In-band spectrum sensing in cognitive radio networks: energy detection or feature detection?
Proceedings of the 14th ACM international conference on Mobile computing and networking
A two-stage sensing technique for dynamic spectrum access
IEEE Transactions on Wireless Communications
Sensing-Throughput Tradeoff for Cognitive Radio Networks
IEEE Transactions on Wireless Communications
On myopic sensing for multi-channel opportunistic access: structure, optimality, and performance
IEEE Transactions on Wireless Communications - Part 2
Dynamic spectrum access in open spectrum wireless networks
IEEE Journal on Selected Areas in Communications
What and how much to gain by spectrum agility?
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
Spectrum occupancy validation and modeling using real-time measurements
Proceedings of the 2010 ACM workshop on Cognitive radio networks
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Dynamic Spectrum Access (DSA) has the potential to vastly improve spectrum utilizations among heterogeneous networks. We present a continuous-time Markov chain (CT-MC) model to analyze the performance of three co-located cognitive systems with various priority classes and bandwidth requirements. The maximum spectrum utilization and minimum blocking probability are derived in a one-channel band scenario. A channel packing scheme (CPS) is then proposed in a multiple-channel band scenario. This scheme packs users of smaller bandwidth requirements in clusters, in order to alleviate the unnecessary blockage to users of larger bandwidth requirements. Numerical results show that the system can benefit from CPS in terms of blocking probability, spectrum utilization and overall failure probability.