Low complexity energy-efficient multilevel cluster-based cooperative spectrum sensing in cognitive radio networks
- Resource Type
- Conference
- Authors
- Alqawasmeh, Abeer F.; Awin, Faroq A.; Salout, Noor; Abdel-Raheem, Esam; Tepe, Kemal
- Source
- 2017 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Signal Processing and Information Technology (ISSPIT), 2017 IEEE International Symposium on. :117-121 Dec, 2017
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Robotics and Control Systems
Signal Processing and Analysis
Signal processing algorithms
Clustering algorithms
Fading channels
Sensors
Signal to noise ratio
Nakagami distribution
cognitive radio
energy detection and hierarchical cluster based spectrum sensing
- Language
The multi-level hierarchical cluster based spectrum sensing (MH-CBSS) algorithm balances between the detection performances and the incurred overhead. However, the MH-CBSS algorithm requires computational burden. In this work, we propose a modified MH-CBSS algorithm that reduces the computational requirements by initially defining the number of reporting cognitive radios (CRs). Simulation results show that the detection performance of the modified algorithm outperforms the MH-CBSS algorithm over Rayleigh and Nakagami fading channels.