Hybrid Beamforming Design In Millimeter-wave Simultaneaous Wireless Information And Power Transfer System

Bandwidth shortage and limited energy supply for user terminals are two main challenges in communication networks.Millimeter-wave(mmWave)pro-vides rich spectrum.Simultaneous wireless information and power transfer(S WIPT)technology can provide sustainable energy supply.Therefore,mm Wave SWIPT system is able to solve the aforementioned problems.We aim to min-imize system consumption and maximize energy efficiency(EE)in mm Wave SWIPT system by joint design of hybrid beamforming and power splitting(PS).Firstly,we investigate recent contributions on mm Wave SWIPT.We re-viewed recent studies from standpoints of theory analysis,system design,dy-namic optimisation based on obj ectives and beamforming design.Related stud-ies prove that mm Wave technology enlarges rate-energy region in SWIPT sys-tems.Therefore,we study j oint hybrid beamforming and PS design in mm Wave SWIPT systems,which has not been studied.Then,we study total power consumption minimisation problem in mm Wave system.A joint hybrid beamforming and PS design problem under information decoding(ID)and energy harvesting(EH)constraints is formulated.We pro-pose a two-stage algorithm to solve the problem.In the first stage,the optimal beamformer and PS ratios are obtained under ID and EH constraints.In the second stage,the optimal beamformer is approximated with the product of ana-log beamformer and digital beamformer.The solving process is summarized as joint hybrid beamforming and power splitting(JHBPS)algorithm.Simulation results proved that proposed algorithm decreased total power consumption.Finally,an EE maximisation problem is studied.The problem is formu-lated as a user selection,hybrid beamforming and PS joint design problem with limited total power consumption.The solving process is divided into two stages.In the first stage,the biggest accessible user set is acquired under con-straints.In the second stage,EE is maximised with a iterative algorithm.A joint hybrid beamforming and user selection(JHBUS)design algorithm is proposed to solve the problem,which increases energy efficiency.