The University of Southampton
University of Southampton Institutional Repository

Multiuser detection for nonlinear MIMO uplink

Multiuser detection for nonlinear MIMO uplink
Multiuser detection for nonlinear MIMO uplink
For the multiple-input multiple-output (MIMO) uplink employing high-order quadrature amplitude modulation (QAM) signaling and with nonlinear high power amplifiers (HPAs) at mobile users’ transmitters, the existing multiuser detection methods can no longer be applied. We propose a novel nonlinear multiuser detection scheme for the nonlinear MIMO uplink. Specifically, we adopt an effective B-spline parameterization of the nonlinear transmit HPAs and derive an efficient and accurate algorithm to identify the nonlinear MIMO uplink channel, including the nonlinear B-spline model of the nonlinear transmit HPAs and the estimate of the linear MIMO channel matrix. Moreover, as the direct result of this nonlinear MIMO channel identification, the B-spline inverse model of nonlinear transmit HPAs can readily be identified. The nonlinear multiuser detection can be effectively implemented by the zeroforcing linear detection based on the estimated linear MIMO channel and followed by compensating the nonlinear distortion of the nonlinear transmit HPAs based on the estimated B-spline inverse model. An extensive simulation investigation is performed to demonstrate the effectiveness of our proposed nonlinear multiuser detection scheme for nonlinear MIMO uplink with high-order QAM signaling.
0090-6778
207-219
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Ng, Soon
e19a63b0-0f12-4591-ab5f-554820d5f78c
Khalaf, Emad
7ecc0272-46ff-4e63-a37d-7e4703bff43b
Morfeq, Ali
134e2ca2-6d7b-42ae-90cf-e2aaf981a4b9
Alotaibi, Naif
3ede69be-ac73-43e0-8890-61ca5be9a2c2
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Ng, Soon
e19a63b0-0f12-4591-ab5f-554820d5f78c
Khalaf, Emad
7ecc0272-46ff-4e63-a37d-7e4703bff43b
Morfeq, Ali
134e2ca2-6d7b-42ae-90cf-e2aaf981a4b9
Alotaibi, Naif
3ede69be-ac73-43e0-8890-61ca5be9a2c2

Chen, Sheng, Ng, Soon, Khalaf, Emad, Morfeq, Ali and Alotaibi, Naif (2020) Multiuser detection for nonlinear MIMO uplink. IEEE Transactions on Communications, 68 (1), 207-219. (doi:10.1109/TCOMM.2019.2949991).

Record type: Article

Abstract

For the multiple-input multiple-output (MIMO) uplink employing high-order quadrature amplitude modulation (QAM) signaling and with nonlinear high power amplifiers (HPAs) at mobile users’ transmitters, the existing multiuser detection methods can no longer be applied. We propose a novel nonlinear multiuser detection scheme for the nonlinear MIMO uplink. Specifically, we adopt an effective B-spline parameterization of the nonlinear transmit HPAs and derive an efficient and accurate algorithm to identify the nonlinear MIMO uplink channel, including the nonlinear B-spline model of the nonlinear transmit HPAs and the estimate of the linear MIMO channel matrix. Moreover, as the direct result of this nonlinear MIMO channel identification, the B-spline inverse model of nonlinear transmit HPAs can readily be identified. The nonlinear multiuser detection can be effectively implemented by the zeroforcing linear detection based on the estimated linear MIMO channel and followed by compensating the nonlinear distortion of the nonlinear transmit HPAs based on the estimated B-spline inverse model. An extensive simulation investigation is performed to demonstrate the effectiveness of our proposed nonlinear multiuser detection scheme for nonlinear MIMO uplink with high-order QAM signaling.

Text
nl-mimo-d - Accepted Manuscript
Download (5MB)
Text
TCOM2020-Jan
Restricted to Repository staff only
Request a copy

More information

Accepted/In Press date: 29 October 2019
e-pub ahead of print date: 29 October 2019
Published date: 15 January 2020

Identifiers

Local EPrints ID: 436794
URI: http://eprints.soton.ac.uk/id/eprint/436794
ISSN: 0090-6778
PURE UUID: 4d5de96b-2201-423c-b117-077b12d18910
ORCID for Soon Ng: ORCID iD orcid.org/0000-0002-0930-7194

Catalogue record

Date deposited: 09 Jan 2020 17:31
Last modified: 07 Oct 2020 05:50

Export record

Altmetrics

Contributors

Author: Sheng Chen
Author: Soon Ng ORCID iD
Author: Emad Khalaf
Author: Ali Morfeq
Author: Naif Alotaibi

University divisions

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.

×