The University of Southampton
University of Southampton Institutional Repository

Robust beamforming design in a NOMA cognitive radio network relying on SWIPT

Robust beamforming design in a NOMA cognitive radio network relying on SWIPT
Robust beamforming design in a NOMA cognitive radio network relying on SWIPT
This paper studies a multiple-input single-output non-orthogonal multiple access cognitive radio network relying on simultaneous wireless information and power transfer. A realistic non-linear energy harvesting model is applied and a power splitting architecture is adopted at each secondary user (SU).
Since it is difficult to obtain perfect channel state information (CSI) in practice, instead either a bounded or gaussian CSI error model is considered. Our robust beamforming and power splitting ratio are jointly designed for two problems with different objectives, namely minimizing the transmission power of the cognitive base station and maximizing the total harvested energy of the SUs. The optimization problems are difficult to solve mainly because of the non-linear structure of the energy harvesting and CSI errors models. We converted them into convex forms by using semi-definite relaxation. For the minimum
transmission power problem, we obtain the rank-2 solution under the bounded CSI error model, while for the maximum energy harvesting problem, a two-loop procedure using a one-dimensional search is proposed. Our simulation results show that the proposed scheme significantly outperforms its traditional
orthogonal multiple access counterpart. Furthermore, the performance using the gaussian CSI error model is generally better than that using the bounded CSI error model.
0733-8716
Sun, Haijian
0812962c-df38-4886-94db-5ae37ffe7f04
Zhou, Fuhui
24a353b5-2a21-46b1-b04c-b1d8b6acb6f0
Hu, Rose Qingyang
5001b455-00dd-49ca-8efb-74a009a5ba9f
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Sun, Haijian
0812962c-df38-4886-94db-5ae37ffe7f04
Zhou, Fuhui
24a353b5-2a21-46b1-b04c-b1d8b6acb6f0
Hu, Rose Qingyang
5001b455-00dd-49ca-8efb-74a009a5ba9f
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Sun, Haijian, Zhou, Fuhui, Hu, Rose Qingyang and Hanzo, Lajos (2018) Robust beamforming design in a NOMA cognitive radio network relying on SWIPT. IEEE Journal on Selected Areas in Communications. (doi:10.1109/JSAC.2018.2872375).

Record type: Article

Abstract

This paper studies a multiple-input single-output non-orthogonal multiple access cognitive radio network relying on simultaneous wireless information and power transfer. A realistic non-linear energy harvesting model is applied and a power splitting architecture is adopted at each secondary user (SU).
Since it is difficult to obtain perfect channel state information (CSI) in practice, instead either a bounded or gaussian CSI error model is considered. Our robust beamforming and power splitting ratio are jointly designed for two problems with different objectives, namely minimizing the transmission power of the cognitive base station and maximizing the total harvested energy of the SUs. The optimization problems are difficult to solve mainly because of the non-linear structure of the energy harvesting and CSI errors models. We converted them into convex forms by using semi-definite relaxation. For the minimum
transmission power problem, we obtain the rank-2 solution under the bounded CSI error model, while for the maximum energy harvesting problem, a two-loop procedure using a one-dimensional search is proposed. Our simulation results show that the proposed scheme significantly outperforms its traditional
orthogonal multiple access counterpart. Furthermore, the performance using the gaussian CSI error model is generally better than that using the bounded CSI error model.

Text
JSAC revision June 21 - Accepted Manuscript
Download (374kB)
Text
JSAC Sun Sep 13 - Accepted Manuscript
Download (741kB)

More information

Accepted/In Press date: 7 September 2018
e-pub ahead of print date: 2 October 2018

Identifiers

Local EPrints ID: 423197
URI: http://eprints.soton.ac.uk/id/eprint/423197
ISSN: 0733-8716
PURE UUID: 9f0f19dc-1230-448f-b91c-3a718746b3b0
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 19 Sep 2018 16:30
Last modified: 28 Apr 2022 01:34

Export record

Altmetrics

Contributors

Author: Haijian Sun
Author: Fuhui Zhou
Author: Rose Qingyang Hu
Author: Lajos Hanzo ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×