Dynamic Programming and Optimal Control
Dynamic Programming and Optimal Control
Efficient Discovery of Spectrum Opportunities with MAC-Layer Sensing in Cognitive Radio Networks
IEEE Transactions on Mobile Computing
Local coordination based routing and spectrum assignment in multi-hop cognitive radio networks
Mobile Networks and Applications
Opportunistic Spectrum Access via Periodic Channel Sensing
IEEE Transactions on Signal Processing
Spectrum Sharing for Multi-Hop Networking with Cognitive Radios
IEEE Journal on Selected Areas in Communications
Secure Distributed Routing Algorithm with Optimizing Energy Consumption for Cognitive Radio Networks
Wireless Personal Communications: An International Journal
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In this paper we study the joint rate allocation, routing and spectrum sharing policy for multi-hop Cognitive Radio Networks (CRNs). We formulate this cross layer optimization problem as a sequential decision process which aims to minimize the average total power consumption of CRNs in each scheduling cycle under the constraint that each Cognitive Radio (CR) user's traffic demand is guaranteed. We consider imperfect spectrum sensing in our problem formulation and address Primary Users (PUs) protection with the interference regulation. We use Dynamic Programming (DP) to solve the formulated problem and derive the optimal rate allocation, routing and spectrum sharing policy for CRNs.