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This article is part of the series Algorithmic Aspects of Wireless Networks.

Open Access Research Article

A Utility-Based Downlink Radio Resource Allocation for Multiservice Cellular DS-CDMA Networks

Mahdi Shabany1*, Keivan Navaie23 and Elvino S Sousa1

Author Affiliations

1 Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, Toronto, Ontario M5S 3G4, Canada

2 Department of Electrical and Computer Engineering, Faculty of Engineering, Tarbiat Modares University, P.O. Box 14155-4838, Tehran, Iran

3 The Broadband Communications and Wireless Systems (BCWS) Center, Department of Systems and Computer Engineering, Carleton University, Ottawa, Ontario K1S 5B6, Canada

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EURASIP Journal on Wireless Communications and Networking 2007, 2007:076193  doi:10.1155/2007/76193

The electronic version of this article is the complete one and can be found online at: http://jwcn.eurasipjournals.com/content/2007/1/076193


Received:30 May 2006
Revisions received:1 December 2006
Accepted:8 January 2007
Published:8 March 2007

© 2007 Shabany et al.

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

A novel framework is proposed to model downlink resource allocation problem in multiservice direct-sequence code division multiple-access (DS-CDMA) cellular networks. This framework is based on a defined utility function, which leads to utilizing the network resources in a more efficient way. This utility function quantifies the degree of utilization of resources. As a matter of fact, using the defined utility function, users' channel fluctuations and their delay constraints along with the load conditions of all BSs are all taken into consideration. Unlike previous works, we solve the problem with the general objective of maximizing the total network utility instead of maximizing the achieved utility of each base station (BS). It is shown that this problem is equivalent to finding the optimum BS assignment throughout the network, which is mapped to a multidimensional multiple-choice knapsack problem (MMKP). Since MMKP is NP-hard, a polynomial-time suboptimal algorithm is then proposed to develop an efficient base-station assignment. Simulation results indicate a significant performance improvement in terms of achieved utility and packet drop ratio.

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