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

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.

Automated summary

In this article, a sparse vector coding-based NOMA (SVC-NOMA) is proposed to address the inter-carrier interference (ICI) issue in multi-carrier NOMA scenarios. Simulation results demonstrate that SVC-NOMA outperforms conventional NOMA in terms of capacity and symbol error rate (SER) performance. Additionally, there is a trade-off between SVC-NOMA's ability to suppress ICI and the system's capacity performance, as shown in the results.