Trellis-Coded Non-Orthogonal Multiple Access

TL;DR

This paper introduces a trellis-coded NOMA scheme that enhances signal detection and power allocation, outperforming uncoded NOMA at high SNR through joint detection and optimized coding.

Contribution

It presents a novel trellis-coded NOMA scheme using tensor product trellises and Viterbi detection, with optimized power allocation for improved performance.

Findings

Trellis-coded NOMA outperforms uncoded NOMA at high SNR.

Joint detection via Viterbi algorithm improves decoding accuracy.

Optimal power allocation maximizes free distance of tensor trellis.

Abstract

In this letter, we propose a trellis-coded nonorthogonal multiple access (NOMA) scheme. The signals for different users are produced by trellis coded modulation (TCM) and then superimposed on different power levels. By interpreting the encoding process via the tensor product of trellises, we introduce a joint detection method based on the Viterbi algorithm. Then, we determine the optimal power allocation between the two users by maximizing the free distance of the tensor product trellis. Finally, we manifest that the trellis-coded NOMA outperforms the uncoded NOMA at high signal-to-noise ratio (SNR).