This letter studies energy harvesting systems, which perform peer discovery. Wireless peer discovery is a network operation performed to identify the existence of peers in the network. In this operation, some fractions of the peers broadcast the discovery message to nearby peers. In such a system, a receiver decodes the message while harvesting energy from the received signal through the power splitting circuit. An optimization problem is examined for maximizing the harvested energy in the peer discovery network with an arbitrary value of the path loss exponent. A low-complexity algorithm is proposed, which utilizes bisection search. The numerical results demonstrate that the proposed algorithm achieves almost the same performance as the optimal exhaustive search algorithm with much reduced complexity.
Bibliographical noteFunding Information:
Manuscript received February 25, 2019; revised March 22, 2019; accepted March 22, 2019. Date of publication March 27, 2019; date of current version May 8, 2019. This work was supported by the National Research Foundation (NRF) through the Ministry of Science, ICT and Future Planning, Korean Government, under Grant 2017R1A2B3012316. The associate editor coordinating the review of this letter and approving it for publication was J. Lee. (Corresponding author: Inkyu Lee.) M. Ashraf was with the School of Electrical Engineering, Korea University, Seoul 02841, South Korea. He is now with the Institute of Information and Communication Technologies, Electronics and Applied Mathematics (ICTEAM), Université Catholique de Louvain, B-1348 Louvain-la-Neuve, Belgium (e-mail: firstname.lastname@example.org).
This work was supported by the National Research Foundation (NRF) through the Ministry of Science, ICT and Future Planning, Korean Government, under Grant 2017R1A2B3012316.
© 1997-2012 IEEE.
- Peer discovery
- Poisson point process (PPP)
- radio frequency energy harvesting
ASJC Scopus subject areas
- Modelling and Simulation
- Computer Science Applications
- Electrical and Electronic Engineering