Energy efficiency optimization in MIMO heterogeneous wireless powered communication networks

Tien Ngoc Ha (), Ha Hoang Kha () and Hung Quang Ta ()
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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

Telecommunication Systems: Modelling, Analysis, Design and Management, 2020, vol. 75, issue 1, No 7, 97-107

Abstract: 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.

Keywords: Energy efficiency; MIMO HetNet; WPCN; Precoding design (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s11235-020-00682-w

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