The University of Southampton
University of Southampton Institutional Repository

Distributed antenna systems in fractional-frequency-reuse-aided cellular networks

Zhang, Jie, Zhang, Rong, Li, Guangjun and Hanzo, Lajos (2013) Distributed antenna systems in fractional-frequency-reuse-aided cellular networks IEEE Transactions on Vehicular Technology, 62, (3), pp. 1340-1349.

Record type: Article

Abstract

Distributed antenna system (DAS)-aided unity frequency reuse (UFR) and fractional frequency reuse (FFR) transmission scenarios are investigated in this paper, employing the classic multiobjective of nondominated sorting genetic algorithm II (NSGA-II) for maximizing cell throughput and the coverage. More specifically, coordinated multipoint (CoMP) cooperation is invoked among the distributed antennas (DAs) and the base station (BS) in support of the mobile stations (MSs) roaming at the cell edge, while considering a range of practical impairments. We demonstrate that the received signal-to-interference ratio (SIR) of non-CoMP transmissions follows the lognormal distribution by taking into account both fast fading and large-scale shadowing and path-loss effects. Our simulation results demonstrate that DAS-aided cooperation is capable of achieving a fivefold increased throughput over that of the traditional arrangement. Explicitly, an average throughput per channel of 6.61 bits/symbol may be achieved.

PDF 06363620.pdf - Other
Download (1MB)

More information

Published date: March 2013
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 346072
URI: http://eprints.soton.ac.uk/id/eprint/346072
ISSN: 0018-9545
PURE UUID: b848025c-075f-41d7-959c-2e421f49a0cc

Catalogue record

Date deposited: 10 Dec 2012 15:45
Last modified: 18 Jul 2017 05:06

Export record

Contributors

Author: Jie Zhang
Author: Rong Zhang
Author: Guangjun Li
Author: Lajos Hanzo

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.

×