IEICE Transactions on Communications
Online ISSN : 1745-1345
Print ISSN : 0916-8516

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A Large-scale SCMA Codebook Optimization and Codeword Allocation Method
Shiqing QIANWenping GEYongxing ZHANGPengju ZHANG
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ジャーナル 認証あり 早期公開

論文ID: 2021EBP3156

この記事には本公開記事があります。
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Sparse code division multiple access (SCMA) is a non-orthogonal multiple access (NOMA) technology that can improve frequency band utilization and allow many users to share quite a few resource elements (REs). This paper uses the modulation of lattice theory to develop a systematic construction procedure for the design of SCMA codebooks under Gaussian channel environments that can achieve near-optimal designs, especially for cases that consider large-scale SCMA parameters. However, under the condition of large-scale SCMA parameters, the mother constellation (MC) points will overlap, which can be solved by the method of the partial dimensions transformation (PDT). More importantly, we consider the upper bounded error probability of the signal transmission in the AWGN channels, and design a codeword allocation method to reduce the inter symbol interference (ISI) on the same RE. Simulation results show that under different codebook sizes and different overload rates, using two different message passing algorithms (MPA) to verify, the codebook proposed in this paper has a bit error rate (BER) significantly better than the reference codebooks, moreover the convergence time does not exceed that of the reference codebooks.

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© 2021 The Institute of Electronics, Information and Communication Engineers
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