Monte-Carlo Simulation Based Analysis of Sender-Jump Receiver-Wait Rendezvous Technique with Asymmetric Channels for Cognitive Networks

Abstract

Underutilization of radio spectrum is being rehabilitated into resources with the dynamic configuration characteristics of cognitive radio. Upon detection of vacant channel, consensus of transmitter and receiver on one channel is precondition for data transmission which is termed as rendezvous. Blind and asymmetric views of channels necessitate a substantial cost on agreement of transmitter and receiver for attaining a common channel. In this paper, analytical views of statistical distribution with asymmetric channel for rendezvous are put into display. Upon analysis of statistical characteristics, the rendezvous times for different repetition rates and delays are obtained. Based on the analysis, we have perceived finest repetition rate for different point of views. Through Matlab simulations, it is demonstrated that, proper guaranteed consensus of channel within optimal time is ensured with statistical distribution over conventional system.