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Automatic channel choice for access points

机译:接入点的自动通道选择

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摘要

The automatic configuration of Access Points (APs) is a new subject, since the Wi-Fi technology, which underlies hotspots by a wireless local area network, appears on the world market in 2001. The first market relevance has been in 2002. APs channel assignment at hotspots, and more generally APs configuration and management, has to be done manually, except for very recent APs. In this paper, we intend to partially solve the problem of automatic APs management. The goal to achieve is to have an autonomous system able to perform dynamic channel allocation of WLAN APs, in the context of multiple APs in a restricted area. Moreover, the solution has to be independent from sellers (manufacturers) or owners (generally service providers). Given a set of APs located nearby each other, the problem to be solved consists in assigning a channel to each AP such that the overall throughput is maximized, or, in other words, such that the overall perturbation is minimized. Moreover, the system has to adapt himself to dynamic variations of the environment, such as the number of associated users, the usage of the APs, and so on. The solution developed in this paper uses a distributed algorithm to solve the problem. One software agent manages one AP and is able to communicate with its neighbors in order to optimize the global throughput. Tests with different topologies have been done by simulation, as well as some real implementation. These experiments have given good results, even when networks get very dense and have many APs. Comparison with optimal solution on small networks has shown that the performance of the algorithm described in this paper is very close to the optimum.
机译:接入点(AP)的自动配置是一个新的课题,因为以无线局域网为基础的Wi-Fi技术于2001年出现在世界市场上。第一个与市场有关的时间是2002年。除了最近的AP以外,必须手动完成热点的分配,更通常的是AP的配置和管理。在本文中,我们打算部分解决自动AP管理的问题。要实现的目标是拥有一个自治系统,能够在受限区域中的多个AP的情况下执行WLAN AP的动态信道分配。此外,解决方案必须独立于卖方(制造商)或所有者(通常是服务提供商)。在给定一组彼此相邻的AP的情况下,要解决的问题在于为每个AP分配信道,以使总吞吐量最大化,或者换句话说,使总扰动最小。此外,系统必须适应环境的动态变化,例如关联用户的数量,AP的使用等等。本文开发的解决方案使用分布式算法来解决该问题。一个软件代理管理一个AP,并能够与其邻居通信,以优化全局吞吐量。通过仿真以及一些实际实现,已经完成了具有不同拓扑的测试。即使网络变得非常密集且具有许多AP,这些实验也取得了良好的结果。在小型网络上与最优解的比较表明,本文所述算法的性能非常接近最优。

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