Adaptive Resource Allocation Algorithm for OFDMA System Based on Ant Colony Algorithm

Bin Pu
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Abstract

This paper has proposed adaptive resources allocative decisions in OFDMA system based on Ant Colony Algorithms.The problem was modeled as finding a minimum cost path in a graph. The antssolution construction was guided by pheromone trail and heuristic information.Due to the unique heuristic searching mechanism of the ant colony algorithm,the proposed algorithm is guaranteed to converge quickly tto an approximately optimal solution.Simulation results show that the performance of the proposed algorithm is close to the optimal solution ,and gains 1-2dB in comparison with the fixed allocation scheme.
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基于蚁群算法的OFDMA系统自适应资源分配算法
提出了基于蚁群算法的OFDMA系统自适应资源分配决策方法。该问题被建模为在图中寻找最小代价路径。蚁群构建采用信息素线索和启发式信息引导。由于蚁群算法独特的启发式搜索机制,保证了算法快速收敛到近似最优解。仿真结果表明,该算法性能接近最优解,比固定分配方案增益1 ~ 2db。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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