WOWMOM '98 Proceedings of the 1st ACM international workshop on Wireless mobile multimedia
Proceedings of the 5th ACM international symposium on Mobile ad hoc networking and computing
International Journal of Ad Hoc and Ubiquitous Computing
International Journal of Ad Hoc and Ubiquitous Computing
A survey on MAC protocols for cognitive radio networks
Ad Hoc Networks
Adaptive QoS-aware channel access scheme for Cognitive Radio networks
International Journal of Ad Hoc and Ubiquitous Computing
Spectrum sensing measurements of pilot, energy, and collaborative detection
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
Performance analysis of the IEEE 802.11 distributed coordination function
IEEE Journal on Selected Areas in Communications
Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks: A POMDP framework
IEEE Journal on Selected Areas in Communications
HC-MAC: A Hardware-Constrained Cognitive MAC for Efficient Spectrum Management
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
Performance analysis of HMM-and ANN-based spectrum vacancy predictor behaviour for cognitive radios
International Journal of Ad Hoc and Ubiquitous Computing
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Many spectrum usage measurement reports have shown that the fixed-frequency allocation mechanism causes unbalanced resource occupancy. Most of the current sensing policies assume the same utilisation rate for various channels. Therefore, their performance cannot be optimised in the presence of sensing constraints. This paper proposes a modified sensing policy based on the statistical property of licensed channels. Using the negotiation rule and the statistics sensing results for the perception phase, the proposed approach can always select the licensed channels with the lowest statistical occupation number. The probability statistics approach is used to formulate the proposed sensing policies for the saturation network. Both analytical and simulation results are presented to validate the proposed model. The results show that our proposed sensing policy can maintain sensing efficiency without adding constraints and also guarantee that more available licensed channels are available. In addition, the computational cost, i.e., sensing number and time, can be reduced. We conclude that our proposed sensing policy can make full use of spectrum resources to improve network throughput.