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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Xinhua Wang & Yan Yang & Jinlu Sheng, 2017. "Energy Efficient Power Allocation for the Uplink of Distributed Massive MIMO Systems," Future Internet, MDPI, vol. 9(2), pages 1-11, June.
  • Handle: RePEc:gam:jftint:v:9:y:2017:i:2:p:21-:d:100944
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    Cited by:

    1. Georgios Katsinis & Eirini Eleni Tsiropoulou & Symeon Papavassiliou, 2017. "Multicell Interference Management in Device to Device Underlay Cellular Networks," Future Internet, MDPI, vol. 9(3), pages 1-20, August.

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