A coding cooperation method based on rate-compatible convolutional ldpc codes

Abstract

The invention provides a coding cooperation method based on rate-compatible convolution LDPC codes, and belongs to the technical field of coding and decoding. The method comprises a coding step that a source user carries out the coding of source information; a channel coding step that the source user carries out the channel coding of the coded information, and constructs a codeword C into two sub-codewords C1 and C2; a coding cooperation step that the source user broadcasts the sub-codeword C1 to a cooperation user and a base station, the cooperation user carries out the decoding of the sub-codeword C1, carries out the coding cooperation transmission according to a decoding result, and then transmits the information to the base station after cooperation; a base station decoding step that the base station judges a cooperation transmission mode, and carries out the channel decoding after the processing of the received information. The method carries out the construction of sub-codewords through employing a rate-compatible algorithm of convolution LDPC codes, carries out the coding cooperation on the basis, can remarkably improve the performance of a system in slow and quick fading scenes, can resist the slow and quick fading in a channel universally, and is wide in application range.

Description

technical field [0001] The invention relates to a coding and decoding technology, in particular to a coding cooperation method based on a rate-compatible convolutional LDPC code. Background technique [0002] In order to achieve ultra-high-speed transmission under densely distributed conditions, 5G communication technology requires faster transmission speed and larger system capacity of the communication system. The existing MIMO (Multiple-input multiple-output) technology uses diversity to combat fading in wireless communication. However, due to the limitations of mobile terminals on volume, quality and power consumption, the application of multi-antenna systems is greatly restricted. . Considering the dense distribution of single-antenna mobile terminals, mobile terminals can cooperate with each other and share each other's antennas to form a virtual MIMO system to transmit information. Collaboration methods mainly include amplification and forwarding, decoding and forwa...

AI Technical Summary

Problems solved by technology

[0004] Although many researchers have conducted in-depth research on convolutional LDPC codes and coding cooperation over the years, the research on coding cooperation based on convolutional LDPC codes is basically blank.

In traditional coding cooperation, the source user and the cooperative user transmit different parts of the codeword in different channels to obtain diversity gain. In the slow fading scenario, the fading coefficient of each user's uplink channel remains unchanged, and the source user uses the channel of the cooperative user to transmit information. However, in the fast fading scenario, the fading coefficients of each user's uplink channel are independent of each other in each symbol. At this time, there will be no additional performance improvement for the channel transmission of cooperative users, and the application scenarios are relatively limited.

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