scholarly journals Queue Performance of Energy Harvesting Cognitive Radio Sensor Networks With Cooperative Spectrum Sharing

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 73548-73560 ◽  
Author(s):  
Wanguo Jiao ◽  
Guoqing Liu ◽  
Haiqing Wu
Keyword(s):  
Cognitive Radio ◽  
Sensor Networks ◽  
Energy Harvesting ◽  
Spectrum Sharing ◽  
Cognitive Radio Sensor Networks ◽  
Cooperative Spectrum Sharing

scholarly journals Outage Probability Minimization for Energy Harvesting Cognitive Radio Sensor Networks

Sensors ◽  
2017 ◽  
Vol 17 (2) ◽  
pp. 224 ◽  
Author(s):  
Fan Zhang ◽  
Tao Jing ◽  
Yan Huo ◽  
Kaiwei Jiang
Keyword(s):  
Cognitive Radio ◽  
Sensor Networks ◽  
Energy Harvesting ◽  
Outage Probability ◽  
Cognitive Radio Sensor Networks

scholarly journals Spectrum Sharing Based on a Bertrand Game in Cognitive Radio Sensor Networks

Sensors ◽  
2017 ◽  
Vol 17 (12) ◽  
pp. 101 ◽  
Author(s):  
Biqing Zeng ◽  
Chi Zhang ◽  
Pianpian Hu ◽  
Shengyu Wang
Keyword(s):  
Cognitive Radio ◽  
Sensor Networks ◽  
Spectrum Sharing ◽  
Cognitive Radio Sensor Networks ◽  
Bertrand Game

scholarly journals Outage and Throughput Analysis of Spectrum Sharing Cognitive Radio Network Incorporating Energy Harvesting Hybrid Relay

2019 ◽  
Vol 9 (2) ◽  
pp. 5222-5228
Keyword(s):  
Cognitive Radio ◽  
Energy Harvesting ◽  
Spectrum Sharing ◽  
Cognitive Radio Network ◽  
Performance Comparison ◽  
Radio Network ◽  
Primary Users ◽  
Best Relay Selection ◽  
Source Signal ◽  
Cooperative Spectrum Sharing

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.

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