计算机科学
分布式算法
传输(电信)
数学优化
趋同(经济学)
分布式电源
网络拓扑
基站
频道(广播)
衰退
分布式天线系统
功率(物理)
对偶(序理论)
最优化问题
拓扑(电路)
算法
分布式计算
计算机网络
电信
数学
物理
离散数学
经济
组合数学
量子力学
经济增长
作者
Xiujun Zhang,Yin Sun,Xiang Chen,Shidong Zhou,Jing Wang,Ness B. Shroff
标识
DOI:10.1109/twc.2013.040213.120863
摘要
This paper investigates the distributed power allocation problem for coordinated multipoint (CoMP) transmissions in distributed antenna systems (DAS). Traditional duality-based optimization techniques cannot be directly applied to this problem, because the non-strict concavity of the CoMP transmission's achievable rate with respect to the transmission power induces that the local power allocation subproblems have non-unique optimum solutions. We propose a distributed power allocation algorithm to resolve this non-strict concavity difficulty. This algorithm only requires local information exchange among neighboring base stations serving the same user, and is thus flexible with respect to network size and topology. The step-size parameters of this algorithm are determined by only local user access relationship (i.e., the number of users served by each antenna), but do not rely on channel coefficients. Therefore, the convergence speed of this algorithm is quite robust to channel fading. We rigorously prove that this algorithm converges to an optimum solution of the power allocation problem. Simulation results are presented to demonstrate the effectiveness of the proposed power allocation algorithm.
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