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A Distributed Power Control Algorithm for Energy Efficiency Maximization in Wireless Cellular Networks
arXiv - CS - Networking and Internet Architecture Pub Date : 2020-09-07 , DOI: arxiv-2009.03433
Rojin Aslani and Mehdi Rasti

In this paper, we propose a distributed power control algorithm for addressing the global energy efficiency (GEE) maximization problem subject to satisfying a minimum target SINR for all user equipments (UEs) in wireless cellular networks. We state the problem as a multi-objective optimization problem which targets minimizing total power consumption and maximizing total throughput, simultaneously, while a minimum target SINR is guaranteed for all UEs. We propose an iterative scheme executed in the UEs to control their transmit power using individual channel state information (CSI) such that the GEE is maximized in a distributed manner. We prove the convergence of the proposed iterative algorithm to its corresponding unique fixed point also shown by our numerical results. Additionally, simulation results demonstrate that our proposed scheme outperforms other algorithms in the literature and performs like the centralized algorithm executed in the base station and maximizes the GEE using the global CSI.

中文翻译:

一种无线蜂窝网络能效最大化的分布式功率控制算法

在本文中,我们提出了一种分布式功率控制算法,用于解决全局能效 (GEE) 最大化问题,以满足无线蜂窝网络中所有用户设备 (UE) 的最小目标 SINR。我们将该问题表述为一个多目标优化问题,其目标是同时最小化总功耗和最大化总吞吐量,同时保证所有 UE 的最小目标 SINR。我们提出了一种在 UE 中执行的迭代方案,以使用单独的信道状态信息 (CSI) 来控制它们的发射功率,从而以分布式方式最大化 GEE。我们证明了所提出的迭代算法收敛到其相应的唯一不动点也由我们的数值结果显示。此外,
更新日期:2020-09-09
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