joint rate allocation, routing and spectrum sharing for multi-hop cognitive radio networks with imperfect spectrum sensing
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.
cognitive radio networks dynamic resource allocations