This research is about improving detection probabilities using regression of binary decisions obtained from individual Cognitive radio nodes on possible radio path-loss curve between primary user and fusion center of co-operative spectrum sensing setup. This is a breakthrough technique in aiding the system probabilities improvements using deterministic nature of long distance radio propagation loss in a distributed detection setup. This paper considers the simple Log-distance path loss model and assumes effect of Log-normal shadowing. The frame work established in this paper can be extended to other variations and combination of path loss models and can deploy advanced pattern matching techniques.
Bibliographical noteThis conference paper is not yet available on the repository. The paper was given at the International Conference on Electronics and Communication Systems, ICECS 2014; Coimbatore; India; 13 February 2014 through 14 February 2014
- Co-operative spectrum sensing
- Cognitive radio
- Log-normal shadowing
Nagaraja, N., Kadambi, G., & Vershinin, Y. (2014). Co-operative Spectrum sensing using CR node binary decision regression on estimated wireless path-loss curves. In International Conference on Electronics and Communication Systems, ICECS 2014 (Vol. 2014, pp. Article number 6892567). IEEE. https://doi.org/10.1109/ECS.2014.6892567