Litcius/Paper detail

NLOS Transmission Analysis for Mobile SLIPT Using Resonant Beam

Mingqing Liu, Shuaifan Xia, Mingliang Xiong, Mengyuan Xu, Qingwen Liu, Hao Deng

2023IEEE Transactions on Wireless Communications16 citationsDOI

Abstract

Simultaneous lightwave information and power transfer (SLIPT) is a potential way to meet the demands of sustainable power supply and high-rate data transfer in next-generation networks. Although resonant beam-based SLIPT (RB-SLIPT) can realize high-power energy transfer, high-rate data transfer, human safety, and self-alignment simultaneously, mobile transmission channel (MTC) analysis under non-line-of-sight (NLOS) propagation has not been investigated. In this paper, we propose analytical models and simulation tools for reflector-assisted NLOS transmission of RB-SLIPT, where transmission loss and accurate beam field profile of NLOS MTC can be obtained with a receiver at arbitrary positions and attitude angles. We establish analytical models relying on full diffraction theory for beam propagation between tilted or off-axis planes. Then, we provide three numerical methods (i.e., NUFFT-based, cubic interpolation-based, and linear interpolation-based methods) in simulations. Moreover, to deal with the contradiction between limited computing memory and high sampling requirements for long-range transmission analysis, we propose a multi-hop sliding window approach, which can reduce the sampling number by a factor of thousands. Finally, numerical results demonstrate that RB-SLIPT can achieve 3W charging power and 10bit/s/Hz data rate over a 2m distance in NLOS scenarios.

Topics & Concepts

Non-line-of-sight propagationComputer scienceInterpolation (computer graphics)Data transmissionTransmission (telecommunications)Beam (structure)Maximum power transfer theoremLinear interpolationPower delay profileElectronic engineeringTopology (electrical circuits)Power (physics)WirelessChannel (broadcasting)OpticsTelecommunicationsPhysicsElectrical engineeringFadingDelay spreadEngineeringComputer networkArtificial intelligenceFrame (networking)Pattern recognition (psychology)Quantum mechanicsOptical Wireless Communication TechnologiesEnergy Harvesting in Wireless NetworksMillimeter-Wave Propagation and Modeling