The University of Southampton
University of Southampton Institutional Repository

A non-coherent multi-user large scale SIMO system relaying on M-ary DPSK

A non-coherent multi-user large scale SIMO system relaying on M-ary DPSK
A non-coherent multi-user large scale SIMO system relaying on M-ary DPSK
A non-coherent detection assisted Differential Phase Shift Keying aided large-scale MIMO system is designed in a wireless uplink where multiple single-antenna users are transmitting to the base station's receiver equipped with a very large number of receive antennas. We show that the signal to interference plus noise ratio (SINR) scales with the number of receive antennas, which confirms the same scaling law found in coherent systems. We propose a range of constellation designs that allow us to separate the users' signals at the receiver by relying only on the knowledge of the average received power per user. We analyse the error probability and provide insights into the beneficial selection of the constellation parameters. Finally, we provide some numerical results showing that our proposals require a lower number of receive antennas to achieve a given error probability than other non-coherent benchmark schemes available in the literature, while they are not far from an equivalent coherent system relying on realistic channel estimation settings.
978-1-4673-6432-4/15
2517-2522
Armada, Ana Garcia
8a338980-9834-4da1-ab82-90df26b7d10e
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Armada, Ana Garcia
8a338980-9834-4da1-ab82-90df26b7d10e
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Armada, Ana Garcia and Hanzo, Lajos (2015) A non-coherent multi-user large scale SIMO system relaying on M-ary DPSK. 2015 IEEE International Conference on Communications (ICC). 08 - 12 Jun 2015. pp. 2517-2522 . (doi:10.1109/ICC.2015.7248703).

Record type: Conference or Workshop Item (Paper)

Abstract

A non-coherent detection assisted Differential Phase Shift Keying aided large-scale MIMO system is designed in a wireless uplink where multiple single-antenna users are transmitting to the base station's receiver equipped with a very large number of receive antennas. We show that the signal to interference plus noise ratio (SINR) scales with the number of receive antennas, which confirms the same scaling law found in coherent systems. We propose a range of constellation designs that allow us to separate the users' signals at the receiver by relying only on the knowledge of the average received power per user. We analyse the error probability and provide insights into the beneficial selection of the constellation parameters. Finally, we provide some numerical results showing that our proposals require a lower number of receive antennas to achieve a given error probability than other non-coherent benchmark schemes available in the literature, while they are not far from an equivalent coherent system relying on realistic channel estimation settings.

Text
07248703.pdf - Version of Record
Restricted to Repository staff only
Request a copy

More information

Published date: 5 June 2015
Venue - Dates: 2015 IEEE International Conference on Communications (ICC), 2015-06-08 - 2015-06-12

Identifiers

Local EPrints ID: 387148
URI: http://eprints.soton.ac.uk/id/eprint/387148
ISBN: 978-1-4673-6432-4/15
PURE UUID: d4124ae8-708e-4353-a05b-b75d7875f067
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 16 Feb 2016 10:07
Last modified: 18 Mar 2024 02:35

Export record

Altmetrics

Contributors

Author: Ana Garcia Armada
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.

×