Dynamic Programming and Optimal Control
Dynamic Programming and Optimal Control
IEEE Spectrum
Cognitive PHY and MAC layers for dynamic spectrum access and sharing of TV bands
TAPAS '06 Proceedings of the first international workshop on Technology and policy for accessing spectrum
Optimal channel probing and transmission scheduling for opportunistic spectrum access
Proceedings of the 13th annual ACM international conference on Mobile computing and networking
Efficient Discovery of Spectrum Opportunities with MAC-Layer Sensing in Cognitive Radio Networks
IEEE Transactions on Mobile Computing
Proceedings of the 15th annual international conference on Mobile computing and networking
Optimal multiband joint detection for spectrum sensing in cognitive radio networks
IEEE Transactions on Signal Processing
Optimal selection of channel sensing order in cognitive radio
IEEE Transactions on Wireless Communications
A measurement-based model for dynamic spectrum access in WLAN channels
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
Opportunistic Spectrum Access via Periodic Channel Sensing
IEEE Transactions on Signal Processing
Sensing-Throughput Tradeoff for Cognitive Radio Networks
IEEE Transactions on Wireless Communications
Full length article: Proactive channel access in dynamic spectrum networks
Physical Communication
A MAC Sensing Protocol Design for Data Transmission with More Protection to Primary Users
IEEE Transactions on Mobile Computing
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Spectrum handoff occurs when the primary users appear in the licensed spectrum temporarily occupied by the secondary users and aims to help the secondary users to vacate the spectrum rapidly and to resume transmission on new selected available channels. However, a spectrum handoff policy that comprehensively considers spectrum sensing, target channel selection as well as spectrum estimation has yet to be developed. In this paper we present a sequential sensing based spectrum handoff policy for multiple-user cognitive radio networks. First, we select the appropriate candidate channels for each secondary user, then their associated optimal sensing order together with the best target handoff channel is determined through sequential sensing based on Dynamic Programming (DP). Note that many spectrum handoff will occur during one secondary user transmission and our objective is to minimize the total number of spectrum handoff. The sequential sensing based spectrum handoff policy is evaluated through a comprehensive simulation study. The results reveal significant improvements in the system performance by reducing the number of spectrum handoff over conventional approaches. Moreover, our proposed DP method can significantly lower the computational complexity compared to exhaustive search and common DP (performing sequential sensing over all the channels in the system using Dynamic Programming).