The University of Southampton
University of Southampton Institutional Repository

Flexible resource allocation for joint optimization of energy and spectral efficiency in OFDMA multi-cell networks

Flexible resource allocation for joint optimization of energy and spectral efficiency in OFDMA multi-cell networks
Flexible resource allocation for joint optimization of energy and spectral efficiency in OFDMA multi-cell networks
The radio resource allocation problem is studied, aiming to jointly optimize the energy efficiency (EE) and spectral efficiency (SE) of downlink OFDMA multi-cell networks. Different from existing works on either EE or SE optimization, a novel EE-SE tradeoff (EST) metric, which can capture both the EST relation and the individual cells’ preferences for EE or SE performance, is introduced as the utility function for each base station (BS). Then the joint EE-SE optimization problem is formulated, and an iterative subchannel allocation and power allocation algorithm is proposed. Numerical results show that the proposed algorithm can exploit the EST relation flexibly and optimize the EE and SE simultaneously to meet diverse EE and SE preferences of individual cells.
energy efficiency, joint optimization, OFDMA multi-cell, resource allocation, spectral efficiency
451-454
Jing, Wenpeng
a20e782c-6478-4d30-826d-49c8faee33e4
Lu, Zhaoming
e0651226-abad-42b8-bd59-e0b1e0c035c2
Wen, Xiangming
958781f1-0b8e-4c62-9d5b-cbed2ecc12dd
Hu, Zhiqun
dab5bd5a-2411-4946-b3fd-169b55f26633
Yang, Shaoshi
df1e6c38-ff3b-473e-b36b-4820db908e60
Jing, Wenpeng
a20e782c-6478-4d30-826d-49c8faee33e4
Lu, Zhaoming
e0651226-abad-42b8-bd59-e0b1e0c035c2
Wen, Xiangming
958781f1-0b8e-4c62-9d5b-cbed2ecc12dd
Hu, Zhiqun
dab5bd5a-2411-4946-b3fd-169b55f26633
Yang, Shaoshi
df1e6c38-ff3b-473e-b36b-4820db908e60

Jing, Wenpeng, Lu, Zhaoming, Wen, Xiangming, Hu, Zhiqun and Yang, Shaoshi (2015) Flexible resource allocation for joint optimization of energy and spectral efficiency in OFDMA multi-cell networks. IEEE Communications Letters, 19 (3), 451-454. (doi:10.1109/LCOMM.2015.2392113).

Record type: Article

Abstract

The radio resource allocation problem is studied, aiming to jointly optimize the energy efficiency (EE) and spectral efficiency (SE) of downlink OFDMA multi-cell networks. Different from existing works on either EE or SE optimization, a novel EE-SE tradeoff (EST) metric, which can capture both the EST relation and the individual cells’ preferences for EE or SE performance, is introduced as the utility function for each base station (BS). Then the joint EE-SE optimization problem is formulated, and an iterative subchannel allocation and power allocation algorithm is proposed. Numerical results show that the proposed algorithm can exploit the EST relation flexibly and optimize the EE and SE simultaneously to meet diverse EE and SE preferences of individual cells.

Text
lcomm-jing-2392113-proof.pdf - Accepted Manuscript
Download (207kB)

More information

Published date: 6 March 2015
Keywords: energy efficiency, joint optimization, OFDMA multi-cell, resource allocation, spectral efficiency
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 373236
URI: http://eprints.soton.ac.uk/id/eprint/373236
PURE UUID: dca6ddb3-2fc1-4e14-9b7f-0537e54413b3

Catalogue record

Date deposited: 12 Jan 2015 16:55
Last modified: 14 Mar 2024 18:50

Export record

Altmetrics

Contributors

Author: Wenpeng Jing
Author: Zhaoming Lu
Author: Xiangming Wen
Author: Zhiqun Hu
Author: Shaoshi Yang

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.

×