@conference {1075, title = {Prediction on Proactive Channel Sensing Strategy for Cognitive Radio}, booktitle = {Data Science \& Engineering (IEEE ICDSE), 2012 International Conference on}, year = {2012}, month = {18 july}, address = {cochin}, abstract = {

Abstract {\textendash} Sensing optimal idle channel for future
transmission is the hot research topic in Cognitive radio (CR)
network environment. CR Network performance greatly
depends upon the waiting time of the Cognitive User (CU) for
getting free channel from licensed band. Probability of
available free channel will be less when arrival rate of
primary user to their allocated licensed band is high. So the
effective channel selection and switching strategy needed to
overcome this issue and increasing throughput of the data
transmission over cognitive radio network. In this paper
focusing prediction on channel selection scheme pro-actively
and comparing the performance with existing reactive
prediction polices.

}, url = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=\&arnumber=6282315\&contentType=Conference+Publications\&searchField\%3DSearch_All\%26queryText\%3Dsarang}, attachments = {https://people.cse.nitc.ac.in/sites/default/files/sarangsukumar/files/06282315.pdf}, author = {sarang sukumar} }