Fair rate allocation, routing, and stream control scheduling in MIMO-based WMNs

M. Bansal, A. Trivedi
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引用次数: 1

Abstract

Multiple-Input Multiple-Output (MIMO) technology has great potential for improving the throughput of Wireless mesh networks (WMNs). In this paper, we investigate joint rate allocation, routing, and stream control scheduling problem in MIMO-based WMNs, where multiple antennas are exploited to increase the capacity via interference suppression (IS) and/or spatial multiplexing (SM). The notion of transmission configuration (TC) is considered and a heuristic algorithm is proposed to find a good subset of all possible TCs. Using these TCs, we present convex programming (CP) formulations to find a proportional fair rate allocation solution. The simulation results demonstrate that performance of the proposed heuristic algorithm is very near to the optimal solution. The computational complexity of the proposed heuristic algorithm is substantially less compared to the optimal solution.
基于mimo的wmn中的公平速率分配、路由和流控制调度
多输入多输出(MIMO)技术在提高无线网状网络(WMNs)的吞吐量方面具有很大的潜力。在本文中,我们研究了基于mimo的WMNs中的联合速率分配、路由和流控制调度问题,其中利用多天线通过干扰抑制(IS)和/或空间复用(SM)来增加容量。考虑了传输配置(TC)的概念,提出了一种启发式算法来寻找所有可能的传输配置的良好子集。使用这些tc,我们提出凸规划(CP)公式来找到一个比例公平的利率分配解决方案。仿真结果表明,所提启发式算法的性能非常接近最优解。与最优解相比,所提出的启发式算法的计算复杂度大大降低。
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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