Optimizing power consumption in distributed antenna systems with large-scale CSIT
WANG Jing1, WANG Yanmin2, FENG Wei1, XIAO Limin1, ZHOU Shidong1
1. Department of Electronic Engineering, Tsinghua University, Beijing 100084, China;
2. Academy of Electronics and Information Technology, China Electronics Technology Group Corporation, Beijing 100041, China
Abstract：The power consumption in distributed antenna systems (DAS) is reduced for green mobile communications by optimizing the total power consumption in downlink DAS with only large-scale channel state information at the transmitter (CSIT) using a practical power consumption model including both the transmission power and the circuit power. The scheme combines transmit antenna selection and power allocation, decomposes the original problem into a series of sub-problems, each of which can be solved by efficient algorithms. The result is a low-complexity joint ordering selection and power allocation algorithm. Simulations show that the total power consumption is reduced considerably by this algorithm while satisfying the ergodic capacity requirements of the users. Thus, this scheme provides practical performance enhancement for DAS with low system overhead.
王璟, 王燕敏, 冯伟, 肖立民, 周世东. 分布式天线系统中基于大尺度信道信息的功耗优化[J]. 清华大学学报（自然科学版）, 2016, 56(7): 696-699,706.
WANG Jing, WANG Yanmin, FENG Wei, XIAO Limin, ZHOU Shidong. Optimizing power consumption in distributed antenna systems with large-scale CSIT. Journal of Tsinghua University(Science and Technology), 2016, 56(7): 696-699,706.
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