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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.

Citations to this Article [1 citation]

The following is the list of published articles that have cited the current article.

  • Alessandro Grassi, Giuseppe Piro, Giacomo Bacci, and Gennaro Boggia, “Uplink Resource Management in 5G: When a Distributed and Energy-Efficient Solution Meets Power and QoS Constraints,” IEEE Transactions on Vehicular Technology, vol. 66, no. 6, pp. 5176–5189, 2017. View at Publisher ยท View at Google Scholar