel allocated by the user equipment based on the parameters on the kth subchannel allocated by the user equipment
  • the symbol is MMSE equalized, and j is a positive integer;
  • the demodulation module is connected to the equalization module, and is used for the equalization result of the jth data symbol on the kth subchannel allocated by the user equipment and the jth data symbol allocated by the user equipment.
  • the demodulation soft value of the symbol; and the decoding module is connected to the demodulation module, and is used for using the demodulation soft value of the jth data symbol on the kth subchannel allocated by the user equipment in the decoding process.
  • the respective parameters on each subchannel allocated by the user equipment are obtained through estimation, and then equalization and demodulation are performed using the respective parameters of each subchannel allocated by the user equipment. Therefore, the application
  • the receiver of the anti-interference processing method of the embodiment of the present application or the receiver of the embodiment of the present application can reduce the bit error rate and improve the demodulation performance in a scenario where multiple user equipments interfere with each other.
  • FIG. 1 is a schematic diagram of components of a receiver according to an embodiment of the present invention.
  • FIG. 2A is a block diagram of a receiver according to an embodiment of the present invention.
  • 2B is a block diagram of a receiver according to another embodiment of the present invention.
  • FIG. 3 is a method flowchart of an embodiment of an anti-interference processing method according to the present invention.
  • FIG. 4 is a schematic diagram of an embodiment of a simulation scenario
  • FIG. 5 shows the signal-to-noise ratio-error block before using the anti-interference processing method proposed by the embodiment of the present application and after using the anti-interference processing method proposed by the embodiment of the present application when there is no timing deviation between the interfering user equipment and the present user equipment rate relationship diagram;
  • FIG. 6 shows the signal-to-interference ratio before using the anti-interference processing method proposed by the embodiment of the present application and after using the anti-interference processing method proposed by the embodiment of the present application when there is a power deviation and a timing deviation between the interfering user equipment and the present user equipment - Block error rate graph.
  • FIG. 1 is a schematic diagram of components of a receiver according to an embodiment of the present invention
  • FIG. 2A is a block diagram of a receiver according to an embodiment of the present invention.
  • the receiver 100 includes: M receiving antennas 110, one or more processors 120, one or more storage modules 130, and hardware components such as a bus 140, wherein the bus 140 can be connected to different hardware components; Through the included hardware components, the receiver 100 can load and execute software or programs; M is a positive integer, and in this embodiment, M can be, but not limited to, two.
  • the bus 140 may include one or more types, including, for example, a data bus, an address bus, a control bus, an expansion bus, and/or a local bus ) and other types of bus; processor 120 and bus 140 are coupled; processor 120 may be a processing unit, microprocessor, or any suitable processing element; processor 120 may interpret a sequence of multiple instructions to perform a particular operation or operation , for example, mathematical operations, logical operations, data comparison, copying/moving data, etc., to execute various programs, modules and/or components; the processor 120 can also access the storage module 130 through the storage module controller; the storage module 130 may comprise any type of volatile memory (volatile memory) and/or non-volatile memory (non-volatile memory), such as: static random access memory (SRAM), dynamic random access memory (DRAM), flash memory (Flash), read only memory (ROM), etc.
  • SRAM static random access memory
  • DRAM dynamic random access memory
  • flash flash memory
  • ROM read only memory
  • the receiver 100 may include an estimation module 122 , an equalization module 124 , a demodulation module 126 and a decoding module 128 .
  • the above modules are usually generated after the processor 120 executes a specific program loaded into the storage module 130 , or are included in the processor 120 .
  • the M receiving antennas 110 may be used to receive signals sent by the transmitter; the estimation module 122 may be connected to the M receiving antennas 110 for performing estimation based on the signals received by the M receiving antennas 110, To obtain the parameters on the kth subchannel allocated by the user equipment, where k is a positive integer; the equalization module 124 can be connected to the estimation module 122 to be based on the parameters on the kth subchannel allocated by the user equipment Perform MMSE equalization on the jth data symbol on the kth subchannel allocated by the user equipment, where j is a positive integer; the demodulation module 126 can be connected to the equalization module 124, and is used for according to the user equipment allocated to the jth data symbol.
  • the receiver 100 can use the respective parameters of each subchannel assigned by the user equipment after estimating the respective parameters (for example, parameters such as noise power, signal-to-noise ratio, etc.) on each subchannel assigned by the user equipment Equalization and demodulation are performed to improve the demodulation performance of the receiver 100 in a scenario where there are many user equipments in the surrounding environment and the user equipments interfere with each other.
  • the respective parameters for example, parameters such as noise power, signal-to-noise ratio, etc.
  • the parameters on the k-th subchannel allocated by the user equipment may include an estimated noise power value and an estimated signal-to-noise ratio.
  • the estimation module 122 is further configured to perform noise power estimation and signal-to-noise ratio estimation on the signals received by the M receiving antennas 110 of the receiver 100, so as to obtain the first number allocated by the user equipment. parameters on the k subchannels.
  • the specific calculation method by which the estimation module 122 performs noise power estimation on the signals received by the M receiving antennas 110 of the receiver 100 is well known to those skilled in the art, so it will not be described in detail here.
  • the estimation module 122 may obtain the estimated signal-to-noise ratio on the k-th subchannel allocated by the user equipment based on a signal-to-noise ratio estimation formula, where the signal-to-noise ratio estimation formula is: Wherein, ⁇ k is the estimated signal-to-noise ratio on the k-th sub-channel allocated by the user equipment, and P RSRP is the estimated RSRP of the received signal.
  • the RSRP estimation value of the received signal is estimated by using the signal in the entire bandwidth occupied by the user equipment of the receiver 100, and the specific calculation method is well known to those skilled in the art, so it will not be described in detail here. .
  • the estimation module 122 may include: a signal conversion unit 1222 and a parameter estimation unit 1224 (as shown in FIG. 2B , which is a block diagram of a receiver according to another embodiment of the present invention).
  • the signal conversion unit 1222 may be configured to create frequency domain signal models for the signals received by the M receiving antennas 110 of the receiver 100 respectively;
  • the parameter estimation unit 1224 may be connected to the signal conversion unit 1222 for The frequency domain signal model performs noise power estimation and signal-to-noise ratio estimation to obtain parameters on the kth subchannel allocated by the user equipment.
  • the frequency domain signal model is: in, is the received signal on the rth receive antenna on the ith subcarrier, is the wireless channel on the rth receiving antenna on the ith subcarrier, d i is the transmitted data symbol on the ith subcarrier, is the noise on the rth receiving antenna on the ith subcarrier, the i is a positive integer, 0 ⁇ r ⁇ M-1 and the r is an integer (that is, the receiving antennas 110 are numbered from zero, for example , when the number of the receiving antennas 110 is one, the receiving antenna 110 can be the 0th receiving antenna; when the number of the receiving antennas 110 is two, the receiving antenna 110 can be the 0th receiving antenna the first receiving antenna and the first receiving antenna, and so on); the j-th data symbol on the k-th sub-channel allocated by the user equipment corresponds to the i-th sub-carrier one-to-one.
  • the parameter estimation unit 1224 can be connected to the signal conversion unit 1222, and is configured to perform noise power estimation
  • the equalization module 124 may perform MMSE equalization on the jth data symbol on the kth subchannel allocated by the user equipment based on the noise estimate value on the kth subchannel allocated by the user equipment. .
  • the equalization module 124 may obtain the equalization result of the jth data symbol on the kth subchannel allocated by the user equipment based on an equalization formula, and the equalization formula is: in, is the received signal of the jth data symbol on the kth subchannel allocated to the user equipment on the rth receiving antenna, is the channel estimation value of the jth data symbol on the rth receiving antenna on the kth subchannel allocated to the user equipment, ⁇ k is the kth data symbol allocated by the user equipment where the jth data symbol is located
  • the noise estimates of the subchannels is the equalization result of the j-th data symbol on the k-th sub-channel allocated to the UE, 0 ⁇ r ⁇ M-1 and the r is an integer (that is, the receiving antennas 110 are numbered from zero, for example, In other words, when the number of the receiving antennas 110 is one, the receiving antenna 110 can be the 0th receiving antenna; when the number of the receiving antennas 110 is two, the receiving antenna 110 can be the
  • the channel estimation value of the jth data symbol on the kth subchannel allocated by the user equipment on the rth receiving antenna (that is, ) can be obtained by performing channel estimation by the estimation module 122, and the specific calculation method is well known to those skilled in the art, so it will not be described in detail here.
  • the demodulation module 128 may be based on the equalization result of the jth data symbol on the kth subchannel allocated by the user equipment and the kth subchannel allocated by the user equipment. Perform the demodulation procedure on the estimated signal-to-noise ratio on the kth subchannel allocated by the user equipment corresponding to the jth data symbol to obtain the signal on the kth subchannel allocated by the user equipment.
  • the demodulated soft value of the jth data symbol Therefore, the decoding module 128 can use the demodulated soft value of the jth data symbol on the kth subchannel allocated by the user equipment in the decoding process.
  • the decoding module 128 can collect all the demodulated soft values of a code block for decoding, and the specific decoding procedure is well known to those skilled in the art, so it will not be described in detail here.
  • the demodulation module 128 may be based on the equalization result of the jth data symbol on the kth subchannel allocated by the user equipment and the jth data symbol on the kth subchannel allocated by the user equipment.
  • the estimated value of the SNR on the kth subchannel allocated by the user equipment corresponding to the j data symbols, and the modulation method used by the transmitter is used to demodulate the kth subchannel allocated by the user equipment. Demodulated soft values of j data symbols.
  • the demodulation module 128 may Based on the equalization result of the j-th data symbol on the k-th subchannel allocated by the user equipment and the j-th data symbol on the k-th sub-channel allocated by the user equipment The estimated signal-to-noise ratio on the kth subchannel, using the Quadrature Phase Shift Keying (QPSK) method to demodulate the two-bit solution of the jth data symbol on the kth subchannel allocated by the user equipment Soften the value.
  • QPSK Quadrature Phase Shift Keying
  • the demodulation soft values of the two bits of the jth data symbol on the kth subchannel allocated by the user equipment may be b j (0) and b j (1), respectively, is the equalization result of the jth data symbol on the kth subchannel allocated by the user equipment, ⁇ k is the estimated signal-to-noise ratio on the kth subchannel allocated by the user equipment corresponding to the jth data symbol value, real() and imag() represent taking the real and imaginary parts of a complex number, respectively.
  • the demodulation module 128 may be based on the user equipment
  • the equalization result of the jth data symbol on the kth subchannel allocated by the user equipment corresponds to the kth subchannel allocated by the user equipment corresponding to the jth data symbol on the kth subchannel allocated by the user equipment
  • the estimated value of the signal-to-noise ratio on the 64QAM mode is used to demodulate the soft demodulation value of the jth data symbol on the kth subchannel allocated by the user equipment.
  • the demodulation module 128 when transmitting signals to the transmitters of the M receiving antennas 110, and modulating the transmitted signals in a 16-order quadrature amplitude modulation (16QAM) manner, the demodulation module 128 may be based on the user equipment.
  • the equalization result of the jth data symbol on the kth subchannel allocated by the user equipment corresponds to the kth subchannel allocated by the user equipment corresponding to the jth data symbol on the kth subchannel allocated by the user equipment
  • the estimated value of the signal-to-noise ratio on the 16QAM mode is used to demodulate the two-bit demodulation soft value of the jth data symbol on the kth subchannel allocated by the user equipment.
  • the anti-interference processing method may include the following steps: estimating based on the signals received by the M receiving antennas of the receiver to obtain parameters on the kth subchannel allocated by the user equipment, wherein , M and k are positive integers (step S310); based on the parameters on the kth subchannel allocated by the user equipment, the minimum mean square error is performed on the jth data symbol on the kth subchannel allocated by the user equipment equalization, where j is a positive integer (step S320); according to the equalization result of the jth data symbol on the kth subchannel allocated by the user equipment and the jth data symbol on the kth subchannel allocated by the user equipment Perform a demodulation procedure on the parameters on the kth subchannel allocated by the user equipment corresponding to the j data symbols
  • the step S310 may include: performing noise power estimation and signal-to-noise ratio estimation on the signals received by the M receiving antennas of the receiver, so as to obtain the allocated signal of the user equipment. Parameters on the kth subchannel.
  • a frequency domain signal model is respectively created for the signals received by the M receiving antennas of the receiver; noise power estimation and signal-to-noise ratio estimation are performed on the frequency domain signal model to obtain the Parameters on the kth subchannel allocated by the user equipment.
  • the step S320 may include: based on the noise estimation value on the kth subchannel allocated by the user equipment, the jth data on the kth subchannel allocated by the user equipment The symbols are MMSE equalized.
  • the MMSE is performed on the jth data symbol on the kth subchannel allocated by the user equipment based on the noise estimation value on the kth subchannel allocated by the user equipment.
  • Equalization may include: obtaining an equalization result of the jth data symbol on the kth subchannel allocated by the user equipment based on an equalization formula, where the equalization formula is: in, is the received signal on the rth receiving antenna of the jth data symbol on the kth subchannel allocated to the user equipment, is the channel estimation value on the rth receiving antenna of the jth data symbol on the kth subchannel allocated to the user equipment, ⁇ k is the allocation of the user equipment where the jth data symbol is located
  • the noise estimate of the k-th subchannel obtained is the equalization result of the jth data symbol on the kth subchannel allocated by the user equipment, 0 ⁇ r ⁇ M-1 and the r is an integer.
  • the step S330 may include: according to the equalization result of the jth data symbol on the kth subchannel allocated by the user equipment and the jth data symbol allocated by the user equipment Perform the demodulation procedure on the estimated signal-to-noise ratio on the k-th sub-channel allocated by the user equipment corresponding to the j-th data symbol on the k sub-channels to obtain the k-th sub-channel allocated by the user equipment.
  • the demodulated soft value of the jth data symbol on the subchannels may include: according to the equalization result of the jth data symbol on the kth subchannel allocated by the user equipment and the jth data symbol allocated by the user equipment Perform the demodulation procedure on the estimated signal-to-noise ratio on the k-th sub-channel allocated by the user equipment corresponding to the j-th data symbol on the k sub-channels to obtain the k-th sub-channel allocated by the user equipment.
  • the demodulated soft value of the jth data symbol on the subchannels
  • the demodulation soft value of the data symbol includes: based on the equalization result of the jth data symbol on the kth subchannel allocated by the user equipment and the data symbol on the kth subchannel allocated by the user equipment.
  • the estimated signal-to-noise ratio on the k-th sub-channel allocated by the user equipment corresponding to the j-th data symbol is demodulated using the modulation method used by the transmitter to obtain the k-th sub-channel allocated by the user equipment.
  • the demodulated soft value of the jth data symbol on the subchannels is demodulated using the modulation method used by the transmitter to obtain the k-th sub-channel allocated by the user equipment.
  • the simulation environment is an additive white Gaussian noise (AWGN) channel.
  • AWGN additive white Gaussian noise
  • Figure 4 is a schematic diagram of an embodiment of a simulation scenario.
  • the simulation scenario is that the received power of the interference user equipment and the user equipment are equal, and two sub-channels are allocated, and the resource pool configuration in the adjacent band mode is used to interfere with the user equipment. An allocated subchannel overlaps with a subchannel of the user equipment in the frequency domain, causing interference.
  • the anti-interference processing method proposed in the embodiment of the present application in FIG. 3 is used before and the anti-interference processing method proposed in the embodiment of the present application in FIG. 3 is used
  • the performance comparison after the method is shown in Fig. 5 (Fig.
  • the signal-to-noise ratio-block error rate relationship diagram after the anti-interference processing method the horizontal axis represents the ratio of the signal of the user equipment to the white noise power (ie Signal-to-noise ratio, Signal-to-noise ratio, SNR), the vertical axis represents the error Block Error Rate (BLER), the solid line is the signal-to-noise ratio-block error rate relationship curve before using the anti-interference processing method proposed by the embodiment of the present application, and the dotted line is the anti-interference processing method proposed by the embodiment of the present application Signal-to-noise ratio-block error rate curve after the method). It can be seen from FIG. 5 that the demodulation performance is greatly improved after using the anti-interference processing method proposed in the embodiment of the present application.
  • the anti-interference processing method proposed in the embodiment of the present application in FIG. 3 is used.
  • the performance comparison before and after using the anti-interference processing method proposed by the embodiment of the present application in FIG. 3 is as shown in FIG.
  • the signal-to-interference ratio-block error rate relationship diagram before the anti-interference processing method proposed in the embodiment and after using the anti-interference processing method proposed in the embodiment of the present application the horizontal axis represents the ratio of the received power of the user equipment and the interference user equipment (ie Signal Interference Ratio, Signal Interference Ratio, SIR), the vertical axis represents the block error rate), the solid line is the signal-to-interference ratio-block error rate relationship curve before using the anti-interference processing method proposed in the embodiment of the present application, and the dotted line is The signal-to-interference ratio-block error rate relationship curve after using the anti-interference processing method proposed in the embodiment of the present application). It can be seen from FIG. 6 that the demodulation performance is also greatly improved after using the anti-interference processing method proposed in the embodiment of the present application.
  • the present application provides an anti-interference processing method and receiver, which obtain the respective parameters on each subchannel allocated by the user equipment through estimation, and then use the parameters of each subchannel allocated by the user equipment.
  • the respective parameters are equalized and demodulated. Therefore, the receiver applying the anti-interference processing method of the embodiment of the present application or the receiver of the embodiment of the present application can reduce the bit error rate in a scenario where multiple user equipments interfere with each other. , to improve demodulation performance.
  • All or part of the steps in the method described in this application can be implemented by a computer program, such as an operating system of a computer, a driver program for specific hardware in the computer, or a software program.
  • a computer program such as an operating system of a computer, a driver program for specific hardware in the computer, or a software program.
  • other types of programs as shown above can also be implemented.
  • Those skilled in the art can write the methods of the embodiments of the present application into a calculator program, which will not be described for the sake of brevity.
  • the calculator program implemented according to the method of the embodiments of the present application can be stored in a suitable computer-readable medium, such as DVD, CD-ROM, USB, hard disk, or can be placed on a network (such as the Internet, or other suitable carriers) Accessed web server.

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  • Computer Networks & Wireless Communication (AREA)
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Abstract

Un procédé de traitement anti-interférence et un récepteur sont divulgués dans la présente demande. Le procédé de traitement anti-interférence est appliqué au récepteur, et comprend les étapes suivantes : réaliser une estimation sur la base de signaux reçus par M antennes de réception du récepteur pour obtenir des paramètres sur un kième sous-canal attribué à un équipement utilisateur actuel, M et k étant des entiers positifs ; sur la base des paramètres sur le kième sous-canal attribué à l'équipement utilisateur actuel, réaliser une égalisation d'erreur quadratique moyenne minimale sur un jième symbole de données sur le kième sous-canal attribué à l'équipement utilisateur actuel, j étant un nombre entier positif ; et en fonction du résultat d'égalisation du jième symbole de données sur le kième sous-canal attribué à l'équipement utilisateur actuel et du paramètre sur le kième sous-canal attribué à l'équipement utilisateur actuel correspondant au jième symbole de données sur le kième sous-canal attribué à l'équipement utilisateur actuel, réaliser un processus de démodulation pour obtenir une valeur pondérée de démodulation du jième symbole de données sur le kième sous-canal attribué à l'équipement utilisateur actuel pour un processus de décodage.
PCT/CN2020/128052 2020-11-05 2020-11-11 Procédé de traitement anti-interférence et récepteur WO2022095086A1 (fr)

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