Markov-chain based Performance Analysis and Evaluation of Harvest-then-Access Scheduling for Wireless Powered Communication Network

Wireless powered communication network (WPCN) is a novel structure of the that integrates wireless information (WIT) and energy transfer(WET). The scheduling design key factor for performance improvement WPCN. As an effective approach, “Harvest-then-Access” has been proposed. This approach requires optimizing control parameters in scheduling. Therefore, some approaches, such as machine learning or simulation, have used. paper proposes Markov-chain model-based analytical model Harvest-then-Access We propose new model, which includes essential operation WPCN with Harvest-then-Access. From we derive optimal time interval WET Harvest-then-Access, simultaneously provides throughput fairness among devices. validity proposed demonstrated by comparing simulation result. Then, evaluate through comparison to other