NeXt generation/dynamic spectrum access/cognitive radio wireless networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
CRAHNs: Cognitive radio ad hoc networks
Ad Hoc Networks
Distributed energy efficient spectrum access in cognitive radio wireless ad hoc networks
IEEE Transactions on Wireless Communications
Probability-based combination for cooperative spectrum sensing
IEEE Transactions on Communications
Centralized and distributed optimization of ad-hoc cognitive radio network
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Throughput analysis of a randomized sensing scheme in cell-based ad-hoc cognitive networks
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
A Spectrum Decision Framework for Cognitive Radio Networks
IEEE Transactions on Mobile Computing
OFDM-Based Common Control Channel Design for Cognitive Radio Ad Hoc Networks
IEEE Transactions on Mobile Computing
Sensing-Throughput Tradeoff for Cognitive Radio Networks
IEEE Transactions on Wireless Communications
Cooperative spectrum sensing in cognitive radio networks: A survey
Physical Communication
Cognitive Wireless Mesh Networks with Dynamic Spectrum Access
IEEE Journal on Selected Areas in Communications
Spectrum sharing optimization with QoS guarantee in cognitive radio networks
Computers and Electrical Engineering
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The spectrum decision concept in Cognitive Radio Ad-Hoc Networks (CRAHNs) introduces important challenges. These include the time-dependent SNR observations of individual CRAHN users due to the fading and shadowing effects in the licensed channels, the necessity of fusion mechanisms for accurate decisions, and the difficulties depending on multi-hop deployment. Considering these challenges, in this paper, we propose a dynamic, cooperative and distributed spectrum decision mechanism in order to decide the channel usage in CRAHNs accurately. The proposed mechanism introduces the SNR Tracking System which considers the time-varying local SNR observations and decisions of the CRAHN users. The proposed mechanism employs a distributed Weighted Fusion Scheme (WFS), to combine the individual decisions and hence, to obtain the cooperative decision. The proposed spectrum decision mechanism adapts itself dynamically to the multi-hop architecture of the network. The performance of the proposed mechanism is compared to some conventional fusion mechanisms based on the AND, OR and MAJORITY rules, and it is shown that the proposed weighted mechanism gives lower false alarm and higher detection probabilities compared to the conventional fusion mechanisms.