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International Journal of Antennas and Propagation
Volume 2015, Article ID 873134, 9 pages
Research Article

Energy-Efficient Resource Allocation in Uplink Multiuser Massive MIMO Systems

1School of Information Science and Engineering, Southeast University, Nanjing 210096, China
2Institute of Electronics and Information, Jiangsu University of Science and Technology, Zhenjiang, China
3Information Engineering College, Henan University of Science and Technology, Luoyang, China
4State Key Laboratory of Millimeter Waves, Southeast University, Nanjing 210096, China

Received 15 July 2014; Revised 7 November 2014; Accepted 12 November 2014

Academic Editor: Xiang Cheng

Copyright © 2015 Ying Hu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Energy-efficient communications, namely, green communications, has attracted increasing attention due to energy shortage and greenhouse effect. Motivated by this, we consider the uplink energy-efficient resource allocation in multiuser massive multiple-input multiple-output (MIMO) systems. Specifically, we consider that both the number of antenna arrays at the base station (BS) and the transmit data rate at UE are adjusted adaptively to maximize the energy efficiency. Firstly, we demonstrate the existence of a unique resource allocation solution that is globally optimal by exploiting the properties of objective function. Then we develop an iterative algorithm to solve it. By transforming the originally fractional optimization problem into an equivalent subtractive form using the properties of fractional programming, we develop another efficient iterative resource allocation algorithm. Simulation results have validated the effectiveness of the proposed two algorithms and have shown that both algorithms can fast converge to a near-optimal solution in a small number of iterations.