Loughborough University
Browse

A joint beamforming and power-splitter optimization technique for SWIPT in MISO-NOMA system

Download (998.88 kB)
journal contribution
posted on 2021-04-15, 15:40 authored by Haitham Al-Obiedollah, Kanapathippillai Cumanan, Haythem Bany-Salameh, Sangarapillai LambotharanSangarapillai Lambotharan, Yogachandran RahulamathavanYogachandran Rahulamathavan, Zhiguo Ding, Octavia A. Dobre
In this paper, we propose a joint beamforming and power-splitter optimization technique for simultaneous wireless power and information transfer in the downlink transmission of a multiple-input single-output (MISO) non-orthogonal multiple access (NOMA) system. Accordingly, each user employs a power splitter to decompose the received signal into two parts, namely, the information decoding and energy harvesting. The former part is used to decode the corresponding transmitted information, whereas the latter part is utilized for harvesting energy. For this system model, we solve an energy harvesting problem with a set of design constraints at the transmitter and the receiver ends. In particular, the beamforming vector and the power splitting ratio for each user are jointly designed such that the overall harvested power is maximized subject to minimum per-user rate requirements and the available power budget constraints at the base station. As the formulated problem turns out to be non-convex in terms of the design parameters, we propose a sequential convex approximation technique and demonstrate a superior performance compared to a baseline scheme.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

IEEE Access

Volume

9

Pages

33018 - 33029

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Version

  • VoR (Version of Record)

Rights holder

© The Authors

Publisher statement

This is an Open Access Article. It is published by IEEE under the Creative Commons Attribution 4.0 International Licence (CC BY 4.0). Full details of this licence are available at: https://creativecommons.org/licenses/by/4.0/

Acceptance date

2021-02-16

Publication date

2021-02-22

ISSN

2169-3536

Language

  • en

Depositor

Prof Sangarapillai Lambotharan. Deposit date: 18 February 2021

Usage metrics

    Loughborough Publications

    Categories

    No categories selected

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC