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首页> 外文会议>International Conference on ITS(Intelligent Transport Systems Standardization) Telecommunications Proceedings(ITST2006); 20060621-23; Chengdu(CN) >QGA based Bandwidth Adaptation Scheme for Wireless/Mobile Networks
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QGA based Bandwidth Adaptation Scheme for Wireless/Mobile Networks

机译：基于QGA的无线/移动网络带宽自适应方案

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摘要

Radio resource management plays a major role in QoS provisioning for wireless/mobile networks. The scarcity and fluctuation of wireless link bandwidth, as well as the interconnection of wireless networks and Internet, motivate the research on adaptive multimedia services which have already run in Internet widely. The problem of seeking the optimal solution for revenue maximization is NP-hard, so the optimal bandwidth adaptation algorithm is not practical. In this paper, we propose a QGA(quantum genetic algorithm) based bandwidth adaptation scheme to find the suboptimal solution for such problem. As a general optimization algorithm, QGA is of less searching generations, higher convergence speed, higher searching efficiency, and better global searching ability, when compared with conventional genetic algorithm. Simulation results show that our algorithm works well for such problem, and with much less optimization time compared with the optimal algorithm.
机译：无线电资源管理在无线/移动网络的QoS设置中起着重要作用。无线链路带宽的稀缺和波动，以及无线网络和Internet的互连，激发了对已经在Internet上广泛运行的自适应多媒体服务的研究。寻找收益最大化的最佳解决方案的问题是NP难的，因此最佳带宽自适应算法不切实际。在本文中，我们提出了一种基于QGA（量子遗传算法）的带宽自适应方案，以找到该问题的次优解决方案。与常规遗传算法相比，QGA作为一种通用的优化算法，具有更少的搜索代数，更高的收敛速度，更高的搜索效率和更好的全局搜索能力。仿真结果表明，该算法可以很好地解决该问题，并且与优化算法相比，优化时间更少。

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