Research Article
Spectral Efficiency of Energy Harvesting Random Cognitive Radio Networks in Dual-slope Model
@ARTICLE{10.4108/eai.14-1-2019.160388, author={Saifur Rahman Sabuj and Rakiba Rayhana and Aldrin Nippon Bobby}, title={Spectral Efficiency of Energy Harvesting Random Cognitive Radio Networks in Dual-slope Model}, journal={EAI Endorsed Transactions on Cognitive Communications}, volume={4}, number={14}, publisher={EAI}, journal_a={COGCOM}, year={2019}, month={1}, keywords={Cognitive radio network, Stochastic geometry, Poisson point process, Energy harvesting, and Spectral efficiency}, doi={10.4108/eai.14-1-2019.160388} }- Saifur Rahman Sabuj
Rakiba Rayhana
Aldrin Nippon Bobby
Year: 2019
Spectral Efficiency of Energy Harvesting Random Cognitive Radio Networks in Dual-slope Model
COGCOM
EAI
DOI: 10.4108/eai.14-1-2019.160388
Abstract
This research article evaluates the performance of an energy harvesting random cognitive radio network employing a dual-slope path-loss model in terms of spectral efficiency. It derives the mathematical expression of spectral efficiency by means of stochastic geometry for secondary receivers present in the network in active mode. The numerical result highlights a rise in the efficiency by 20.7% for an increase of 1 dBm in transmit power at a power splitting ratio of 0.5.
Copyright © 2019 Saifur Rahman Sabuj et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
