Rate-Diverse Multiple Access Over Gaussian Channels

In this work, we develop a pair of rate-diverse encoder and decoder for a two-user Gaussian multiple access channel (GMAC). The proposed scheme enables the users to transmit with the same codeword length but different coding rates under diverse user channel conditions. First, we propose the row-comb...

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Bibliographic Details
Published in:IEEE transactions on wireless communications 2023-08, Vol.22 (8), p.5399-5413
Main Authors: Chen, Pingping, Shi, Long, Fang, Yi, Lau, Francis C. M., Cheng, Jun
Format: Article
Language:English
Subjects:
Algorithms
Coders
Codes
Decoding
Encoding
Error correcting codes
extrinsic information transfer (EXIT) chart analysis
Gaussian multiple access channel (GMAC)
Information transfer
Iterative decoding
Iterative methods
low-density parity-check (LDPC) code
Messages
Modulation
Multiple access
Parity
Random variables
Receivers
Wireless communication
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Summary:In this work, we develop a pair of rate-diverse encoder and decoder for a two-user Gaussian multiple access channel (GMAC). The proposed scheme enables the users to transmit with the same codeword length but different coding rates under diverse user channel conditions. First, we propose the row-combining (RC) method and row-extending (RE) method to design practical low-density parity-check (LDPC) channel codes for rate-diverse GMAC. Second, we develop an iterative rate-diverse joint user messages decoding (RDJD) algorithm for GMAC, where all user messages are decoded with a single parity-check matrix. In contrast to the conventional network-coded multiple access (NCMA) and compute-forward multiple access (CFMA) schemes that first recover a linear combination of the transmitted codewords and then decode both user messages, this work can decode both the user messages simultaneously. Extrinsic information transfer (EXIT) chart analysis and simulation results indicate that RDJD can achieve gains up to 1.0 dB over NCMA and CFMA in the two-user GMAC. In particular, we show that there exists an optimal rate allocation for the two users to achieve the best decoding performance given the channel conditions and sum rate.
ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2022.3233798