TY - GEN
T1 - Optimal Beamforming for Enabling Self-Sustainable Secondary Tier in Heterogeneous Networks
AU - Xiao, Yu Rong
AU - Liu, Kuang Hao
PY - 2018/7
Y1 - 2018/7
N2 - Simultaneous wireless information and power transfer (SWIPT) is an attractive technique to provide wireless data services and energy charging at the same time. Conventionally, SWIPT is applied to one-Tier networks where a central node is deployed to serve users in the coverage. As the notion of heterogeneous network becomes emerging, it is of paramount importance to investigate effective SWIPT methods in the context of heterogeneous networks. In this work, we consider a two-Tier heterogeneous network where the primary tier performs SWIPT to feed energy to the secondary tier. As a result, the secondary tier can be self-sustainable yet the beamforming weights for data and energy flows need to be carefully designed. We explore the optimal beamforming design based on two optimization formulations including the transmission power minimization subject to the rate requirement and energy requirement, and the rate maximization subject to the maximal transmission power and the harvested energy target. Since both the formulated problems are nonconvex, we apply the semi-definite relaxation (SDR) technique to obtain the optimal solution of the convex formulation. Numerical results are presented to evaluate the performance of the proposed optimal beamforming design in comparison with some benchmark schemes.
AB - Simultaneous wireless information and power transfer (SWIPT) is an attractive technique to provide wireless data services and energy charging at the same time. Conventionally, SWIPT is applied to one-Tier networks where a central node is deployed to serve users in the coverage. As the notion of heterogeneous network becomes emerging, it is of paramount importance to investigate effective SWIPT methods in the context of heterogeneous networks. In this work, we consider a two-Tier heterogeneous network where the primary tier performs SWIPT to feed energy to the secondary tier. As a result, the secondary tier can be self-sustainable yet the beamforming weights for data and energy flows need to be carefully designed. We explore the optimal beamforming design based on two optimization formulations including the transmission power minimization subject to the rate requirement and energy requirement, and the rate maximization subject to the maximal transmission power and the harvested energy target. Since both the formulated problems are nonconvex, we apply the semi-definite relaxation (SDR) technique to obtain the optimal solution of the convex formulation. Numerical results are presented to evaluate the performance of the proposed optimal beamforming design in comparison with some benchmark schemes.
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U2 - 10.1109/Cybermatics_2018.2018.00103
DO - 10.1109/Cybermatics_2018.2018.00103
M3 - Conference contribution
T3 - Proceedings - IEEE 2018 International Congress on Cybermatics: 2018 IEEE Conferences on Internet of Things, Green Computing and Communications, Cyber, Physical and Social Computing, Smart Data, Blockchain, Computer and Information Technology, iThings/GreenCom/CPSCom/SmartData/Blockchain/CIT 2018
SP - 470
EP - 476
BT - Proceedings - IEEE 2018 International Congress on Cybermatics
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th IEEE International Congress on Conferences on Internet of Things, 14th IEEE International Conference on Green Computing and Communications, 11th IEEE International Conference on Cyber, Physical and Social Computing, 4th IEEE International Conference on Smart Data, 1st IEEE International Conference on Blockchain and 18th IEEE International Conference on Computer and Information Technology, iThings/GreenCom/CPSCom/SmartData/Blockchain/CIT 2018
Y2 - 30 July 2018 through 3 August 2018
ER -