JOURNAL ARTICLE

QoS-aware radio resource allocation for multi-cell OFDMA network

Abstract

This paper provides a new approach allocating resources between multimedia users in a multi-cell OFDMA system in order to maximize the number of users that can achieve their QoS requirements. It does this by formulating the problem as a non-cooperative game. We propose a distributed algorithm to get the Nash equilibrium (NE) as well as introducing a new performance indicator (the qualified throughput) to measure the actual throughput gained by those users whose QoS requirement is met. The proposed algorithm can achieve fast convergence and enhanced performance; it can also efficiently deal with an unbalanced user distribution as well as with a uniform one. In this paper we also validate the algorithm by using Iterative Water Filling (IWF) as a benchmark and compare it with an existing algorithm. It can offer significant advantages and successfully handle a mix of QoS requirements between users. The approach is generic but in the paper is applied to the uplink in a scenario based on IEEE802.22 Cognitive Radio.

Keywords:
Computer science Quality of service Throughput Benchmark (surveying) Resource allocation Telecommunications link Resource management (computing) Computer network Convergence (economics) Nash equilibrium Distributed computing Mathematical optimization Wireless Telecommunications

Metrics

10
Cited By
1.09
FWCI (Field Weighted Citation Impact)
12
Refs
0.82
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

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

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