CRAHNs: Cognitive radio ad hoc networks
Ad Hoc Networks
A survey on MAC protocols for cognitive radio networks
Ad Hoc Networks
Adaptive uplink MAC for CDMA-based cognitive radio networks
MILCOM'09 Proceedings of the 28th IEEE conference on Military communications
WSEAS TRANSACTIONS on COMMUNICATIONS
An efficient broadcasting scheme for cognitive radio ad hoc networks
Proceedings of the 4th International Conference on Cognitive Radio and Advanced Spectrum Management
A survey of common control channel design in cognitive radio networks
Physical Communication
Spatial Spectrum Reuse for Opportunistic Spectrum Access in Infrastructure-Based Systems
Wireless Personal Communications: An International Journal
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Cognitive radio technology has emerged as the novel and effective approach to improve the utilization of precious radio spectrum. Employing the cognitive radio technology, secondary (unlicensed) users can opportunistically utilize the unused licensed spectrum in a way that constrains the level of interference to the primary (licensed) users. However, there are many new challenges associated with cognitive radio based wireless networks, such as the multi-channel hidden terminal problem and the fact that the time-varying channel availability is different for different secondary users, in the medium access control (MAC) layer. To overcome these challenges, we propose an efficient Cognitive Radio-EnAbled Multi-channel MAC (CREAM-MAC) protocol, which integrates the spectrum sensing at physical layer and packet scheduling at MAC layer, over the wireless networks. Under the proposed CREAM-MAC protocol, each secondary user is equipped with a cognitive radio-enabled transceiver and multiple channel sensors. The proposed CREAM-MAC enables the secondary users to best utilize the unused frequency spectrum while avoiding the collisions among secondary users and between secondary users and primary users. In addition, we develop the analytical models to quantitatively analyze our proposed CREAM-MAC protocol in the saturated network case. We also conduct simulation experiments to validate our developed analytical models.