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Telecommunication Systems

Energy efficiency optimization in MIMO heterogeneous wireless powered communication networks

  • 15-06-2020
Published in:
Authors
Tien Ngoc Ha
Ha Hoang Kha
Hung Quang Ta
Published in
Telecommunication Systems | Issue 1/2020

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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.

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Title
Energy efficiency optimization in MIMO heterogeneous wireless powered communication networks
Authors
Tien Ngoc Ha
Ha Hoang Kha
Hung Quang Ta
Publication date
15-06-2020
Publisher
Springer US
Published in
Telecommunication Systems / Issue 1/2020
Print ISSN: 1018-4864
Electronic ISSN: 1572-9451
DOI
https://doi.org/10.1007/s11235-020-00682-w
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