SCMA Codebook Design Based on Uniquely Decomposable Constellation Groups
Xuewan Zhang, Dalong Zhang, Liuqing Yang, Gangtao Han, Hsiao-Hwa Chen,, Di Zhang

TL;DR
This paper introduces a novel SCMA codebook design based on uniquely decomposable constellation groups, improving BER performance and decoding efficiency for 5G systems by maximizing Euclidean distance and ensuring unique decodability.
Contribution
The paper proposes a new codebook design method using UDCG that enhances SCMA performance and decoding reliability over existing schemes.
Findings
BER performance outperforms existing schemes
Large minimum Euclidean distance in superimposed constellations
Effective codebook design for large-size codebooks
Abstract
Sparse code multiple access (SCMA), which helps improve spectrum efficiency (SE) and enhance connectivity, has been proposed as a non-orthogonal multiple access (NOMA) scheme for 5G systems. In SCMA, codebook design determines system overload ratio and detection performance at a receiver. In this paper, an SCMA codebook design approach is proposed based on uniquely decomposable constellation group (UDCG). We show that there are constellations in the proposed UDCG, each of which has constellation points. These constellations are allocated to users sharing the same resource. Combining the constellations allocated on multiple resources of each user, we can obtain UDCG-based codebook sets. Bit error ratio (BER) performance will be discussed in terms of coding gain maximization with superimposed constellations and UDCG-based codebooks. Simulation results…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
