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Distributed energy-efficient power optimization in two-tier femtocell networks

机译:两层毫微微小区网络中的分布式节能电源优化

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A major challenge in the two-tier femtocell networks-comprised of a central macrocell underlaid with femtocells is the efficient use of radio resources. Power optimization technique is one important component of radio resource management, since the deployment of femtocells may cause serious cross-tier interference and consume large amounts of energy. This paper presents an energy-efficient power control solution for interference-limited two-tier femtocell networks in the analytical setting of a game theoretic framework, where both circuit and transmission powers have been considered. First, we investigate a non-cooperative power control game for two-tier spectrumsharing femtocell networks. In order to guarantee that cellular user can obtain its Signal-to-Interference-Pius-Noise Ratio(SINR) target, then we propose an algorithm that reduces transmission powers of the strongest femtocell interferers. According to simulation results, the proposed scheme can improve energy efficiency of femtocell networks and mitigate cross-tier interference significantly.
机译:在由毫微微小区覆盖的中央宏小区组成的两层毫微微小区网络中的主要挑战是有效利用无线电资源。功率优化技术是无线电资源管理的重要组成部分,因为毫微微小区的部署可能会导致严重的跨层干扰并消耗大量能量。本文在博弈论框架的分析环境中提出了一种针对干扰受限的两层毫微微小区网络的节能型功率控制解决方案,该模型考虑了电路和传输功率。首先,我们研究了两层频谱共享毫微微小区网络的非合作功率控制游戏。为了保证蜂窝用户可以获得其信噪比(SINR)目标,我们提出了一种降低最强毫微微小区干扰源发射功率的算法。根据仿真结果,所提出的方案可以提高毫微微小区网络的能量效率并显着减轻跨层干扰。

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