Power Allocation for Energy Efficiency Optimization in Distributed Antenna Systems

Zijian Wang, L. Vandendorpe
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Abstract

An energy efficiency (EE) maximization problem with multiple distributed antennas is considered in this paper. Besides the constraint on the total transmit power and per-antenna transmit power constraints, an additional constraint dealing with total weighted power is introduced. Moreover, a Quality-of-Service (QoS) constraint is introduced. Because the original problem is a fractional convex one, Dinkelbach's algorithm is implemented to reformulate the problem. By investigating the Karush- Kuhn- Tucker (KKT) conditions, the mathematical properties of the globally optimal solution are studied and proved, which provides a deeper understanding of the structure of power allocation among antennas. Numerical results demonstrate the effect of QoS on EE and also the structure of power allocation.
分布式天线系统能量效率优化的功率分配
本文研究了一种具有多个分布式天线的能量效率最大化问题。除了对总发射功率的约束和对每天线发射功率的约束外,还引入了对总加权功率的约束。此外,还引入了服务质量(QoS)约束。由于原问题是分数阶凸问题,采用Dinkelbach算法对问题进行了重新表述。通过研究Karush- Kuhn- Tucker (KKT)条件,研究并证明了全局最优解的数学性质,从而对天线间功率分配结构有了更深入的了解。数值结果显示了QoS对EE的影响以及功率分配结构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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