Energy Beamforming for Wireless Power Transfer in MISO Heterogeneous Network With Power Beacon

This letter considers an energy harvesting heterogeneous network (EHHN) in which a power beacon (PB) for radio-frequency-energy transfer coexists with a base station for information transfer. In this network, a tradeoff exists between harvested energy and information rate, because the energy transfer of the PB causes the interference to the information transfer. To determine the optimal energy-transfer strategy under this tradeoff, we propose an energy beamforming scheme that maximizes the weighted sum of the harvested energy and the information rate in multiple-input single-output EHHN. Because the weighted-sum-maximization problem is nonconvex, we partition it into a difference of convex functions problem and a convex-maximization problem, and then solve them using efficient convex-based algorithms. In simulation, the proposed beamforming scheme is shown to achieve a near-optimal rate-energy region for the considered problem.

[1]  R. Enkhbat A global method for some class of optimization and control problems , 2000 .

[2]  Jie Xu,et al.  Multiuser MIMO Wireless Energy Transfer With Coexisting Opportunistic Communication , 2015, IEEE Wireless Communications Letters.

[3]  Yue Shi,et al.  A modified particle swarm optimizer , 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).

[4]  Rui Zhang,et al.  MIMO Broadcasting for Simultaneous Wireless Information and Power Transfer , 2011, IEEE Transactions on Wireless Communications.

[5]  Bruno Clerckx,et al.  Joint Beamforming Design for Multi-User Wireless Information and Power Transfer , 2014, IEEE Transactions on Wireless Communications.

[6]  Kaibin Huang,et al.  Enabling Wireless Power Transfer in Cellular Networks: Architecture, Modeling and Deployment , 2012, IEEE Transactions on Wireless Communications.

[7]  Daeyoung Park,et al.  Rate-Energy Region of Joint Information and Energy Transfer in a Two-User MIMO Interference Channel , 2015, IEEE Communications Letters.

[8]  Rui Zhang,et al.  Placement Optimization of Energy and Information Access Points in Wireless Powered Communication Networks , 2015, IEEE Transactions on Wireless Communications.

[9]  Kaibin Huang,et al.  Analog Spatial Cancellation for Tackling the Near-Far Problem in Wirelessly Powered Communications , 2015, IEEE Journal on Selected Areas in Communications.

[10]  Branka Vucetic,et al.  Distributed and Optimal Resource Allocation for Power Beacon-Assisted Wireless-Powered Communications , 2015, IEEE Transactions on Communications.

[11]  Bruno Clerckx,et al.  Joint Wireless Information and Energy Transfer in a $K$-User MIMO Interference Channel , 2014, IEEE Transactions on Wireless Communications.

[12]  Jie Xu,et al.  Multiuser MISO Beamforming for Simultaneous Wireless Information and Power Transfer , 2013, IEEE Transactions on Signal Processing.

[13]  Liang Zheng,et al.  Maximizing Sum Rates in Cognitive Radio Networks: Convex Relaxation and Global Optimization Algorithms , 2014, IEEE Journal on Selected Areas in Communications.