JOURNAL ARTICLE

A low complexity resource allocation algorithm for OFDMA systems

Can TurguCenk Toker

Year: 2009 Journal:   2009 IEEE/SP 15th Workshop on Statistical Signal Processing Vol: 2 Pages: 689-692

Abstract

In a multiuser system, the users can share the common channel using the OFDMA (orthogonal frequency division multiple access) technique. In this scenario, the issue of allocating the shared channel resources (subcarrier and power) among the users is called the resource allocation problem. This problem, which is nonlinear due to its nature, also has a discrete structure. In this paper, a fast algorithm based on linear programming is proposed. The algorithm is composed of two phases. In the first one, the original integer programming problem is first linearized and then after relaxing the integer constraints a solution is obtained by the aid of the simplex algorithm. In the second phase, by exploiting the sub-carrier allocation obtained in first phase, bits are allocated to each user independently using the greedy algorithm. The simulation results have demonstrated that, the proposed algorithm can achieve a performance very close to that of the integer programming techniques while being significantly faster. Computational complexity analysis of the algorithm revealed that it can be implemented real-time on a standard microprocessor/DSP.

Keywords:
Subcarrier Computer science Orthogonal frequency-division multiple access Resource allocation Simplex algorithm Greedy algorithm Integer programming Orthogonal frequency-division multiplexing Algorithm Computational complexity theory Channel allocation schemes Mathematical optimization Frequency-division multiple access Linear programming Channel (broadcasting) Mathematics Wireless Telecommunications Computer network

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6
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0.53
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13
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0.70
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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
Advanced Wireless Communication Techniques
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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