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Buffer-aided relay selection for cooperative NOMA in the Internet of Things

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posted on 2019-09-12, 10:39 authored by Mohammad Alkhawatrah, Yu GongYu Gong, Gaojie Chen, Sangarapillai LambotharanSangarapillai Lambotharan, Jonathon Chambers
The nonorthogonal multiple access (NOMA) well improves the spectrum efficiency which is particularly essential in the Internet of Things (IoT) system involving massive number of connections. It has been shown that applying buffers at relays can further increase the throughput in the NOMA relay network. This is however valid only when the channel signal-to-noise ratios (SNRs) are large enough to support the NOMA transmission. While it would be straightforward for the cooperative network to switch between the NOMA and the traditional orthogonal multiple access (OMA) transmission modes based on the channel SNR-s, the best potential throughput would not be achieved. In this paper, we propose a novel prioritization-based buffer-aided relay selection scheme which is able to seamlessly combine the NOMA and OMA transmission in the relay network. The analytical expression of average throughput of the proposed scheme is successfully derived. The proposed scheme significantly improves the data throughput at both low and high SNR ranges, making it an attractive scheme for cooperative NOMA in the IoT.

Funding

Engineering and Physical Sciences Research Council (EPSRC) under Grant EP/R006377/1 (“M3NETs”)

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

IEEE Internet of Things Journal

Volume

6

Issue

3

Pages

5722 - 5731

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Version

  • AM (Accepted Manuscript)

Rights holder

© IEEE

Publisher statement

© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Acceptance date

2019-03-10

Publication date

2019-03-14

Copyright date

2019

eISSN

2327-4662

Language

  • en

Depositor

Dr Yu Gong

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