On the implementation of ant colony optimization scheme for improved channel allocation in wireless communications

P. Papazoglou, Dimitrios Alexios Karras, R. C. Papademetriou
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引用次数: 9

Abstract

Channel allocation in wireless communication systems is one of the fundamental issues. The corresponding allocation schemes can not be static due to the dynamically changing traffic conditions and network performance. Thus, more sophisticated strategies adapted to current network conditions must be investigated and applied. Recently, various approaches have been proposed for channel allocation based on intelligent techniques such as multi-agent technology and genetic algorithms. These approaches constitute heuristic solutions to resource management problem. On the other hand, the ant colony optimization approach has been proposed for solving optimization problems but this approach has not been proposed so far for solving the channel allocation problem in wireless communication systems. In this paper, a comprehensive heuristic approach for solving the channel allocation problem based on intelligent techniques such as multi-agents and ant colony optimization is proposed. Moreover, important implementation issues such as thread execution sequence are also presented. Finally, the simulation results show the performance improvement of the proposed ant colony optimization algorithm as well as the multi-agent modeling approach.
改进无线通信信道分配的蚁群优化方案的实现
信道分配是无线通信系统的基本问题之一。由于流量状况和网络性能的动态变化,相应的分配方案不能是静态的。因此,必须研究和应用适应当前网络条件的更复杂的策略。近年来,基于多智能体技术和遗传算法等智能技术提出了多种信道分配方法。这些方法构成了资源管理问题的启发式解决方案。另一方面,已经提出了蚁群优化方法来解决优化问题,但目前还没有提出该方法来解决无线通信系统中的信道分配问题。本文提出了一种基于多智能体和蚁群优化等智能技术的综合启发式信道分配方法。此外,还提出了线程执行顺序等重要的实现问题。最后,仿真结果表明了所提出的蚁群优化算法和多智能体建模方法的性能改进。
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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