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Proceedings Paper

Genetic algorithm approach for adaptive power and subcarrier allocation in multi-user OFDM systems
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Paper Abstract

In this paper, a novel genetic algorithm application is proposed for adaptive power and subcarrier allocation in multi-user Orthogonal Frequency Division Multiplexing (OFDM) systems. To test the application, a simple genetic algorithm was implemented in MATLAB language. With the goal of minimizing the overall transmit power while ensuring the fulfillment of each user's rate and bit error rate (BER) requirements, the proposed algorithm acquires the needed allocation through genetic search. The simulations were tested for BER 0.1 to 0.00001, data rate of 256 bit per OFDM block and chromosome length of 128. The results show that genetic algorithm outperforms the results in [3] in subcarrier allocation. The convergence of GA model with 8 users and 128 subcarriers performs better in power requirement compared to that in [4] but converges more slowly.

Paper Details

Date Published: 30 April 2007
PDF: 10 pages
Proc. SPIE 6560, Intelligent Computing: Theory and Applications V, 65600K (30 April 2007); doi: 10.1117/12.717940
Show Author Affiliations
Y. B. Reddy, Grambling State Univ. (United States)
Mort Naraghi-Pour, Louisiana State Univ. (United States)

Published in SPIE Proceedings Vol. 6560:
Intelligent Computing: Theory and Applications V
Kevin L. Priddy; Emre Ertin, Editor(s)

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