Outage and Throughput Analysis of Spectrum Sharing Cognitive Radio Network Incorporating Energy Harvesting Hybrid Relay
Mousam Chatterjee1, Banani Basu2, Arnab Nandi3, Chanchal Kumar De4
1Mousam Chatterjee*, Department of Electronics and Communication Engineering, B. P. Poddar Institute of Management and Technology, Kolkata, India.
2Banani Basu, Department of Electronics and Communication Engineering, National Institute of Technology, Silchar, India.
3Arnab Nandi, Department of Electronics and Communication Engineering, National Institute of Technology, Silchar, India.
4Chanchal Kumar De, Department of Electronics and Communication Engineering, Haldia Institute of Technology, Haldia, India.
Manuscript received on July 03, 2019. | Revised Manuscript received on July 22, 2019 | Manuscript published on December 30, 2019. | PP: 5222-5228 | Volume-9 Issue-2, December, 2019. | Retrieval Number: B4429129219/2019©BEIESP | DOI: 10.35940/ijeat.B4429.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this paper, cooperative spectrum sharing in cognitive radio (CR) network is incorporated with multi-antenna based RF energy harvesting relays (EH). The performance has been analyzed in the presence of multiple primary users. The relays can harvest energy from source signal and interference from primary transmitter. The relays follow adaptive hybrid protocol (AHR) for forwarding the received signal from source to destination. Outage probability and achievable throughput have been analyzed using a time-splitting relaying (TSR) scheme at the destination where best relay selection (BRS) strategy is used. The outage performances of energy harvesting and non-energy harvesting model have been compared. Throughput and outage performance comparison for AF, DF and AHR have been analyzed. The effect of the number of primary users is also investigated. A trade-off is shown between the number of relays and the number of antennas to achieve the desired throughput. The results depict that the use of energy harvesting strategy in cognitive radio network can result in an energy-efficient solution for future wireless communication.
Keywords: Amplify-and-Forward (AF), Decode-and-Forward (DF), Adaptive Hybrid Relay (AHR), Energy Harvesting (EH).