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Distributed Inter-Network Interference Coordination for Wireless Body Area Networks

机译:无线人体局域网的分布式网络间干扰协调

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In this paper we consider the inter-network interference problem in Wireless Body Area Networks (WBANs). We propose a distributed inter-network interference aware power control algorithm motivated by game theory. A power control game is formulated considering both interference between nearby networks and energy efficiency of WBANs. We derive a distributed power control algorithm called ProActive Power Update (PAPU), which can efficiently find the Nash Equilibrium representing the best tradeoff between energy and network utility. A realistic power control procedure is proposed assuming limited cooperation between WBANs. We compare our algorithm with the ADP algorithm where users are punished for interfering with others and we show that our solution can utilize energy much more efficiently by only sacrificing a small amount of network utility. In addition, we show that by adjusting the energy price, PAPU provides a methodology for application scenarios where WBANs have different energy constraints and quality of service requirements.
机译:在本文中,我们考虑了无线体域网(WBAN)中的网络间干扰问题。我们提出了一种基于博弈论的分布式网络间干扰感知功率控制算法。考虑到附近网络之间的干扰以及WBAN的能效,制定了一种功率控制游戏。我们派生了一种称为ProActive Power Update(PAPU)的分布式电源控制算法,该算法可以有效地找到代表能量和网络公用事业之间最佳折衷的Nash均衡。提出了一个现实的功率控制程序,假设WBAN之间的协作有限。我们将我们的算法与ADP算法进行了比较,在ADP算法中,用户因干扰他人而受到惩罚,并且我们证明了我们的解决方案仅牺牲少量的网络实用程序就可以更加有效地利用能源。此外,我们表明,通过调整能源价格,PAPU为WBAN具有不同的能源约束和服务质量要求的应用场景提供了一种方法。

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