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. doi:10.1017/S1446181117000244
@article{11431,
title = {Coverage performance of cognitive radio networks powered by renewable energy},
journal = {ANZIAM Journal},
volume = {58},
year = {2017},
doi = {10.21914/anziamj.v58i0.11431},
language = {EN},
url = {http://dml.mathdoc.fr/item/11431}
}
Chen, Xiaolong; Meng, Xiangbo; Song, Xiaoshi; Shan, Chun. Coverage performance of cognitive radio networks powered by renewable energy. ANZIAM Journal, Tome 58 (2017) . doi : 10.21914/anziamj.v58i0.11431. http://gdmltest.u-ga.fr/item/11431/