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International Journal of Antennas and Propagation
Volume 2015, Article ID 873134, 9 pages
http://dx.doi.org/10.1155/2015/873134
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 [3 citations]

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

  • Lucas Dias Hiera Sampaio, Taufik Abrao, and Fabio Renan Durand, “Game Theory Based Resource Allocation in Multi-Cell Massive MIMO OFDMA Networks,” 2017 IEEE Wireless Communications and Networking Conference (WCNC), pp. 1–6, . View at Publisher · View at Google Scholar
  • 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 · View at Google Scholar
  • Pengge Ma, Rui Zhao, Yongming Huang, Kaizhi Huang, Bing Wang, Yi Wang, Chunguo Li, and Jun Zhu, “Near-Optimal Pilot Signal Design for FDD Massive MIMO System: An Energy-Efficient Perspective,” IEEE Access, 2018. View at Publisher · View at Google Scholar