NeXt generation/dynamic spectrum access/cognitive radio wireless networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Opportunistic spectral usage: bounds and a multi-band CSMA/CA protocol
IEEE/ACM Transactions on Networking (TON)
CRAHNs: Cognitive radio ad hoc networks
Ad Hoc Networks
A quorum-based framework for establishing control channels in dynamic spectrum access networks
Proceedings of the 15th annual international conference on Mobile computing and networking
Medium access control protocols in cognitive radio networks
Wireless Communications & Mobile Computing - Recent Advances in Wireless Communications and Networks
Spectrum opportunity-based control channel assignment in cognitive radio networks
SECON'09 Proceedings of the 6th Annual IEEE communications society conference on Sensor, Mesh and Ad Hoc Communications and Networks
OFDM-Based Common Control Channel Design for Cognitive Radio Ad Hoc Networks
IEEE Transactions on Mobile Computing
Routing in cognitive radio networks: Challenges and solutions
Ad Hoc Networks
A Distributed Message-passing Approach for Clustering Cognitive Radio Networks
Wireless Personal Communications: An International Journal
Joint scheduling and power control for wireless ad hoc networks
IEEE Transactions on Wireless Communications
Stochastic Medium Access for Cognitive Radio Ad Hoc Networks
IEEE Journal on Selected Areas in Communications
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The cognitive radio (CR) technology is an efficient approach to share the spectrum. But how to access the idle channels effectively is a challenging problem. To solve this problem, we propose a MAC protocol for cluster-based CR ad hoc networks, with the aim of making cluster structure more robust to the primary users' channel re-occupancy activities, so that the CR users can use the idle spectrum more efficiently. Under this framework, a cluster formation algorithm based on available channels, geographical position and experienced statistics is proposed to maximize the network throughput and maintain the cluster topology stability. The schemes for new CR user joining a cluster and cluster maintenance are also designed. An experience database is proposed to store the experienced statistics which are obtained from spectrum occupancy history. Such a database can be used to support the acts of nodes, such as neighbor discovery and cluster forming. Simulation results reveal that our proposed framework not only outperforms conventional CR MAC protocols in terms of throughput and packet delay, but also generates a smaller number of clusters and has more stable cluster structure with less reclustering time.