2020/05/13 by Guangxia Li, Li, Guangxia, Xiao Lu +3
Computer Science · Engineering · #Advanced MIMO Systems Optimization #Energy Harvesting in Wireless Networks #FOS: Computer and information sciences #FOS: Electrical engineering #Networking and Internet Architecture (cs.NI) #Signal Processing (eess.SP) #Wireless Power Transfer Systems #cs.NI #eess.SP #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2005.06629
IEEE TVT
arxiv created 2020/05/13 · openalex publication_date 2020/05/13 · arxiv updated 2020/05/15 · openalex created_date 2020/05/21 · openalex updated_date 2026/07/28
Backscattering assisted wireless-powered communication combines ultralow-power backscatter transmitters with energy harvesting devices. This paper investigates the transmission mode selection problem of a hybrid relay that forwards data by switching between the active wireless-powered transmission and the passive ambient backscattering. It first presents a hybrid relay system model and derives its end-to-end success probability under theoretically optimal, but practically unrealistic, conditions. The transmission mode selection is then formulated as a stochastic two-armed bandit problem in a varying environment where the distributions of rewards are nonstationary. The proposed model selection scheme does not assume to have access to any channel states or network conditions, but merely relies on learning from past transmission records. Numerical analyses are performed to validate the proposed bandit-based mode selection approach.