Ieee Transactions on Wireless Communications, Accepted for Publication 1 Distributed Power Allocation for Coordinated Multipoint Transmissions in Distributed Antenna Systems

Ieee Transactions on Wireless Communications, Accepted for Publication 1 Distributed Power Allocation for Coordinated Multipoint Transmissions in Distributed Antenna Systems
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DOI:
10.1109/twc.2013.13.120863
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发表时间:
2013-03
影响因子:
10.4
通讯作者:
Xiujun Zhang;Yin Sun;Xiang Chen;Shidong Zhou;Jing Wang;N. Shroff
Xiujun Zhang;Yin Sun;Xiang Chen;Shidong Zhou;Jing Wang;N. Shroff
中科院分区:
计算机科学1区
文献类型:
--
作者:
Xiujun Zhang;Yin Sun;Xiang Chen;Shidong Zhou;Jing Wang;N. Shroff

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本文研究了分布式天线系统(DAS)中协调多点(CoMP)传输的分布式功率分配问题。传统的基于对偶性的优化技术不能直接应用于该问题,因为CoMP传输的可实现速率相对于传输功率的非严格凹性导致局部功率分配子问题具有非唯一的最优解。我们提出了一种分布式功率分配算法来解决这种非严格凹性困难。该算法仅需要服务同一用户的相邻基站之间进行本地信息交换,因此在网络规模和拓扑方面具有灵活性。该算法的步长参数仅由本地用户接入关系(即每个天线服务的用户数量)决定,而不依赖于信道系数。因此,该算法的收敛速度对信道衰落具有相当的鲁棒性。我们严格证明该算法收敛于功率分配问题的最优解。仿真结果证明了所提出的功率分配算法的有效性。
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.