Abstract
RF energy harvesting cognitive radio (RF-EH-CR) networks are becoming increasingly important. Channel selection schemes for spectrum sensing play an important role towards increasing the throughput of the secondary users in cognitive radio networks. In this paper, with the help of simulations, we show that the ‘modified myopic EH’ scheme put forth by us performs better than other channel selection schemes and obtains throughput close to complete information case in RF-EH-CR network. The effect of packet arrival probability, energy harvesting probability and the probability of channel availability on the throughput of secondary users using ‘modified myopic EH’ scheme is also discussed. Using Markov chain analysis, we computed the packet drop probability for a secondary user with limited packet and energy buffer. The effect of packet arrival probability and channel availability on the packet drop is also discussed.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
