Coverage performance of cognitive radio networks powered by renewable energy

Authors

  • Xiaolong Chen Jinhua Polytechnic http://orcid.org/0000-0002-9341-1970
  • Xiangbo Meng Northeastern University, Shenyang 110819, China.
  • Xiaoshi Song Northeastern University, Shenyang 110819, China.
  • Chun Shan Guangdong Polytechnic Normal University, Guangdong 510665, China.

DOI:

https://doi.org/10.21914/anziamj.v58i0.11431

Keywords:

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

Abstract

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

Author Biographies

Xiaolong Chen, Jinhua Polytechnic

Jinhua Polytechnic: Jinhua, Zhejiang, China.

Xiangbo Meng, Northeastern University, Shenyang 110819, China.

School of Computer Science and Engineering

Xiaoshi Song, Northeastern University, Shenyang 110819, China.

School of Computer Science and Engineering

Chun Shan, Guangdong Polytechnic Normal University, Guangdong 510665, China.

School of Accountancy

Published

2017-07-20

Issue

Section

ANZIAM-ZPAMS Joint Meeting