Sparse Vector Coding-Based Multi-Carrier NOMA for In-Home Health Networks

Xuewan Zhang, Liuqing Yang, Zhiguo Ding, Jian Song, Yunkai Zhai, Di Zhang

Research output: Contribution to journalArticlepeer-review

44 Scopus citations


In-home health networks greatly rely on the massive connected monitoring devices. Compared to orthogonal multiple access (OMA), non-orthogonal multiple access (NOMA) can connect more monitoring devices and enhance the spectrum efficiency (SE) performance, which makes it an ideal solution to in-home health networks. However, conventional NOMA (C-NOMA) is mostly constrained to single-carrier scenario. The problem of multi-carrier NOMA lies in the inter-carrier interference (ICI) from neighboring carriers. In this article, we propose a sparse vector coding-based NOMA (SVC-NOMA) to suppress the ICI. We give closed-form expressions of capacity and symbol error rate (SER) performances for both C-NOMA and SVC-NOMA within the considered multi-carrier scenario. Simulation results demonstrate that compared to C-NOMA, SVC-NOMA has better capacity and SER performances. In addition, we find from our results that there is a trade-off between SVC-NOMA's ICI suppression ability and the system capacity performance.

Original languageEnglish (US)
Article number9181534
Pages (from-to)325-337
Number of pages13
JournalIEEE Journal on Selected Areas in Communications
Issue number2
StatePublished - Feb 1 2021

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  • In-home health network
  • capacity
  • non-orthogonal multiple access
  • sparse vector coding
  • symbol error rate


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