Research Article
NOMA-Based Statistical Signal Transmission for Beyond 5G Communications
@INPROCEEDINGS{10.1007/978-3-030-94763-7_22, author={Tianheng Xu and Ning Zhang and Ting Zhou and Honglin Hu and Xiaoming Tao}, title={NOMA-Based Statistical Signal Transmission for Beyond 5G Communications}, proceedings={Mobile Networks and Management. 11th EAI International Conference, MONAMI 2021, Virtual Event, October 27-29, 2021, Proceedings}, proceedings_a={MONAMI}, year={2022}, month={1}, keywords={NOMA Beyond 5G Spectrum efficiency Statistical signal transmission Differential window integration}, doi={10.1007/978-3-030-94763-7_22} }- Tianheng Xu
Ning Zhang
Ting Zhou
Honglin Hu
Xiaoming Tao
Year: 2022
NOMA-Based Statistical Signal Transmission for Beyond 5G Communications
MONAMI
Springer
DOI: 10.1007/978-3-030-94763-7_22
Abstract
With the rollout of fifth-generation (5G) communications, researches for beyond fifth generation (B5G) communications are being launched globally. In this paper, we explore for possible ways to integrate two promising techniques, including non-orthogonal multiple access (NOMA) and statistical signal transmission (SST), seeking a feasible perspective to promote the development of B5G communications. Specifically, NOMA allows multiple users to occupy the same spectrum resource, which can greatly improve spectrum efficiency. On the other hand, SST utilizes higher-order moments to convey additional data over traditional first-order moment signals, which is capable of supporting inter-system data exchange. To verify the feasibility of combining NOMA and SST, in this paper we outline the transceiver architecture, and conceive the workflow for this promising NOMA-SST system. Considering that NOMA users at a same spectrum resource have intrinsic energy gaps, we further design a dedicated transmission strategy for NOMA-SST technique, aiming at compensating the performance for NOMA users with lower power levels. Numerical results reflect that the proposed technique can achieve satisfactory detection performance, which is promising for applications.
