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Statistical QoS-Driven Resource Allocation over FD-SS Cooperative Cognitive Radio Networks

As a critical technique to support the multimedia services - the major traffic in cooperative cognitive radio networks (CRNs), the statistical quality-of-service (QoS) technique has been proved to be effective in statistically guaranteeing delay-bounded video transmissions over the time- varying wireless channels. On the other hand, in modern cooperative CRNs, the full-duplex spectrum sensing (FD-SS) scheme is designed to be a promising candidate technique for fully utilizing the channel spectrum while significantly enhancing the performance. However, how to efficiently integrate the FD-SS technique in supporting statistical QoS over cooperative CRNs imposes many new challenges not met before. To effectively overcome the above-mentioned difficulties, we propose the QoS-driven resource allocation scheme to implement FD-SS based multimedia services in cooperative CRNs. In particular, under the Nakagami-m channel model, we establish the cooperative spectrum sharing system model. We develop the FD-SS scheme and derive the probabilities of miss detection and false alarm for the proposed FD-SS scheme over cooperative CRNs. Given the statistical QoS constraints, we analyze the effective capacity and our proposed optimal resource allocation policy using the proposed FD-SS architecture over cooperative CRNs. Also conducted is a set of simulations which evaluate the system performance and show that our proposed resource allocation policy can achieve the optimality under the statistical delay-bounded QoS constraints over cooperative CRNs.