Energy Efficient Power Allocation for the Uplink of Distributed Massive MIMO Systems

Xinhua Wang, Yan Yang and Jinlu Sheng
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Xinhua Wang: College of Automation and Electrical Engineering, Qingdao University, Qingdao 266071, China
Yan Yang: College of Automation and Electrical Engineering, Qingdao University, Qingdao 266071, China
Jinlu Sheng: College of Traffic and Transportation, Chongqing Jiaotong University, Chongqing 400074, China

Future Internet, 2017, vol. 9, issue 2, 1-11

Abstract: In this paper, an energy efficient power allocation scheme is proposed for a distributed massive multiple-input multiple-output (MIMO) system with a circular antenna array. Single-antenna users simultaneously transmit signal to the base station (BS) with a large number of distributed antennas. The tight approximation of the energy efficiency (EE) is derived in closed form expressions. Through jointly optimizing the power allocation and the antenna number of BS, an NP-hard problem is formulated to maximize the EE. The equal power allocation is proved to be optimal given the total transmit power and the number of antennas. Finally, the optimal antenna number is determined by one dimension search. It is noteworthy that the NP-hard problem is solved by one dimension search. Simulation results validate the accuracy and the low-complexity of our proposed scheme.

Keywords: distributed antenna systems; energy efficiency; lambert-W function; massive MIMO; power allocation; spectrum efficiency (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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