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An Optimal Power Control Algorithm for STDMA MAC Protocols in Multihop Wireless Networks

机译:多跳无线网络中STDMA MAC协议的最佳功率控制算法

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Multihop spatial time division multiple access (STDMA) medium access control (MAC) protocols constitute an important building block of wireless networks. There are not many practical power control algorithms that can optimally tradeoff power consumption against transmission rates with a reasonable computational complexity. In this paper, we introduce an energy-efficient distributed power control algorithm for STDMA MAC protocols. The motivation for this study is two fold, namely, maximizing the spatial reuse of the system resources and maximizing power efficiency. We develop a mathematical formulation for maximizing spatial reuse and power efficiency under discrete SINR and rate constrains. After proving that power is a convex function of data rates in our problem, we demonstrate that our problem in simultaneous transmission environments can be reduced to a linear programming (LP) problem. Then, we solve this LP problem using dynamic programming (DP). Finally, based on our proposed solution, we propose a low complexity optimal power control (OPC) algorithm which can be generically embedded within any existing STDMA MAC protocol. Through analytical and experimental studies, we show that our power control algorithm cannot only significantly improve the throughput, power consumption, and delay performance of STDMA MAC protocols compared to their baseline alternatives, but also outperform existing STDMA algorithms.
机译:多跳空时分多址(STDMA)中级访问控制(MAC)协议构成了无线网络的重要组成部分。没有许多实用的功率控制算法可以以合理的计算复杂度来最佳地权衡功耗与传输速率。在本文中,我们介绍了一种用于STDMA MAC协议的节能分布式功率控制算法。这项研究的动机有两个方面,即最大化系统资源的空间重用性和最大化电源效率。我们开发了一种数学公式,可在离散SINR和速率约束下最大限度地提高空间复用率和功率效率。在证明功率是问题中数据速率的凸函数之后,我们证明了同时传输环境中的问题可以简化为线性编程(LP)问题。然后,我们使用动态编程(DP)解决此LP问题。最后,基于我们提出的解决方案,我们提出了一种低复杂度的最佳功率控制(OPC)算法,该算法可以通用地嵌入任何现有的STDMA MAC协议中。通过分析和实验研究,我们表明,与基线替代方案相比,我们的功率控制算法不仅可以显着提高STDMA MAC协议的吞吐量,功耗和延迟性能,而且性能还优于现有的STDMA算法。

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