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http://dx.doi.org/10.1109/JCN.2016.000050

Increasing Throughput in Energy-Based Opportunistic Spectrum Access Energy Harvesting Cognitive Radio Networks  

Yao, Yuanyuan (Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications)
Yin, Changchuan (Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications)
Song, Xiaoshi (school of Information Science and Engineering, Northeastern University)
Beaulieu, Norman C. (Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications)
Publication Information
Journal of Communications and Networks / v.18, no.3, 2016 , pp. 340-350 More about this Journal
Abstract
The performance of large-scale cognitive radio (CR) networks with secondary users sustained by opportunistically harvesting radio-frequency (RF) energy from nearby primary transmissions is investigated. Using an advanced RF energy harvester, a secondary user is assumed to be able to collect ambient primary RF energy as long as it lies inside the harvesting zone of an active primary transmitter (PT). A variable power (VP) transmission mode is proposed, and an energy-based opportunistic spectrum access (OSA) strategy is considered, under which a secondary transmitter (ST) is allowed to transmit only if its harvested energy is larger than a predefined transmission threshold and it is outside the guard zones of all active PTs. The transmission probability of the STs is derived. The outage probabilities and the throughputs of the primary and the secondary networks, respectively, are characterized. Compared with prior work, the throughput can be increased by as much as 29%. The energy-based OSA strategy can be generally applied to a non-CR setup, where distributed power beacons (PBs) are deployed to power coexisting wireless signal transmitters (WSTs) in a wireless powered sensor network.
Keywords
Cognitive radio (CR); energy-based opportunistic spectrum access; energy harvesting; stochastic geometry; transmit threshold;
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