Analyzing Power Beacon Assisted Multi-Source Transmission Using Markov Chain

Xuanxuan Tang, Yansha Deng, Yueming Cai, Wendong Yang, Arumugam Nallanathan

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


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 delivery. Using Markov chain theory, the energy arrival and departure of each finite-capacity storage at the source is characterized mathematically, and the comprehensive analytical expressions of the energy outage probability (EOP), the connection outage probability (COP), and the average transmission delay (ATD) are formulated and derived. Our results reveal that the EOP, COP, and ATD can be significantly improved via increasing the number of sources deployed in the proposed network with finite transmit power of PB. We also prove that the multi-source network will never experience energy outage with infinite transmit power of PB.
Original languageEnglish
Pages (from-to)3486-3499
JournalIEEE Access
Publication statusPublished - 3 Apr 2018


  • Wireless power transfer
  • Markov chain
  • energy storage
  • energy outage probability
  • average transmission delay


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