Analyzing Power Beacon Assisted Multi-Source Transmission Using Markov Chain
Xuanxuan Tang, Yansha Deng, Yueming Cai, Wendong Yang, and Arumugam, Nallanathan

TL;DR
This paper analyzes a power beacon-assisted multi-source wireless transmission system using Markov chain theory, proposing a source selection scheme to optimize energy and information transfer reliability.
Contribution
It introduces a practical source selection scheme with IT and non-IT modes and derives analytical expressions for key performance metrics using Markov chain modeling.
Findings
Increasing the number of sources improves reliability metrics.
Finite power PB can cause energy outages, but infinite power eliminates this risk.
Analytical expressions for EOP, COP, and ATD are derived.
Abstract
Wireless power transmission (WPT) is envisioned to be a promising technology for prolonging the lifetime of wireless devices in energy-constrained networks. This paper presents a general power beacon (PB) assisted multi-source transmission, where a practical source selection scheme with information transmission (IT) mode or non-IT mode is developed to maximize the transmission reliability. In the IT mode, a zero-forcing (ZF) beamformed signal with no interference to the destination is transmitted at the multi-antenna PB to supply wireless energy for the sources, and bring non-negative effect to the destination. Among multiple sources, the energy-sufficient source with the best channel quality is selected for wireless information transmission (WIT), while the other sources remain for energy harvesting. In the non-IT mode, the equal power transmission is adopted at PB to focus on energy…
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Taxonomy
TopicsEnergy Harvesting in Wireless Networks · Full-Duplex Wireless Communications · Advanced MIMO Systems Optimization
