Optimal client association, airtime sharing and contention resolution in throughput fair multi-cell WLANs with hidden APs

Jun Zhang, Jason Min Wang, Ying Wang, B. Bensaou
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Abstract

In this paper we study the problem of client association, airtime sharing and contention resolution in a multi-cell WLAN to achieve fair download bandwidth sharing. We first model the problem as a utility maximization problem, then, because of the integral nature of association, the problem being NP-hard, we decompose it into two sub-problems: the client association problem on one hand, and the joint airtime sharing and contention resolution problem on the other. We show that, for each fixed association pattern, the corresponding joint airtime sharing and contention resolution problem can be solved in polynomial time. To solve the client association problem, we propose the so-called Swap localized algorithm. The Swap procedure iteratively swaps clients between pairs of neighbour access points (APs) if the swap leads to an improvement in the global utility. Simulation results show that, the proposed algorithm is significantly better than RSSI-based heuristic, and quickly leads to a near-optimal solution.
具有隐藏ap的吞吐量公平多小区无线局域网中最优客户端关联、无线时间共享和争用解决
为了实现公平的下载带宽共享,本文研究了多小区无线局域网中的客户端关联、分时共享和争用解决问题。我们首先将该问题建模为效用最大化问题,然后,由于关联的整体性,该问题是np困难的,我们将其分解为两个子问题:客户端关联问题,以及联合广播时间共享和争用解决问题。我们证明,对于每个固定的关联模式,相应的联合空域共享和争用解决问题可以在多项式时间内解决。为了解决客户端关联问题,我们提出了Swap本地化算法。如果交换导致全局实用程序的改进,那么Swap过程将在邻居接入点(ap)对之间迭代地交换客户端。仿真结果表明,该算法明显优于基于rssi的启发式算法,能快速得到接近最优解。
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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