The impact of primary user activity on the performance of sequence-based rendezvous

Rendezvous in cognitive networks is often conducted using a predefined or adaptive channel hopping sequence, due to the fact that the time to rendezvous in such cases has a finite upper bound. However, random activity of primary users on any of the channels used can destroy a rendezvous. We show that, in the presence of random primary user activity, the time to rendezvous of sequence-based rendezvous techniques becomes a random variable without a finite upper bound.