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Distributed Uplink Power Control in Multiservice Wireless Networks via a Game Theoretic Approach with Convex Pricing

机译:通过具有凸定价的博弈论方法在多业务无线网络中进行分布式上行链路功率控制

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In this paper, the problem of efficient distributed power control via convex pricing of users' transmission power in the uplink of CDMA wireless networks supporting multiple services is addressed. Each user is associated with a nested utility function, which appropriately represents his degree of satisfaction in relation to the expected trade-off between his QoS-aware actual uplink throughput performance and the corresponding power consumption. Initially, a Multiservice Uplink Power Control game (MSUPC) is formulated, where each user aims selfishly at maximizing his utility-based performance under the imposed physical limitations and its unique Nash equilibrium point is determined. Then the inefficiency of MSUPC game's Nash equilibrium is proven and a usage-based convex pricing policy of the transmission power is introduced, which offers a more effective approach compared to the linear pricing schemes that have been adopted in the literature. Consequently, a Multiservice Uplink Power Control game with Convex Pricing (MSUPC-CP) is formulated and its unique Pareto optimal Nash equilibrium is determined. A distributed iterative algorithm for computing MSUPC-CP game's equilibrium is proposed, while the overall approach's efficiency is illustrated via modeling and simulation.
机译:在本文中,解决了在支持多种服务的CDMA无线网络的上行链路中,通过用户传输功率的凸定价来有效控制分布式功率的问题。每个用户都与一个嵌套的效用函数相关联,该函数可以恰当地表示其对QoS感知的实际上行链路吞吐量性能与相应功耗之间的期望权衡的满意程度。最初,制定了一个多服务上行链路功率控制游戏(MSUPC),其中每个用户自私地致力于在强加的物理限制下最大化其基于公用事业的性能,并确定其唯一的纳什平衡点。然后证明了MSUPC游戏Nash均衡的效率低下,并引入了基于使用量的传输功率凸定价策略,这与文献中采用的线性定价方案相比,提供了一种更有效的方法。因此,制定了具有凸定价的多服务上行链路功率控制游戏(MSUPC-CP),并确定了其独特的帕累托最优纳什均衡。提出了一种计算MSUPC-CP游戏均衡的分布式迭代算法,并通过建模和仿真说明了整体方法的效率。

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