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Energy efficiency optimization in MIMO heterogeneous wireless powered communication networks

Author

Listed:
  • Tien Ngoc Ha

    (Ho Chi Minh City University of Technology, VNU-HCM)

  • Ha Hoang Kha

    (Ho Chi Minh City University of Technology, VNU-HCM)

  • Hung Quang Ta

    (Hanoi University)

Abstract

This paper studies the energy efficiency (EE) optimization problem in multiple-user multiple-input–multiple-output heterogeneous wireless powered communication network (HWPCN) in which the users in small cells can harvest energy from the small cell base stations in downlink and use harvested energy for uplink transmission. We consider the joint design problem of wireless energy transmission and wireless information transmission precoding matrices subject to the transmit power constraints at each BS and each user. Since the optimization problem under consideration is highly nonlinear non-convex fractional programming in design variables, it is mathematically challenging to obtain the optimal solutions. To tackle with this difficulty, we employ the difference of convex programming to obtain the concave lower bound of the achievable sum rates. Then, we apply the Dinkelbach approach to develop an efficient iterative algorithm in which the convex optimization problems are solved. Simulation results are provided to investigate the EE of the proposed algorithm in HWPCNs.

Suggested Citation

  • Tien Ngoc Ha & Ha Hoang Kha & Hung Quang Ta, 2020. "Energy efficiency optimization in MIMO heterogeneous wireless powered communication networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 75(1), pages 97-107, September.
    • Handle: RePEc:spr:telsys:v:75:y:2020:i:1:d:10.1007_s11235-020-00682-w
    DOI: 10.1007/s11235-020-00682-w
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    Cited by:

    1. Mingfu Li & Ching-Chieh Fang & Huei-Wen Ferng, 2022. "Stability and performance analysis of wireless powered communication networks," Journal of Risk and Reliability, , vol. 236(3), pages 439-450, June.

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