Coverage performance of cognitive radio networks powered by renewable energy

Xiaolong Chen, Xiangbo Meng, Xiaoshi Song, Chun Shan


We analyse the coverage performance of cognitive radio networks powered by renewable energy. Particularly, with an energy harvesting module and energy storage module, the primary transmitters (PTs) and the secondary transmitters (STs) are assumed to be able to collect ambient renewables, and store them in batteries for future use. Upon harvesting sufficient energy, the corresponding PTs and STs (denoted by eligible PTs and STs) are then allowed to access the spectrum according to their respective medium access control (MAC) protocols. For the primary network, an Aloha-type MAC protocol is considered, under which the eligible PTs make independent decisions to access the spectrum with probability \(\rho_p\). By applying tools from stochastic geometry, we characterize the transmission probability of the STs. Then, with the obtained results of transmission probability, we evaluate the coverage (transmission nonoutage) performance of the overlay CR network powered by renewable energy. Simulations are also provided to validate our analysis.



cognitive radio, opportunistic spectrum access, stochastic geometry, Poisson point process, coverage probability, renewable energy.


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ANZIAM Journal, ISSN 1446-8735, copyright Australian Mathematical Society.