TY - GEN
T1 - Energy efficiency optimization for multi-user MISO swipt systems
AU - Peng, Cheng
AU - Shi, Qingjiang
AU - Xu, Weiqiang
AU - Hong, Mingyi
N1 - Publisher Copyright:
© 2015 IEEE.
Copyright:
Copyright 2016 Elsevier B.V., All rights reserved.
PY - 2015/8/31
Y1 - 2015/8/31
N2 - This paper considers a power splitting based multi-user multiple-input-single-output (MISO) downlink system with simultaneous wireless information and power transfer. Assuming that the most common zero-forcing (ZF) beam-forming scheme is employed by the base station, we aim to maximize the system energy efficiency in bits per Joule by joint beamforming and power splitting (PS) under both the signal-To-interference-plus-noise ratio constraints and energy harvesting constraints. The energy efficiency optimization (EEO) problem is nonconvex and very hard to solve. In this paper, by exploiting the problem structure, we first simplify the EEO problem to a joint transmit power allocation and receive power splitting problem. Then, with a tactful reformulation, we propose a Lagrangian relaxation (LR) method coupled with Dinkelbach method to address the simplified EEO problem. It is proven that the proposed LR method can guarantee at least a feasible solution, which is a notable advantage over the existing methods. Finally, numerical results validate the excellent efficiency of the proposed algorithms.
AB - This paper considers a power splitting based multi-user multiple-input-single-output (MISO) downlink system with simultaneous wireless information and power transfer. Assuming that the most common zero-forcing (ZF) beam-forming scheme is employed by the base station, we aim to maximize the system energy efficiency in bits per Joule by joint beamforming and power splitting (PS) under both the signal-To-interference-plus-noise ratio constraints and energy harvesting constraints. The energy efficiency optimization (EEO) problem is nonconvex and very hard to solve. In this paper, by exploiting the problem structure, we first simplify the EEO problem to a joint transmit power allocation and receive power splitting problem. Then, with a tactful reformulation, we propose a Lagrangian relaxation (LR) method coupled with Dinkelbach method to address the simplified EEO problem. It is proven that the proposed LR method can guarantee at least a feasible solution, which is a notable advantage over the existing methods. Finally, numerical results validate the excellent efficiency of the proposed algorithms.
KW - Dinkelbach method
KW - Lagrangian relaxation method
KW - Multi-user MISO
KW - power splitting
KW - wireless information and power transfer
KW - zero-forcing beamforming
UR - http://www.scopus.com/inward/record.url?scp=84957604114&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84957604114&partnerID=8YFLogxK
U2 - 10.1109/ChinaSIP.2015.7230509
DO - 10.1109/ChinaSIP.2015.7230509
M3 - Conference contribution
AN - SCOPUS:84957604114
T3 - 2015 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2015 - Proceedings
SP - 772
EP - 776
BT - 2015 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2015 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2015
Y2 - 12 July 2015 through 15 July 2015
ER -
