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.
|Title of host publication||International Conference on Electronics and Communication Systems, ICECS 2014|
|Pages||Article number 6892567|
|Publication status||Published - Feb 2014|
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