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Gaussian and Fading Multiple Access Using Linear Physical-Layer Network Coding
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DOI：10.1109/TWC.2022.3216002.png)
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Abstract
En 中文
This paper concerns with efficient communication over Gaussian and fading multiple-access channels (MACs). Existing orthogonal multiple-access (OMA) and power-domain nonorthogonal-OMA (NOMA) cannot achieve all rate-tuples in the MAC capacity region. Meanwhile, code-domain NOMA schemes usually require big-loop receiver-iterations for multiuser decoding, which is subject to high implementation cost and latency. This paper studies a linear physical-layer network coding multiple access (LPNC-MA) scheme that is capable of achieving any rate-tuples in the MAC capacity region without receiver iterations. For deterministic Gaussian MACs with M users, we propose to utilize q-ary irregular repeat accumulate (IRA) codes over finite integer fields/rings and q-ary pulse amplitude modulation (q-PAM) as the underlying coded-modulation. The receiver sequentially computes M network coded (NC) messages of the M users. All users' messages are then recovered by solving the computed M NC messages via the inverse of the NC coefficient matrix. A joint nested code construction and extrinsic information transfer (EXIT) chart based code optimization method is developed, yielding near-capacity performance (within 0.7 and 1.1 dB the capacity limits for two and three users respectively). For fading MAC, we study the symmetric rate of LPNC-MA, and propose a pragmatic method for identifying the mutual information (MI) maximizing network coding coefficient matrix. Numerical results demonstrate that the frame error rate (FER) of the optimized LPNC-MA is within a fraction of dB the outage probability of fading MAC capacity. LPNC-MA remarkably outperforms NOMA-SIC and IDMA while avoiding the big-loop receiver iteration.
Keywords:
Codes
Receivers
Iterative decoding
NOMA
Fading channels
Network coding
Modulation
physical-layer network coding
compute-forward
multiple access
coded modulation
iterative decoding
successive interference cancellation
Journal
IF:
10.7
Papers:
1.3W
Citations:
5.3W