We present an analytical framework which enables performance evaluation of different multi-channel multi-stage spectrum sensing protocols for Opportunistic Spectrum Access networks.  Analyzed performance metrics include the average secondary user throughput and the average collision probability between the primary and secondary users. The analysis framework takes into account buffering of incoming secondary user traffic, parallel and single channel access, as well as prolonged channel observation periods at the first and last stage of sensing. The main results show that when a constraint is given upon the probability of primary user mis-detection , multi-stage sensing is in most cases superior to the single stage sensing counterpart. Further , prolonged channel observation at the first sensing stage decreases the collision probability considerably  while keeping the throughput at an acceptable level. Finally, in most network scenariosconsidered in this work, two stages of sensing are enough to obtain the maximum throughput in Opportunistic Spectrum Access communication.
We present an analytical framework which enables performance evaluation of different multi-channel multi-stage spectrum sensing algorithms for Opportunistic Spectrum Access networks. The analytical framework models the following: number of sensing stages, physical layer sensing techniques, single and parallel channel access, primary and secondary user traffic, as well as buffering of incoming secondary user traffic. Analyzed performance metrics include the average secondary user throughput and the average collision probability between primary and secondary users. Our results show that when the probability of primary user mis-detection is constrained, the performance of multi-stage sensing is in most cases superior to the single stage sensing counterpart. Besides , prolonged channel observation at the first stage of sensing decreases the collision probability considerably , while keeping the throughput at an acceptable level. Finally, in realistic primary user traffic scenarios, using two stages of sensing maximizes throughput while meeting constraints subjected by Opportunistic Spectrum Access communication.
R
protocols
algorithms
A
The analytical framework models the following: number of sensing stages, physical layer sensing techniques, single and parallel channel access, primary and secondary user traffic, as well as buffering of incoming secondary user traffic.
D
the
R
The analysis framework takes into account buffering of incoming secondary user traffic, parallel and single channel access, as well as prolonged channel observation periods at the first and last stage of sensing. The main
Our
D
a constraint is given upon
R
,
is constrained, the performance of
R
Further
Besides
R
sensing stage
stage of sensing
A
,
R
most network scenariosconsidered in this work,
realistic primary user traffic scenarios, using
R
are enough to obtain the maximum throughput in
maximizes throughput while meeting constraints subjected by