2 research outputs found
Performance optimization of the mini-slotted spectrum allocation strategy with imperfect sensing
In this paper, in order to improve the normal throughput of secondary user packets and reduce the spectrum
switching frequency in cognitive radio networks, a novel mini-slotted spectrum allocation strategy is proposed. Due to the
mistake detection in practice, the secondary user packet and the primary user packet will occupy the spectrum
simultaneously, i.e., a collision will occur on the spectrum. A heterogeneous discrete-time queueing model with possible
collisions is established to model the system operation. Taking into account imperfect sensing results, the transition
probability matrix is constructed. Applying the method of matrix geometric solution, performance measures in terms of the
disruption rate of primary user packets, the normal throughput of secondary user packets, the spectrum switching rate and
the average latency of secondary user packets are given. Numerical results are provided to verify the effectiveness of the
proposed mini-slotted spectrum strategy. Finally, by trading off different system performance measures, a net benefit
function is constructed, then the slot size is optimized