Loughborough University
Browse
FINAL VERSION.pdf (670.43 kB)

A NOMA-enhanced reconfigurable access scheme with device pairing for M2M networks

Download (670.43 kB)
journal contribution
posted on 2019-03-15, 09:48 authored by Atoosa Dalili Shoaei, Mahsa DerakhshaniMahsa Derakhshani, Tho Le-Ngoc
This paper aims to address the distinct requirements of machine-to-machine networks, particularly heterogeneity and massive transmissions. To this end, a reconfigurable medium access control (MAC) with the ability to choose a proper access scheme with the optimal configuration for devices based on the network status is proposed. In this scheme, in each frame, a separate time duration is allocated for each of the nonorthogonal multiple access (NOMA)-based, orthogonal multiple access (OMA)-based, and random access-based segments, where the length of each segment can be optimized. To solve this optimization problem, an iterative algorithm consisting of two sub-problems is proposed. The first sub-problem deals with selecting devices for the NOMA/OMA-based transmissions, while the second one optimizes the parameter of the random access scheme. To show the efficacy of the proposed scheme, the results are compared with the reconfigurable scheme which does not support NOMA. The results demonstrate that by using a proper device pairing scheme for the NOMA-based transmissions, the proposed reconfigurable scheme achieves better performance when NOMA is adopted.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

IEEE Access

Citation

DALILI SHOAEI, A., DERAKHSHANI, M. and LE-NGOC, T., 2019. A NOMA-enhanced reconfigurable access scheme with device pairing for M2M networks. IEEE Access, 7, pp. 32266 - 32275.

Publisher

© IEEE

Version

  • AM (Accepted Manuscript)

Acceptance date

2019-02-15

Publication date

2019-03-13

Notes

© 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.

ISSN

2169-3536

Language

  • en

Usage metrics

    Loughborough Publications

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC