The University of Southampton
University of Southampton Institutional Repository

Differential-detection aided large-scale generalized spatial modulation is capable of operating in high-mobility millimeter-wave channels

Differential-detection aided large-scale generalized spatial modulation is capable of operating in high-mobility millimeter-wave channels
Differential-detection aided large-scale generalized spatial modulation is capable of operating in high-mobility millimeter-wave channels
A large-scale differential-detection aided generalized spatial modulation (GSM) system is proposed, which relies on a novel Gram-Schmidt basis set and an adaptive low-complexity detector, and is evidently suitable for high-mobility millimeter-wave (mmWave) channels. We consider non-stationary time-varying mmWave channels and assume that the beam-angles remain relatively fixed, while the channel coefficients vary rapidly. In this scenario, it is a challenging task to find the accurate estimates of channel coefficients for digital beamforming, which becomes an even more severe problem, as the numbers of subarrays and subcarriers increase. Our analog-beamforming-aided nonsquare differentially-detected scheme achieves a higher transmission rate than the conventional coherent multiple-input multiple-output schemes because the pilot overhead and the complex-valued feedback are eliminated. Our simulation results following the IEEE 802.11ad specifications show that the performance of our proposed nonsquare differential GSM improved upon increasing the number of subarrays, where the maximum transmission rate of 16 [bps/Hz] was considered.
Ishikawa, Naoki
7330750b-e4bc-4f46-b500-e190264b2af6
Mysore rajashekar, Rakshith
d2fbbb04-57c5-4165-908f-600fc1fbdeab
Xu, Chao
5710a067-6320-4f5a-8689-7881f6c46252
El-Hajjar, Mohammed
3a829028-a427-4123-b885-2bab81a44b6f
Sugiura, Shinya
4c8665dd-1ad8-4dc0-9298-bf04eded3579
Yang, Lie-liang
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Ishikawa, Naoki
7330750b-e4bc-4f46-b500-e190264b2af6
Mysore rajashekar, Rakshith
d2fbbb04-57c5-4165-908f-600fc1fbdeab
Xu, Chao
5710a067-6320-4f5a-8689-7881f6c46252
El-Hajjar, Mohammed
3a829028-a427-4123-b885-2bab81a44b6f
Sugiura, Shinya
4c8665dd-1ad8-4dc0-9298-bf04eded3579
Yang, Lie-liang
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Ishikawa, Naoki, Mysore rajashekar, Rakshith, Xu, Chao, El-Hajjar, Mohammed, Sugiura, Shinya, Yang, Lie-liang and Hanzo, Lajos (2019) Differential-detection aided large-scale generalized spatial modulation is capable of operating in high-mobility millimeter-wave channels. IEEE Journal of Selected Topics in Signal Processing. (doi:10.1109/JSTSP.2019.2913130).

Record type: Article

Abstract

A large-scale differential-detection aided generalized spatial modulation (GSM) system is proposed, which relies on a novel Gram-Schmidt basis set and an adaptive low-complexity detector, and is evidently suitable for high-mobility millimeter-wave (mmWave) channels. We consider non-stationary time-varying mmWave channels and assume that the beam-angles remain relatively fixed, while the channel coefficients vary rapidly. In this scenario, it is a challenging task to find the accurate estimates of channel coefficients for digital beamforming, which becomes an even more severe problem, as the numbers of subarrays and subcarriers increase. Our analog-beamforming-aided nonsquare differentially-detected scheme achieves a higher transmission rate than the conventional coherent multiple-input multiple-output schemes because the pilot overhead and the complex-valued feedback are eliminated. Our simulation results following the IEEE 802.11ad specifications show that the performance of our proposed nonsquare differential GSM improved upon increasing the number of subarrays, where the maximum transmission rate of 16 [bps/Hz] was considered.

Text
190423_main_accepted - Accepted Manuscript
Download (1MB)

More information

Accepted/In Press date: 17 April 2019
e-pub ahead of print date: 25 April 2019

Identifiers

Local EPrints ID: 430982
URI: https://eprints.soton.ac.uk/id/eprint/430982
PURE UUID: c4b08d07-74f8-472f-9b45-27c51ac85d2e
ORCID for Rakshith Mysore rajashekar: ORCID iD orcid.org/0000-0002-7688-7539
ORCID for Chao Xu: ORCID iD orcid.org/0000-0002-8423-0342
ORCID for Mohammed El-Hajjar: ORCID iD orcid.org/0000-0002-7987-1401
ORCID for Lie-liang Yang: ORCID iD orcid.org/0000-0002-2032-9327
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 21 May 2019 16:30
Last modified: 22 May 2019 00:38

Export record

Altmetrics

Contributors

Author: Naoki Ishikawa
Author: Rakshith Mysore rajashekar ORCID iD
Author: Chao Xu ORCID iD
Author: Mohammed El-Hajjar ORCID iD
Author: Shinya Sugiura
Author: Lie-liang Yang ORCID iD
Author: Lajos Hanzo ORCID iD

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 https://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.

×