scholarly journals Cognitive Radio Network With Energy-Harvesting Based on Primary and Secondary User Signals

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 9081-9090 ◽  
Author(s):  
Yuan Gao ◽  
Haixia He ◽  
Zhixiang Deng ◽  
Xuewu Zhang
Keyword(s):  
Cognitive Radio ◽  
Energy Harvesting ◽  
Cognitive Radio Network ◽  
Secondary User ◽  
Radio Network

scholarly journals Throughput Optimization of Parallel Sensing and Energy Harvesting Cognitive Radio Network

2021 ◽  
Vol 38 (3) ◽  
pp. 739-745
Author(s):  
Anitha Bujunuru ◽  
Srinivasulu Tadisetty
Keyword(s):  
Cognitive Radio ◽  
Energy Harvesting ◽  
Spectrum Sensing ◽  
Cognitive Radio Network ◽  
Secondary User ◽  
Throughput Optimization ◽  
Radio Network ◽  
Parallel Operation ◽  
Harvesting Technique ◽  
Reduction Of Energy Consumption

In cognitive radio, throughput of secondary user (SU) will depend on spectrum sensing performance and available power of secondary user to transmits data. As the secondary user dissipates energy for spectrum sensing operation and to maintain cooperation among multiple SUs can results in reduction of transmission power. To compensate this energy, an energy harvesting technique has introduced in cognitive radio by which SU can harvest energy from primary (PU) signal and this harvested energy will be utilized to transmit its data and increases the lifetime. In a traditional Energy Harvesting Cognitive Radio Network (EHCRN), SU can perform sensing and harvesting in separate slots which decrease the transmission time of secondary user results in reduction in throughput. To enhance the throughput of secondary user, a parallel operation of spectrum sensing and energy harvesting has been discussed. This parallel operation results in reduction of energy consumption and increases harvested energy that makes more energy to be available for transmission, which results in an increase of SU throughput. Simulation results using MATLAB shows that the proposed Parallel Sensing and Energy Harvesting CRN have improved the throughput compared to Traditional Energy Harvesting CRN and are analyzed with different parameters.

Primary behaviour-based energy harvesting multihop cognitive radio network

2017 ◽  
Vol 11 (16) ◽  
pp. 2466-2475 ◽  
Author(s):  
Soumen Mondal ◽  
Sanjay Dhar Roy ◽  
Sumit Kundu
Keyword(s):  
Cognitive Radio ◽  
Energy Harvesting ◽  
Cognitive Radio Network ◽  
Radio Network
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