1 research outputs found
On Prioritized Spectrum Access in Cognitive Radio Networks with Imperfect Sensing
Cognitive Radio networks allow the unlicensed users
to share the available spectrum opportunities. However, this demands for
solving the problem of contention among multiple unlicensed user packets for
transmission. In our paper, we consider the Opportunistic Spectrum Access model
for packet transmission between two unlicensed users. We suggest a priority
scheme for a unlicensed user to concurrently transmit different types of
packets. Our scheme reserves a fixed number of queueing places in the buffer
for the prioritized packets. We study the transmission performance under both
the priority scheme and imperfect spectrum sensing, with respect to the
blocking probabilities, average transmission delay and transmission throughput
of unlicensed users packets. The Markov chain based numerical analysis is
validated by simulation experiments. Our results show
that the suggested priority scheme is able to enhance transmission throughput
of unlicensed users packets, together with significant decreased average
transmission delay and minor decreased total transmission throughput