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Buffer-aided relay selection for cooperative NOMA in the Internet of Things
journal contribution
posted on 2019-09-12, 10:39 authored by Mohammad Alkhawatrah, Yu GongYu Gong, Gaojie Chen, Sangarapillai LambotharanSangarapillai Lambotharan, Jonathon ChambersThe 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 JournalVolume
6Issue
3Pages
5722 - 5731Publisher
Institute of Electrical and Electronics Engineers (IEEE)Version
- AM (Accepted Manuscript)
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© IEEEPublisher 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
2019-03-10Publication date
2019-03-14Copyright date
2019eISSN
2327-4662Language
- en
Depositor
Dr Yu GongUsage metrics
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