WO2014183687A1 - 一种干扰消除方法及装置、存储介质 - Google Patents

一种干扰消除方法及装置、存储介质 Download PDF

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WO2014183687A1
WO2014183687A1 PCT/CN2014/077907 CN2014077907W WO2014183687A1 WO 2014183687 A1 WO2014183687 A1 WO 2014183687A1 CN 2014077907 W CN2014077907 W CN 2014077907W WO 2014183687 A1 WO2014183687 A1 WO 2014183687A1
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information
soft
reconstructed
modulation
decoded
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PCT/CN2014/077907
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English (en)
French (fr)
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王竟宇
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深圳市中兴微电子技术有限公司
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Priority to EP14798588.1A priority Critical patent/EP3073648A4/en
Priority to US15/037,156 priority patent/US20160277963A1/en
Publication of WO2014183687A1 publication Critical patent/WO2014183687A1/zh

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413—MIMO systems
    • H04B7/0456—Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413—MIMO systems
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04J—MULTIPLEX COMMUNICATION
    • H04J11/00—Orthogonal multiplex systems, e.g. using WALSH codes
    • H04J11/0023—Interference mitigation or co-ordination
    • H04J11/0026—Interference mitigation or co-ordination of multi-user interference
    • H04J11/0036—Interference mitigation or co-ordination of multi-user interference at the receiver
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/0001—Systems modifying transmission characteristics according to link quality, e.g. power backoff
    • H04L1/0002—Systems modifying transmission characteristics according to link quality, e.g. power backoff by adapting the transmission rate
    • H04L1/0003—Systems modifying transmission characteristics according to link quality, e.g. power backoff by adapting the transmission rate by switching between different modulation schemes
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/0001—Systems modifying transmission characteristics according to link quality, e.g. power backoff
    • H04L1/0009—Systems modifying transmission characteristics according to link quality, e.g. power backoff by adapting the channel coding
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/12—Arrangements for detecting or preventing errors in the information received by using return channel
    • H04L1/16—Arrangements for detecting or preventing errors in the information received by using return channel in which the return channel carries supervisory signals, e.g. repetition request signals
    • H04L1/18—Automatic repetition systems, e.g. Van Duuren systems
    • H04L1/1829—Arrangements specially adapted for the receiver end
    • H04L1/1861—Physical mapping arrangements
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00—Baseband systems
    • H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/06—Dc level restoring means; Bias distortion correction ; Decision circuits providing symbol by symbol detection
    • H04L25/067—Dc level restoring means; Bias distortion correction ; Decision circuits providing symbol by symbol detection providing soft decisions, i.e. decisions together with an estimate of reliability
    • 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
    • H04W28/04—Error control

Definitions

  • the present invention relates to a wireless communication technology, and in particular, to an interference cancellation method and apparatus, and a storage medium in a Long Term Evolution (LTE) system of a 3GPP (The 3rd Generation Partnership Project). Background technique
  • an uplink multiple input multiple output (MIMO) transmission technology is proposed, that is, two users occupy the same frequency domain resources for transmission, only through different The orthogonal sequences are distinguished, and there is a large multi-user interference when the receiver processes.
  • MIMO multiple input multiple output
  • the interference cancellation algorithm can be divided into a serial interference cancellation algorithm and a parallel interference cancellation algorithm.
  • the principle of the interference cancellation algorithm is to perform soft information reconstruction on the transmitted information through the encoded soft information output by the decoder, thereby iteratively canceling the input MMSE by using the reconstruction information. Interference between equal-frequency users of the equalizer can significantly improve receiver performance and greatly increase system throughput.
  • the most important thing in the interference cancellation algorithm is to use the coded soft information obtained by decoding to reconstruct the soft information of the transmitted information. Only when the information is reconstructed accurately, the interference cancellation can get better results.
  • the Turbo decoder is used to reconstruct the data information in the transmitted information, and the reconstruction of the control information multiplexed on the Physical Uplink Shared Channel (PUSCH) is not considered.
  • PUSCH Physical Uplink Shared Channel
  • UE-B when there is a long channel quality indicator (CQ1, Channel Quality Indicator)/Pre-coding Matrix Indicator (PMI) information with a long code length of convolutional coding, UE-B occurs.
  • CQ1 Channel Quality Indicator
  • PMI Pre-coding Matrix Indicator
  • the prior art uses the high-level control to schedule pairing in the MIMO mode to circumvent such problems, which has an impact on the scheduling flexibility, complexity, and delay of the system. Summary of the invention
  • the embodiment of the present invention provides an interference cancellation method and apparatus, and a storage medium, which can effectively improve the reception performance of multi-user MIMO in a multiplex control information scenario, and can also reduce the protocol. Scheduling complexity and scheduling flexibility of the stack in a multi-user MIMO scenario.
  • An embodiment of the present invention provides an interference cancellation method, where the method includes:
  • the reconstructed soft modulation information of the data information and the reconstructed soft modulation information of the control information are precoded, and the pre-coded reconstructed information is used for interference cancellation.
  • control information includes hybrid automatic repeat request response HARQ-AC information and channel rank indication RI information using repeated mapping coding;
  • performing soft information reconstruction on the received control information according to the encoded soft information or the decoded information bit sequence information, and obtaining the reconstructed soft modulation information of the control information comprising: separately obtaining the decoded HARQ- Decoding information bit sequence information of AC information and RI information; repeating the decoding information bit sequence information by the same process as the transmitting end
  • the coding, interleaving, and modulation are performed to obtain reconstructed modulated soft information of HARQ-ACK information and RI information.
  • the control information includes a short channel quality indicator CQI/precoding matrix indicating PMI information that is encoded by a block code;
  • performing soft information reconstruction on the received control information according to the encoded soft information or the decoded information bit sequence information, and obtaining the reconstructed soft modulation information of the control information comprising: separately obtaining the decoded CQI/ Decoding information bit sequence information of the PMI information; performing the same mapping process as the transmitting end to repeatedly map, encode, interleave and modulate the decoded information bit sequence information to obtain reconstructed modulated soft information of the PMI/PMI information.
  • the control information includes long CQI/PMI information using convolutional coding; correspondingly, performing soft information reconstruction on the received control information according to the encoded soft information or the decoded information bit sequence information, to obtain the Reconstructing soft modulation information of the control information, comprising: obtaining soft decision information obtained after demodulation; inputting the soft decision information into a MAP convolutional decoder, and obtaining a coding softness of 1/3 code rate by decoding processing Information; performing soft information modulation on the encoded soft information of the 1/3 code rate to obtain reconstructed modulated soft information of long CQI/PMI information.
  • said MAP convolutional decoder comprises a convolutional decoder based on a maximum a posteriori probability MAP or a logarithmic maximum a posteriori probability LogMAP or a maximum logarithm of the maximum a posteriori probability MaxLogMAP iterative algorithm.
  • the initial values of the forward accumulation metric and the backward accumulation metric in the MAP or LogMAP or MaxLogMAP iterative algorithm are set between -16 and -128.
  • An embodiment of the present invention further provides an interference cancellation apparatus, where the apparatus includes a first reconstruction unit, a second reconstruction unit, and a processing unit, where:
  • the first reconstruction unit is configured to perform soft information reconstruction on the received data information according to the encoded soft information of the data information, to obtain reconstructed soft modulation information of the data information;
  • the second reconstruction unit is configured to perform soft information reconstruction on the received control information according to the encoded soft information or the decoded information bit sequence information, to obtain a reconstructed soft modulation of the control information.
  • the processing unit is configured to pre-code the reconstructed soft modulation information of the data information and the reconstructed soft modulation information of the control information, and perform interference cancellation processing by using the pre-coded reconstruction information.
  • control information includes hybrid automatic repeat request response HARQ-ACK information and channel rank indication RI information using repeated mapping coding;
  • the second reconstruction unit is configured to respectively obtain decoded HARQ-ACK information and decoding information bit sequence information of the RI information; and repeat the decoding information bit sequence information by using the same process as the transmitting end. Mapping coding, interleaving, and modulation, and obtaining reconstructed modulated soft information of HARQ-ACK information and RI information.
  • control information comprises a short channel quality indicator CQI/precoding matrix indicating PMI information using block code encoding
  • the second reconstruction unit is configured to respectively obtain decoding information bit sequence information of the decoded CQI/PMI information; and perform repeated mapping coding on the decoding information bit sequence information by using the same process as the transmitting end. Interleaving and modulation, to obtain reconstructed modulated soft information of PMI/PMI information.
  • control information includes long CQI/PMI information using convolutional coding; correspondingly, the second reconstruction unit is configured to acquire soft decision information obtained after demodulation; and input the soft decision information
  • the MAP convolutional decoder obtains the encoded soft information of 1/3 code rate by decoding, and performs soft information modulation on the encoded soft information of the 1/3 code rate to obtain a long
  • the embodiment of the invention further provides a computer readable storage medium, wherein the computer readable storage medium stores computer executable instructions, and the computer executable instructions are used to execute the above method.
  • the received data information is based on the encoded soft information of the data information.
  • Performing soft information reconstruction to obtain reconstructed soft modulation information of the data information ; performing soft information reconstruction on the received control information according to the encoded soft information or the decoded information bit sequence information, to obtain soft reconstruction information of the control information Modulating information; multiplexing and interleaving the reconstructed soft modulation information of the data information and the reconstructed soft modulation information of the control information, and after performing precoding, outputting the reconstructed information to interference cancellation; thus, effectively Improve multi-user under the multiplex control information scenario
  • the reception performance of MIMO can also reduce the scheduling complexity and scheduling flexibility of the protocol stack in multi-user MIMO scenarios.
  • FIG. 1 is a schematic diagram of an uplink control information and an uplink data multiplexing manner in an LTE system
  • 2-1 is a schematic flowchart of an implementation process of a method for canceling a interference according to an embodiment of the present invention
  • FIG. 2-2 is a schematic flowchart 1 of the implementation process of step 202 in FIG. 2-1 according to an embodiment of the present invention
  • FIG. 2-3 is a schematic flowchart 2 of the implementation process of step 202 in FIG. 2-1 according to an embodiment of the present invention
  • Embodiment 3 of the present invention is a schematic diagram of the implementation flow of the step 202 in FIG. 2-1
  • FIG. 3 is a schematic structural diagram of the interference cancellation device according to the embodiment of the present invention.
  • the uplink control information that needs to be transmitted on the uplink includes a Hybrid Automatic Repeat reQuest (ACQ), and three forms of CSI (Channel State Information).
  • ACQ Hybrid Automatic Repeat reQuest
  • Channel State Information Channel quality indication, precoding matrix indication information, and rank indication information (RI, Rank Indicator), where
  • the HARQ-ACK information is transmitted on the physical uplink control channel (PUCCH, Physical Uplink Control). If the terminal (UE, User Equipment) needs to send uplink data, the HARQ-AC information is transmitted on the PUSCH, 3 CQI/PMI, RI
  • the feedback can be periodic feedback or non-periodic feedback, where CQI/PMI and periodic feedback
  • For the RI if the UE does not need to send uplink data, the CQI/PMI and RI of the periodic feedback are transmitted on the PUCCH. If the UE needs to send the uplink data, the CQI/PMI and RI are transmitted on the PUSCH; For CQI/PMI and RI, it is transmitted only on PUSCH.
  • the HARQ-AC information and the RI information are formed by using repeated mapping coding; the CQI/PMI information may be divided into short CQ1/PM1 information with a short code length and long CQI/PMI information with a long code length, the short CQI.
  • the /PMI information is formed using block code encoding; the long CQ1/PM1 information is formed using convolutional coding.
  • the information reconstruction object in the embodiment of the present invention is the above three types of control information, and reconstructs the three types of control information, thereby implementing a corresponding interference cancellation process.
  • FIG. 1 is a schematic diagram of uplink control information and uplink data multiplexing manner in an LTE system, as shown in FIG.
  • the uplink data is transmitted in the form of a transport block (TB, Transport Block), and the TB is subjected to cyclic redundancy check (CRC Attachment), code block segmentation (Code Block Segmentation) and sub-block CRC Attachment (Code Block CRC Attachment).
  • CRC Attachment cyclic redundancy check
  • Code Block Segmentation code Block Segmentation
  • sub-block CRC Attachment Code Block CRC Attachment
  • /NACK information, RJ information and data are multiplexed together.
  • FIG. 2-1 is a schematic flowchart of an implementation of an interference cancellation method according to an embodiment of the present invention. As shown in FIG. 2-1, the method includes:
  • Step 201 Perform soft information reconstruction on the received data information according to the encoded soft information of the data information, to obtain reconstructed soft modulation information of the data information.
  • the decoder is preferably a Turbo decoder.
  • This step 201 can adopt the same implementation process as the prior art, and details are not described herein again.
  • Step 202 Perform soft information reconstruction on the received control information according to the encoded soft information or the decoded information bit sequence information, to obtain reconstructed soft modulation information of the control information.
  • control information includes HARQ-ACK information and RI using repeated mapping coding.
  • Information as well as short CQI/PMI information encoded in block code, or long CQI/PMI information using convolutional coding;
  • the decoding information bit sequence information is a binary bit sequence information output by the decoder if
  • Step 203 Pre-coding the reconstructed soft modulation information of the data information and the reconstructed soft modulation information of the control information, and performing interference cancellation by using the pre-coded reconstructed information.
  • the encoding the reconstructed soft modulation information of the data information and the reconstructed soft modulation information of the control information, and performing interference cancellation by using the encoded reconstructed information specifically includes:
  • the soft modulation information and the reconstructed soft modulation information of the control information are sequentially multiplexed and interleaved, and precoded, and the precoded reconstruction information is output to the interference cancellation module to perform an interference cancellation process.
  • the precoding in LTE refers to a process of performing discrete Fourier transform on reconstructed soft modulation information.
  • steps 201 and 202 have no prior sequence in the course of the embodiment.
  • the control information includes the HARQ-ACK information and the RI information that are encoded by the repeated mapping.
  • the step 202 includes:
  • Step 221 Acquire, respectively, the decoded HARQ-ACK information and the decoded information bit sequence information of the RI information.
  • Step 222 Repeatly mapping, interleaving, and modulating the decoded information bit sequence information by using the same process as the transmitting end to obtain reconstructed modulated soft information of the HARQ-ACK information and the RI information.
  • the decoded information bit sequence information is a binary bit sequence message output by the decoder.
  • the decoding information bit sequence information obtained by the decoder can be repeatedly mapped, encoded, interleaved and modulated by the same process as the transmitting end, and the reconstructed modulation soft is obtained.
  • the process of repeatedly mapping, interleaving, and modulating the HARQ-ACK information and the RI information by the transmitting end may refer to the relevant specifications on the standard protocol. Therefore, the receiving end may also refer to the related specifications on the standard protocol, and details are not described herein again.
  • control information further includes the short CQ1/PM1 information encoded by the block code.
  • step 202 includes:
  • Step 223 Obtain a decoding information bit sequence information step 224 of the decoded CQI/PMI information, and perform repeated mapping, encoding, interleaving, and modulation on the decoding information bit sequence information by using the same process as the transmitting end to obtain a PMI/PMI. Reconstruction of information modulates soft information.
  • the short CQI/PMI information using block code coding since the short CQI/PMI information using block code coding has a lower peak-to-average ratio at the transmitting end, and is repeated many times in most scenarios, it also has high repetition gain and reliability, and also The coded soft information of the block coding cannot be obtained in the decoding process, so the modulation soft information of the short CQI/PMI information can be reconstructed directly by a method similar to the HARQ-ACK information and the RI information.
  • the process of repeatedly mapping, interleaving, and modulating the CQI/PMI information by the transmitting end can refer to the relevant specifications on the standard protocol; therefore, the receiving end can also refer to the relevant standard on the standard protocol, and details are not described herein again.
  • control information further includes long CQI/PMI information using convolutional coding.
  • step 202 includes:
  • Step 225 Acquire soft decision information obtained after demodulation
  • Step 226 The soft decision information is input into a MAP convolutional decoder, and the encoded soft information of 1/3 code rate is obtained by decoding, and the soft information is modulated by the encoded soft information of the 1/3 code rate. The reconstructed modulated soft information of the long CQI/PMI information is obtained.
  • the long CQI/PMI information using convolutional coding often has a large resource requirement, but in consideration of the performance of the data information, rate matching of the 1/3 rate convolutional coding information is required, and therefore, the long CQI/ The repetition gain of the PMI information itself is small; at the same time, the prior art uses a relatively simple Viterbi decoding algorithm on the decoding process related to the receiving end, because the Viterbi decoding algorithm cannot realize the coding soft information.
  • a convolutional decoder based on the maximum a Posteriori Probability (MAP) algorithm may be employed; the MAP iterative algorithm includes MAP or the largest logarithm The a posteriori probability (LogMAP, Logarithmic MAP) or the maximal logarithmic maximum log probability (MaxLogMAP, Maximum LogMAP) iterative algorithm.
  • the soft decision information obtained by the demodulation of the receiver is input into a convolutional decoder based on the MAP iterative algorithm, and the decoded soft information output is obtained by decoding processing, and the encoded soft information is obtained. Soft information modulation, resulting in reconstructed modulated soft information.
  • the original code length of the CQI/PMI information using convolutional coding is small, and the negative infinity initial value setting of the forward cumulative metric and the backward cumulative metric in the MAP iterative algorithm may result in decoding.
  • the initial value is also improved in the embodiment of the present invention.
  • the forward cumulative metric and the backward direction in the MAP or LogMAP or MaxLogMAP iterative algorithm may be used.
  • the initial value of the cumulative metric is set between -16 and -128.
  • the convolutional decoder improved by the embodiment of the present invention has the same or even better performance than the Viterbi decoder.
  • Embodiment 1 When the initial value is a power of 2, that is, -16, -32, -64, or -128, the number of iterations of the MAP or LogMAP or MaxLogMAP iterative algorithm is greatly reduced, and the results of the simulation test show that:
  • the convolutional decoder improved by the embodiment of the present invention has the same or even better performance than the Viterbi decoder.
  • the HARQ-AC information, the RI information, and the long CQI/PMI information using the convolutional coding are multiplexed in the PUSCH of the multi-user MIMO paired UE, and the modulation mode is 64QAM as an example.
  • the technical solution is described in detail as follows: Step D1, performing soft information reconstruction on the received data information according to the encoded soft information output by the decoder, to obtain reconstructed soft modulation information of the data information;
  • Step D2 Perform soft information reconstruction on the HARQ-AC information and the RI information according to the decoded information bit sequence information output by the decoder, to obtain reconstructed soft modulation information of the control information;
  • the HARQ-ACK information obtained by the decoder is 1, and the number of repetitions is
  • the reconstructed bit sequence obtained by mapping from the decoder is 1 10000, 1 10000,
  • the modulated soft information sequence after passing through the soft modulation module in the receiver is "3 3_ . 3 3_ . 3 3_ . 3 3_ . 3 3_ , .
  • the reconstruction process of RI information and The reconstruction process of HARQ-ACK information is similar, and will not be described here.
  • Step D3 performing soft information reconstruction on the long CQI/PMI information using convolutional coding according to the encoded soft information output by the decoder, to obtain reconstructed soft modulation information of the control information;
  • the modulation soft information sequence after the soft modulation module is: SoftMod—Seq.
  • Step D4 sequentially multiplexing and interleaving the reconstructed soft modulation information of the data information and the reconstructed soft modulation information of the control information, and precoding, and outputting the precoded reconstruction information to the interference cancellation module.
  • Perform the interference cancellation process .
  • the embodiment of the invention further provides an interference cancellation device, and FIG. 3 is an interference cancellation according to an embodiment of the present invention.
  • the interference cancellation device includes a first reconstruction unit 31, a second reconstruction unit 32, and a processing unit 33, where:
  • the first reconstruction unit 3 1 is configured to perform soft information reconstruction on the received data information according to the encoded soft information of the data information, to obtain reconstructed soft modulation information of the data information;
  • the second reconstruction unit 32 is configured to perform soft information reconstruction on the received control information according to the encoded soft information or the decoded information bit sequence information, to obtain reconstructed soft modulation information of the control information;
  • the processing unit 33 is configured to pre-code the reconstructed soft modulation information of the data information and the reconstructed soft modulation information of the control information, and perform interference cancellation using the pre-coded reconstructed information.
  • control information includes HA Q-ACK information and RI information that are encoded by repeated mapping
  • the second reconstruction unit is configured to respectively obtain the decoded HARQ-ACK information and the decoding information bit sequence information of the R1 information; and repeat the decoding information bit sequence information by using the same process as the transmitting end. Mapping coding, interleaving, and modulation, and obtaining reconstructed modulated soft information of HARQ-ACK information and RI information.
  • control information includes short CQI/PMI information encoded by a block code
  • the second reconstruction unit is configured to respectively obtain decoding information bit sequence information of the decoded CQI/PMI information; and perform repeated mapping coding on the decoding information bit sequence information by using the same process as the transmitting end. Interleaving and modulation, to obtain reconstructed modulated soft information of PMI/PMI information.
  • control information includes long CQI/PMI information using convolutional coding
  • the second reconstruction unit is configured to obtain a soft decision signal obtained after demodulation Entering the soft decision information into the MAP convolutional decoder, and obtaining the encoded soft information of 1/3 code rate by decoding processing; and performing soft information modulation on the encoded soft information of the 1/3 code rate to obtain Reconfiguration of long CQI/PMI information to modulate soft information.
  • the long CQI/PMI information using convolutional coding often has a large resource requirement, but due to the performance of the data information, rate matching of the 1/3 rate convolutional coding information is required, so the long CQI
  • the repetition gain of the /PMI information itself is small; at the same time, the prior art uses a relatively simple Viterbi decoding algorithm in the decoding process related to the receiving end. Since the Viterbi decoding algorithm cannot realize the output of the encoded soft information, In the reconstruction process of the long CQI/PMI information, a convolutional decoder based on the MAP iterative algorithm may be employed; the MAP iterative algorithm includes a MAP or LogMAP or MaxLogMAP iterative algorithm.
  • the soft decision information obtained by the receiver after demodulation is input into a convolutional decoder based on the MAP iterative algorithm, and through decoding processing, an accurate 1/3 code rate of the encoded soft information output is obtained, and the encoded soft information is performed. Soft information modulation, resulting in reconstructed modulated soft information.
  • the original code length of the CQI/PMI information using convolutional coding is small, and the negative infinity initial value setting of the forward cumulative metric and the backward cumulative metric in the MAP iterative algorithm may result in decoding.
  • the initial value is also improved. Specifically, the forward cumulative metric and the backward direction in the MAP or LogMAP or MaxLogMAP iterative algorithm may be used. The initial value of the cumulative metric is set between -16 and -128.
  • the initial value is a power of 2, that is, -16, -32, -64, or -128, the number of iterations of the MAP or LogMAP or MaxLogMAP iterative algorithm can be greatly reduced, and the results of the simulation test show that:
  • the improved convolutional decoder and Viterbi decoder have better performance under the number of iterations.
  • the first reconstruction unit, the second reconstruction unit, and the processing unit in the interference cancellation apparatus proposed in the embodiment of the present invention may be implemented by a processor of a receiver in a base station, or may be implemented by a specific logic circuit; for example, In practical applications, it can be managed by a central processing unit (CPU, Central). Processing Unit), Microprocessor Unit (MPU), Digital Signal Processor (DSP), or Field Programmable Gate Array (FPGA).
  • CPU Central
  • Processing Unit Microprocessor Unit
  • DSP Digital Signal Processor
  • FPGA Field Programmable Gate Array
  • the above interference cancellation method is implemented in the form of a software function module and sold or used as a stand-alone product, it may also be stored in a computer readable storage medium.
  • the technical solution of the embodiments of the present invention may be embodied in the form of a software product in essence or in the form of a software product stored in a storage medium, including In order to cause a computer device (which may be a personal computer, server, or network device, etc.) to perform all or part of the methods described in various embodiments of the present invention.
  • the foregoing storage medium includes: a medium for storing program codes, such as a USB flash drive, a removable hard disk, a read only memory (ROM), a magnetic disk, or an optical disk.
  • a medium for storing program codes such as a USB flash drive, a removable hard disk, a read only memory (ROM), a magnetic disk, or an optical disk.
  • the embodiment of the present invention further provides a computer readable storage medium, where the computer readable storage medium stores computer executable instructions, and the computer executable instructions are used to perform interference cancellation provided by embodiments of the present invention. method.
  • the soft information is reconstructed according to the encoded soft information of the data information, and the reconstructed soft modulation information of the data information is obtained; according to the encoded soft information or the decoded information bit sequence information Receiving the control information to perform soft information reconstruction, obtaining reconstructed soft modulation information of the control information; multiplexing and interleaving the reconstructed soft modulation information of the data information and the reconstructed soft modulation information of the control information , after the precoding is completed, the information will be reconstructed Output to interference cancellation; thus, can effectively improve multiple users in the multiplex control information scenario
  • the reception performance of MIMO can also reduce the scheduling complexity and scheduling flexibility of the protocol stack in multi-user MIMO scenarios.

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Abstract

本发明公开了一种干扰消除方法及装置、存储介质，所述方法包括：根据数据信息的编码软信息对所接收到的数据信息进行软信息重构，得到所述数据信息的重构软调制信息；根据编码软信息或解码信息比特序列信息所接收到的控制信息进行软信息重构，得到所述控制信息的重构软调制信息；将所述数据信息的重构软调制信息和所述控制信息的重构软调制信息进行预编码，利用预编码后的重构信息进行干扰消除。

Description

一种干扰消除方法及装置、 存储介质 技术领域
本发明涉及无线通信技术，尤其涉及一种第三代合作伙伴计划（3GPP, The 3rd Generation Partnership Project )长期演进( LTE, Long Term Evolution ) 系统中干扰消除方法及装置、 存储介质。 背景技术
在 3GPP LTE系统中， 为了提高系统上行的吞吐率，提出了上行多输入 多输出 （MIMO, Multiple Input Multiple Output ) 的发射技术， 即两个用户 占用相同的频域资源进行传输， 仅通过不同的正交序列予以区分， 其接收 机处理时会存在较大的多用户干扰。 由于传统的最小均方误差 ( MMSE, Minimum Mean Square Error ) 均衡方法在此时的性能会有较明显的损失， 于是业界便采用了干扰消除算法来解决该问题。 干扰消除算法可以分为串 行干扰消除算法和并行干扰消除算法， 干扰消除算法的原理是通过译码器 输出的编码软信息对发射信息进行软信息重构， 从而利用重构信息迭代抵 消输入 MMSE均衡器的同频用户间的干扰， 可以明显地提高接收机性能并 大大提高系统吞吐率。
从上述描述可知 , 干扰消除算法中最重要的就是利用译码得到的编码 软信息对发射信息进行软信息重构， 只有准确地完成信息重构， 干扰消除 才会得到较好的效果。 现有技术中仅使用了 Turbo译码器完成了对发射信 息中的数据信息的重构， 而没有考虑到复用在物理上行共享信道（PUSCH, Physical Uplink Shared Channel )上的控制信息的重构， 这样就导致了在多 用户 MIMO配对的用户设备（UE, User Equipment ) 中 （假设配对的 UE 为 UE A和 UE B ), 当 UE A存在有较多的控制信息被复用在 PUSCH上 时， 尤其是存在采用卷积编码的码长较长的长信道质量指示（ CQ1， Channel Quality Indicator ) /预编码矩阵指示（PMI, Pre-coding Matrix Indicator )信 息时， 就会发生 UE— B在进行干扰消除的过程时， 重构的数据信息不足以 消除干扰， 从而导致性能增益有限， 无法提高系统吞吐量的问题。 另外， 现有技术是通过高层控制来调度 MIMO模式下的配对， 来规避该类问题， 这就给系统的调度灵活性、 复杂度以及时延性带来了影响。 发明内容
有鉴于此， 本发明实施例针对现有技术存在的问题提供一种干扰消除 方法及装置、 存储介质， 能够有效地提高复用控制信息场景下的多用户 MIMO的接收性能， 同时也能够降低协议栈在多用户 MIMO场景下的调度 复杂度及调度灵活性。
本发明实施例的技术方案是这样实现的：
本发明实施例提供一种干扰消除方法， 所述方法包括：
根据数据信息的编码软信息对所接收到的数据信息进行软信息重构 , 得到所述数据信息的重构软调制信息；
根据编码软信息或解码信息比特序列信息对所接收到的控制信息进行 软信息重构， 得到所述控制信息的重构软调制信息；
将所述数据信息的重构软调制信息和所述控制信息的重构软调制信息 进行预编码 , 利用预编码后的重构信息进行干扰消除。
优选地， 所述控制信息包括采用重复映射编码的混合自动重传请求应 答 HARQ-AC 信息和信道秩指示 RI信息;
对应地， 所述根据编码软信息或解码信息比特序列信息对所接收到的 控制信息进行软信息重构， 得到所述控制信息的重构软调制信息， 包括： 分别获取译码得到的 HARQ-AC 信息和 RI信息的解码信息比特序列 信息; 采用与发射端相同的过程对所述解码信息比特序列信息进行重复映 射编码、 交织及调制，得到 HARQ-ACK信息和 RI信息的重构调制软信息。 优选地， 所述控制信息包括采用块码编码的短信道质量指示 CQI/预编 码矩阵指示 PMI信息；
对应地， 所述根据编码软信息或解码信息比特序列信息对所接收到的 控制信息进行软信息重构， 得到所述控制信息的重构软调制信息， 包括: 分别获取译码得到的 CQI/PMI信息的解码信息比特序列信息; 釆用与 发射端相同的过程对所述解码信息比特序列信息进行重复映射编码、 交织 及调制， 得到 PMI/PMI信息的重构调制软信息。
优选地， 所述控制信息包括采用卷积编码的长 CQI/PMI信息； 对应地， 所述根据编码软信息或解码信息比特序列信息对所接收到的 控制信息进行软信息重构， 得到所述控制信息的重构软调制信息， 包括： 获取经过解调后得到的软判决信息；将所述软判决信息输入 MAP卷积 译码器， 通过译码处理后获得 1/3码率的编码软信息； 将所述 1/3码率的编 码软信息进行软信息调制 , 得到长 CQI/PMI信息的重构调制软信息。
优选地， 所述 MAP卷积译码器包括基于最大后验概率 MAP或对数最 大后验概率 LogMAP或最大对数的最大后验概率 MaxLogMAP迭代算法的 卷积译码器。
优选地， 所述 MAP或 LogMAP或 MaxLogMAP迭代算法中的前向累 积度量和后向累积度量的初值设定在- 16至 -128之间。
本发明实施例还提供一种干扰消除装置， 所述装置包括第一重构单元、 第二重构单元和处理单元， 其中:
所述第一重构单元， 配置为根据数据信息的编码软信息对所接收到的 数据信息进行软信息重构 , 得到所述数据信息的重构软调制信息；
所述第二重构单元， 配置为根据编码软信息或解码信息比特序列信息 对所接收到的控制信息进行软信息重构， 得到所述控制信息的重构软调制 信息；
所述处理单元 , 配置为将所述数据信息的重构软调制信息和所述控制 信息的重构软调制信息进行预编码， 利用预编码后的重构信息进行干扰消 除过程。
优选地， 所述控制信息包括采用重复映射编码的混合自动重传请求应 答 HARQ-ACK信息和信道秩指示 RI信息；
对应地， 所述第二重构单元， 配置为分别获取译码得到的 HARQ- ACK 信息和 RI信息的解码信息比特序列信息； 采用与发射端相同的过程对所述 解码信息比特序列信息进行重复映射编码、 交织及调制， 得到 HARQ- ACK 信息和 RI信息的重构调制软信息。
优选地， 所述控制信息包括采用块码编码的短信道质量指示 CQI/预编 码矩阵指示 PMI信息；
对应地， 所述第二重构单元， 配置为分别获取译码得到的 CQI/PMI信 息的解码信息比特序列信息； 采用与发射端相同的过程对所述解码信息比 特序列信息进行重复映射编码、 交织及调制， 得到 PMI/PMI信息的重构调 制软信息。
优选地， 所述控制信息包括采用卷积编码的长 CQI/PMI信息； 对应地， 所述第二重构单元， 配置为获取经过解调后得到的软判决信 息； 将所述软判决信息输入 MAP卷积译码器， 通过译码处理后获得 1/3码 率的编码软信息； 将所述 1/3 码率的编码软信息进行软信息调制， 得到长
CQI/PMI信息的重构调制软信息。
本发明实施例再提供一种计算机可读存储介质， 所述计算机可读存储 介质中存储有计算机可执行指令， 所述计算机可执行指令用于执行上述的 干 ·ί尤消除方法。
本发明实施例中， 根据数据信息的编码软信息对所接收到的数据信息 进行软信息重构， 得到所述数据信息的重构软调制信息； 根据编码软信息 或解码信息比特序列信息对所接收到的控制信息进行软信息重构 , 得到所 述控制信息的重构软调制信息； 将所述数据信息的重构软调制信息和所述 控制信息的重构软调制信息进行复用和交织 , 完成预编码后， 将重构信息 输出至干扰消除； 如此， 能够有效地提高复用控制信息场景下的多用户
MIMO的接收性能， 同时也能够降低协议栈在多用户 MIMO场景下的调度 复杂度及调度灵活性。 附图说明
图 1为 LTE系统中上行控制信息和上行数据复用方式的示意图;
图 2-1为本发明实施例千扰消除方法的实现流程示意图；
图 2-2为本发明实施例图 2- 1中步骤 202的实现流程示意图一； 图 2-3为本发明实施例图 2-1中步骤 202的实现流程示意图二； 图 2-4为本发明实施例图 2-1中步驟 202的实现流程示意图三； 图 3为本发明实施例干扰消除装置的组成结构示意图。 具体实施方式
在 LTE系统中， 上行需要传输的上行控制信息有混合自动重传请求应 答 ( HARQ-ACK, Hybrid Automatic Repeat reQuest AC nowledgement ), 以 及反映下行物理信道状态信息 ( CSI , Channel State Information ) 的三种形 式，信道质量指示、预编码矩阵指示信息和秩指示信息（ RI , Rank Indicator ),. 其中，
HARQ-ACK 信息在物理上行控制信道 ( PUCCH， Physical Uplink Control )上传输， 如果终端 （UE, User Equipment ) 需要发送上行数据时， 则 HARQ-AC 信息在 PUSCH上传输 ,3 CQI/PMI、 RI的反馈可以是周期性 的反馈， 也可以是非周期性的反馈， 其中， 对于周期性反馈的 CQI/PMI和 RI 而言， 如果 UE不需要发送上行数据， 则周期反馈的 CQI/PMI、 RI在 PUCCH上传输，如果 UE需要发送上行数据时，则 CQI/PMI、 RI在 PUSCH 上传输; 对于非周期性反馈的 CQI/PMI、 RI而言， 只在 PUSCH上传输。
其中， HARQ-AC 信息和 RI 信息是采用重复映射编码形成的； CQI/PMI 信息可以分为码长较短的短 CQ1/PM1 信息和码长较长的长 CQI/PMI 信息， 所述短 CQI/PMI 信息是釆用块码编码形成的； 所述长 CQ1/PM1 信息是采用的卷积编码形成的。 本发明实施例的信息重构对象就 是以上三种控制信息， 针对这三种控制信息进行重构， 进而实现对应的干 扰消除过程。
图 1 为 LTE系统中上行控制信息和上行数据复用方式的示意图， 如图
1所示， 上行数据以传输块（TB, Transport Block ) 的形式传输， TB经过 循环冗余校验添加 ( CRC Attachment ),码块分割 ( Code Block Segmentation ) 和子块 CRC 添加 ( Code Block CRC Attachment ), 信道编码 ( Channel Coding ),速率匹配 ( Rate Matching ),码块合成 ( Code B lock Concatenation ) 后与编码后 CQI/PMI进行上行数据和控制信息的复用 , 最后通过信道交织 将编码后的 ACK/NACK信息、 RJ信息和数据复用在一起。
图 2-1为本发明实施例干扰消除方法的实现流程示意图，如图 2-1所示， 所述方法包括：
步骤 201 ,根据数据信息的编码软信息对所接收到的数据信息进行软信 息重构， 得到所述数据信息的重构软调制信息；
这里， 所述译码器优选 Turbo译码器， 本步骤 201 可以采用与现有技 术的相同的实现过程， 这里不再赘述。
步骤 202 ,根据编码软信息或解码信息比特序列信息对所接收到的控制 信息进行软信息重构 , 得到所述控制信息的重构软调制信息；
这里， 所述控制信息包括采用重复映射编码的 HARQ-ACK信息和 RI 信息以及，采用块码编码的短 CQI/PMI信息，或采用卷积编码的长 CQI/PMI 信息；
这里， 所述解码信息比特序列信息是译码器输出的二进制比特序列信 if
步骤 203，将所述数据信息的重构软调制信息和所述控制信息的重构软 调制信息进行预编码 , 利用预编码后的重构信息进行干扰消除。
这里， 所述将所述数据信息的重构软调制信息和所述控制信息的重构 软调制信息进行编码， 利用编码后的重构信息进行干扰消除， 具体包括： 将所述数据信息的重构软调制信息和所述控制信息的重构软调制信息依次 进行复用和交织、 以及预编码， 并将预编码后的重构信息输出至干扰消除 模块进行干扰消除过程。 这里， 所述预编码在 LTE中是指对重构软调制信 息进行离散傅里叶变换的过程。 本领域技术人员应当理解， 利用重构软调 制信息进行干扰消除是容易实现的， 如可将待千扰处理的信息与重构软调 制信息进行相除处理， 即可实现干扰消除。
图 2-1所示的实施例中，步骤 201和步骤 202在实施例的过程中并无先 后顺序。 所述控制信息包括采用重复映射编码的 HARQ-ACK信息和 RI信 息； 对应地， 如图 2-2所示， 所述步骤 202包括：
步骤 221 , 分别获取译码得到的 HARQ- ACK信息和 RI信息的解码信 息比特序列信息；
步驟 222,采用与发射端相同的过程对所述解码信息比特序列信息进行 重复映射编码、 交织及调制， 得到 HARQ- ACK信息和 RI信息的重构调制 软信息。
这里， 所述解码信息比特序列信息是译码器输出的二进制比特序列信 这里， 由于 HARQ- ACK信息和 RI信息在发射端进行了多次的重复， 所以具有较高的重复增益， 可靠性较高， 因此， 可以直接采用与发射端相 同的过程对译码器得到的解码信息比特序列信息进行重复映射编码、 交织 及调制， 得到重构的调制软信息。 其中， 发射端对 HARQ-ACK信息和 RI 信息进行重复映射编码、 交织及调制的过程， 可以参照标准协议上的相关 规范； 因此接收端也可参照标准协议上的相关规范， 这里不再赘述。
图 2-1 所示的实施例中， 所述控制信息还包括采用块码编码的短 CQ1/PM1信息; 对应地， 如图 2-3所示， 所述步骤 202包括：
步骤 223 , 分别获取译码得到的 CQI/PMI信息的解码信息比特序列信 步骤 224,采用与发射端相同的过程对所述解码信息比特序列信息进行 重复映射编码、 交织及调制， 得到 PMI/PMI信息的重构调制软信息。
这里 , 由于采用块码编码的短 CQI/PMI信息在发射端具有较低的峰均 比， 且在多数场景下进行了多次的重复， 因此也具有较高的重复增益和可 靠性， 还由于块编码的编码软信息在译码过程中无法得到， 所以可以直接 采用与所述 HARQ-ACK信息和 RI信息相类似的方法重构所述短 CQI/PMI 信息的调制软信息。
这里，发射端对 CQI/PMI信息进行重复映射编码、 交织及调制的过程， 可以参照标准协议上的相关规范； 因此接收端也可参照标准协议上的相关 规范， 这里不再赘述。
图 2-1 所示的实施例中， 所述控制信息还包括采用卷积编码的长 CQI/PMI信息； 对应地， 如图 2-4所示， 所述步骤 202包括：
步骤 225 , 获取经过解调后得到的软判决信息；
步骤 226, 将所述软判决信息输入 MAP卷积译码器， 通过译码处理后 获得 1/3码率的编码软信息；将所述 1/3码率的编码软信息进行软信息调制 , 得到长 CQI/PMI信息的重构调制软信息。 这里， 采用卷积编码的长 CQI/PMI信息往往有着较大的资源需求， 但 考虑到数据信息的性能， 需要对 1/3速率的卷积编码信息进行速率匹配， 因 此， 所述长 CQI/PMI信息本身的重复增益较小； 同时， 现有技术在接收端 相关的译码处理上采用的是较为简单的维特比 ( Viterbi )译码算法， 由于 Viterbi译码算法无法实现编码软性息的输出 , 所以在长 CQI/PM1信息的重 构过程中， 可以采用基于最大后验概率 ( MAP , Maximum a Posteriori Probability )迭代算法的卷积译码器； 所述 MAP迭代算法包括 MAP或对数 最大后验概率 ( LogMAP, Logarithmic MAP )或最大对数的最大后验概率 ( MaxLogMAP, Maximum LogMAP )迭代算法。接收机经过解调后得到的 软判决信息输入基于 MAP迭代算法的卷积译码器， 通过译码处理， 进而获 得准确的 1/3码率的编码软信息输出， 并将该编码软信息进行软信息调制, 得到重构的调制软信息。
这里 , 针对 LTE系统中， 采用卷积编码的 CQI/PMI信息的原始码长较 小 , MAP迭代算法中关于前向累积度量和后向累积度量的负无穷的初值设 定会导致出现译码收敛速度慢、 系统时延负担较大的问题， 本发明实施例 对所述初值也作了改进， 具体地， 可以将所述 MAP 或 LogMAP 或 MaxLogMAP迭代算法中的前向累积度量和后向累积度量的初值设定在 -16 至- 128之间。 当所述初值为 2的幂次， 即为- 16、 -32、 -64或 -128时， 在大 大缩减 MAP或 LogMAP或 MaxLogMAP迭代算法的迭代次数， 而且经过 仿真试验的结果显示： 在相同的迭代次数下， 本发明实施例所改进的卷积 译码器与 Viterbi译码器有着相同甚至更优的性能。 实施例一
在本发明实施例一中 , 以多用户 MIMO配对 UE的 PUSCH中复用了 HARQ-AC 信息、 RI信息以及采用卷积编码的长 CQI/PMI信息， 调制方 式为 64QAM为例 , 对本发明实施例的技术方案进行详细说明 , 具体如下： 步骤 Dl , 根据译码器输出的编码软信息对所接收到的数据信息进行软 信息重构 , 得到所述数据信息的重构软调制信息；
步驟 D2, 根据译码器输出的解码信息比特序列信息对 HARQ-AC 信 息及 RI信息进行软信息重构， 得到所述控制信息的重构软调制信息；
具体地， 假设译码器得到的 HARQ-ACK信息为 1， 需要重复的次数为
5 次; 通过译码器得到映射编码后的重构比特序列为 1 10000, 1 10000,
1 10000,1 10000,1 10000, 经过接收机内的软调制模块之后的调制软信息序列 为「 3 3_ . 3 3_ . 3 3_ . 3 3_ . 3 3_ , . 这里， RI信息的重构过程与 HARQ-ACK信息的重构过程类似， 这里 不再赘述。
步骤 D3 , 根据译码器输出的编码软信息对采用卷积编码的长 CQI/PMI 信息进行软信息重构 , 得到所述控制信息的重构软调制信息；
具体地， 将接收机经过解调后得到的软判决信息输入基于 MaxLogMap 迭代算法的卷积译码器， 这里， 假定输入的软判决信息序列的系统信息序 列为： Sys(i ); 校验 1信息为: P_l(i); 校验 2信息为： P_2(i ); 其中， i=0, 1 , ..., K+4; K为编码块的长度。
通过迭代若干次的 MAP卷积译码器后得到的编码软信息序列为， 系统 软信息： Sys_LLR(i);校验 1软信息: PJ LLR (i);校验 2软信息: P 2 LLR (i); 其中 i=0, 1， K+4; K为编码块长度。 经过软调制模块之后的调制 软信息序列为： SoftMod— Seq。
步驟 D4, 将所述数据信息的重构软调制信息和所述控制信息的重构软 调制信息依次进行复用和交织、 以及预编码， 并将预编码后的重构信息输 出至干扰消除模块进行干扰消除过程。 本发明实施例还提供一种干扰消除装置， 图 3 为本发明实施例干扰消 除装置的组成结构示意图， 如图 3 所示， 所述干扰消除装置包括第一重构 单元 31、 第二重构单元 32和处理单元 33 , 其中:
所述第一重构单元 3 1 , 配置为根据数据信息的编码软信息对所接收到 的数据信息进行软信息重构， 得到所述数据信息的重构软调制信息;
所述第二重构单元 32, 配置为根据编码软信息或解码信息比特序列信 息对所接收到的控制信息进行软信息重构， 得到所述控制信息的重构软调 制信息；
所述处理单元 33 , 配置为将所述数据信息的重构软调制信息和所述控 制信息的重构软调制信息进行预编码， 利用预编码后的重构信息进行干扰 消除。
图 3 所示的实施例中， 所述控制信息包括采用重复映射编码的 HA Q-ACK信息和 RI信息;
对应地， 所述第二重构单元， 配置为分别获取译码得到的 HARQ- ACK 信息和 R1信息的解码信息比特序列信息； 采用与发射端相同的过程对所述 解码信息比特序列信息进行重复映射编码、 交织及调制， 得到 HARQ- ACK 信息和 RI信息的重构调制软信息。
图 3所示的实施例中， 所述控制信息包括采用块码编码的短 CQI/PMI 信息；
对应地， 所述第二重构单元， 配置为分别获取译码得到的 CQI/PMI信 息的解码信息比特序列信息； 采用与发射端相同的过程对所述解码信息比 特序列信息进行重复映射编码、 交织及调制， 得到 PMI/PMI信息的重构调 制软信息。
图 3所示的实施例中， 所述控制信息包括采用卷积编码的长 CQI/PMI 信息；
对应地， 所述第二重构单元， 配置为获取经过解调后得到的软判决信 息； 将所述软判决信息输入 MAP卷积译码器， 通过译码处理后获得 1/3码 率的编码软信息； 将所述 1/3 码率的编码软信息进行软信息调制， 得到长 CQI/PMI信息的重构调制软信息。
这里， 采用卷积编码的长 CQI/PMI信息往往有着较大的资源需求， 但 由于对数据信息性能的考虑， 需要对 1/3 速率的卷积编码信息进行速率匹 配， 所以， 所述长 CQI/PMI信息本身的重复增益较小； 同时， 现有技术在 接收端相关的译码处理上采用的是较为简单的 Viterbi 译码算法， 由于 Viterbi译码算法无法实现编码软性息的输出 , 所以在长 CQI/PMI信息的重 构过程中， 可以采用基于 MAP迭代算法的卷积译码器； 所述 MAP迭代算 法包括 MAP或 LogMAP或 MaxLogMAP迭代算法。 接收机经过解调后得 到的软判决信息输入基于 MAP迭代算法的卷积译码器， 通过译码处理， 进 而获得准确的 1/3码率的编码软信息输出，并将该编码软信息进行软信息调 制， 得到重构的调制软信息。
这里， 针对 LTE系统中， 采用卷积编码的 CQI/PMI信息的原始码长较 小 , MAP迭代算法中关于前向累积度量和后向累积度量的负无穷的初值设 定会导致出现译码收敛速度慢、 系统时延负担较大的问题， 本发明实施例 对所述初值也做了改进， 具体地， 可以将所述 MAP 或 LogMAP 或 MaxLogMAP迭代算法中的前向累积度量和后向累积度量的初值设定在 - 16 至- 128之间。 当所述初值为 2的幂次， 即为- 16、 -32、 -64或 - 128时， 能大 大缩减 MAP或 LogMAP或 MaxLogMAP迭代算法的迭代次数， 而且经过 仿真试验的结果显示： 在相同的迭代次数下， 本发明实施例所改进的卷积 译码器与 Viterbi译码器有着更优的性能
本发明实施例中提出的干扰消除装置中的第一重构单元、 第二重构单 元和处理单元都可以通过基站中接收机的处理器实现， 也可以通过具体的 逻辑电路实现； 比如， 在实际应用中， 可由中央处理器 （CPU, Central Processing Unit ), 微处理器（MPU, Micro Processor Unit )、 数字信号处理 器 ( DSP, Digital Signal Processor )、 或现场可编程门阵列 （ FPGA, Field Programmable Gate Array ) 实现。
本发明实施例中， 如果以软件功能模块的形式实现上述的干扰消除方 法， 并作为独立的产品销售或使用时， 也可以存储在一个计算机可读取存 储介质中。 基于这样的理解， 本发明实施例的技术方案本质上或者说对现 有技术做出贡献的部分可以以软件产品的形式体现出来 , 该计算机软件产 品存储在一个存储介质中 , 包括若千指令用以使得一台计算机设备 (可以 是个人计算机、 服务器、 或者网络设备等）执行本发明各个实施例所述方 法的全部或部分。 而前述的存储介质包括： U盘、 移动硬盘、 只读存储器 ( ROM , Read Only Memory )、磁碟或者光盘等各种可以存储程序代码的介 质。 这样， 本发明实施例不限制于任何特定的硬件和软件结合。
相应地， 本发明实施例再提供一种计算机可读存储介质， 所述计算机 可读存储介质中存储有计算机可执行指令， 所述计算机可执行指令用于执 行本发明各实施例提供的干扰消除方法。
以上所述仅为本发明的优选实施例 , 并非因此限制本发明的专利保护 范围， 凡是利用本发明说明书及附图内容所作的等效结构或等效流程变换， 或直接或间接运用在其他相关的技术领域， 均同理包括在本发明的专利保 护范围。 工业实用性
本发明实施例中 , 根据数据信息的编码软信息对所接收到的数据信息 进行软信息重构， 得到所述数据信息的重构软调制信息； 根据编码软信息 或解码信息比特序列信息对所接收到的控制信息进行软信息重构， 得到所 述控制信息的重构软调制信息； 将所述数据信息的重构软调制信息和所述 控制信息的重构软调制信息进行复用和交织， 完成预编码后， 将重构信息 输出至干扰消除； 如此， 能够有效地提高复用控制信息场景下的多用户
MIMO的接收性能， 同时也能够降低协议栈在多用户 MIMO场景下的调度 复杂度及调度灵活性。

Claims

权利要求书
1、 一种干扰消除方法， 所述方法包括：
根据数据信息的编码软信息对所接收到的数据信息进行软信息重构 , 得到所述数据信息的重构软调制信息；
根据编码软信息或解码信息比特序列信息对所接收到的控制信息进行 软信息重构， 得到所述控制信息的重构软调制信息；
将所述数据信息的重构软调制信息和所述控制信息的重构软调制信息 进行预编码 , 利用预编码后的重构信息进行干扰消除。
2、 根据权利要求 1所述的方法, 其中， 所述控制信息包括采用重复映 射编码的混合自动重传请求应答 HARQ-AC 信息和信道秩指示 RI信息; 对应地， 所述根据编码软信息或解码信息比特序列信息对所接收到的 控制信息进行软信息重构, 得到所述控制信息的重构软调制信息， 包括: 分别获取译码得到的 HARQ-AC 信息和 RI信息的解码信息比特序列 信息；
采用与发射端相同的过程对所述解码信息比特序列信息进行重复映射 编码、 交织及调制， 得到 HARQ-ACK信息和 RI信息的重构调制软信息。
3、 根据权利要求 1或 2所述的方法， 其中， 所述控制信息包括采用块 码编码的短信道质量指示 CQI/预编码矩阵指示 PMI信息;
对应地， 所述根据编码软信息或解码信息比特序列信息对所接收到的 控制信息进行软信息重构， 得到所述控制信息的重构软调制信息， 包括： 分别获取译码得到的 CQI/PMI信息的解码信息比特序列信息;
采用与发射端相同的过程对所述解码信息比特序列信息进行重复映射 编码、 交织及调制， 得到 PMI/PMI信息的重构调制软信息。
4、 根据权利要求 1或 2所述的方法， 其中， 所述控制信息包括采用卷 积编码的长 CQI/PMI信息；
对应地， 所述根据编码软信息或解码信息比特序列信息对所接收到的 控制信息进行软信息重构， 得到所述控制信息的重构软调制信息， 包括： 获取经过解调后得到的软判决信息；
将所述软判决信息输入 MAP卷积译码器， 通过译码处理后获得 1/3码 率的编码软信息；
将所述 1/3码率的编码软信息进行软信息调制， 得到长 CQI/PMI信息 的重构调制软信息。
5、 根据权利要求 4所述的方法， 其中， 所述 MAP卷积译码器包括基 于最大后验概率 MAP或对数最大后验概率 LogMAP或最大对数的最大后 验概率 MaxLogMAP迭代算法的卷积译码器。
6、 根据权利要求 5 所述的方法， 其中， 所述 MAP 或 LogMAP 或 MaxLogMAP迭代算法中的前向累积度量和后向累积度量的初值设定在 -16 至- 128之间。
7、 一种干扰消除装置， 所述装置包括第一重构单元、 第二重构单元和 处理单元， 其中：
所述第一重构单元， 配置为根据数据信息的编码软信息对所接收到的 数据信息进行软信息重构 , 得到所述数据信息的重构软调制信息；
所述第二重构单元， 配置为根据编码软信息或解码信息比特序列信息 对所接收到的控制信息进行软信息重构， 得到所述控制信息的重构软调制 信息；
所述处理单元， 配置为将所述数据信息的重构软调制信息和所述控制 信息的重构软调制信息进行预编码 , 利用预编码后的重构信息进行干扰消 除过程。
8、 根据权利要求 7所述的装置， 其中， 所述控制信息包括采用重复映 射编码的混合自动重传请求应答 HARQ-AC 信息和信道秩指示 RI信息; 对应地， 所述第二重构单元， 配置为分别获取译码得到的 HARQ- ACK 信息和 RI信息的解码信息比特序列信息； 采用与发射端相同的过程对所述 解码信息比特序列信息进行重复映射编码、 交织及调制， 得到 HARQ- ACK 信息和 R1信息的重构调制软信息。
9、 根据权利要求 7或 8所述的装置， 其中， 所述控制信息包括采用块 码编码的短信道质量指示 CQI/预编码矩阵指示 PMI信息;
对应地， 所述第二重构单元， 配置为分别获取译码得到的 CQI/PMI信 息的解码信息比特序列信息； 采用与发射端相同的过程对所述解码信息比 特序列信息进行重复映射编码、 交织及调制， 得到 PMI/PMI信息的重构调 制软信息。
10、 根据权利要求 7或 8所述的装置， 其中， 所述控制信息包括采用 卷积编码的长 CQI/PMI信息;
对应地， 所述第二重构单元， 配置为获取经过解调后得到的软判决信 息； 将所述软判决信息输入 MAP卷积译码器， 通过译码处理后获得 1/3码 率的编码软信息； 将所述 1/3码率的编码软信息进行软信息调制， 得到长 CQI/PMI信息的重构调制软信息。
1 1、 一种计算机可读存储介质， 所述计算机可读存储介质中存储有计 算机可执行指令， 所述计算机可执行指令用于执行权利要求 1 至 6任一项 干扰消除方法。
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