Toggle Main Menu Toggle Search

Open Access padlockePrints

User priority aware scheduling and dynamic resource allocation in orthogonal frequency division multiple access

Lookup NU author(s): Professor Bayan Sharif, Dr Charalampos Tsimenidis

Downloads

Full text for this publication is not currently held within this repository. Alternative links are provided below where available.


Abstract

In this study, new mathematical formulations and algorithms for joint scheduling and hybrid resource allocation are derived and investigated for a multi-user downlink orthogonal frequency division multiple access system. A three-sectored multicellular heterogeneous traffic environment is considered where users are randomly distributed and categorised under different priority levels. Traffic consists of time delay-sensitive and time delay-insensitive services. Three practical scheduling and resource allocation methods are proposed to address the balance between throughput, outage probability and resource efficiency under varying channel conditions. The proposed methods are based on the Lagrangian duality framework, and are formulated as mixed integer programming problems constrained by the total power of the base station and users' data rate while maintaining the quality of service for each user. Both dynamic and fixed resource allocation approaches are included in the main problem formulation. The complexity of the resource allocation problem is minimised by approximating the well-known water level. Simulation results show that the total system throughput is penalised for the method that aims to minimise the outage probability of the highest priority level. This is because of the severe channel conditions experienced by some users, whereas the alternatively proposed methods maintain system efficiency under a similar amount of constrained resources and required traffic.


Publication metadata

Author(s): Al Rawi AF, Sharif BS, Tsimenidis CC

Publication type: Article

Publication status: Published

Journal: IET Communications

Year: 2011

Volume: 5

Issue: 7

Pages: 1006-1019

Print publication date: 01/05/2011

ISSN (print): 1751-8628

ISSN (electronic): 1751-8636

Publisher: The Institution of Engineering and Technology

URL: http://dx.doi.org/10.1049/iet-com.2010.0141

DOI: 10.1049/iet-com.2010.0141


Altmetrics

Altmetrics provided by Altmetric


Actions

Find at Newcastle University icon    Link to this publication


Share