JOURNAL ARTICLE

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

Mahdi ShabanyKeivan NavaieE.S. Sousa

Year: 2007 Journal:   EURASIP Journal on Wireless Communications and Networking Vol: 2007 (1)   Publisher: Springer Nature

Abstract

Abstract\n 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.

Keywords:
Computer science Knapsack problem Telecommunications link Base station Cellular network Resource allocation Mathematical optimization Network packet Code division multiple access Computer network Channel (broadcasting) Algorithm Mathematics

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3
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0.31
FWCI (Field Weighted Citation Impact)
27
Refs
0.64
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Citation History

Topics

Advanced Wireless Network Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Wireless Communication Networks Research
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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