Availability-Aware Resource Allocation Strategy for Heterogeneous Cognitive Radio Networks

This paper addresses high availability for resource allocation, which might be found in cognitive radio networks so as to optimize network performance. Two resource allocation strategies, the High Available Spectrum Allocation (HASA) and the Optimized Heterogeneous Convergence (OHC), are developed by establishing and numerically solving two optimization multicast applications. The HASA is to minimize the required network-wide resource for scheduling and routing jointly via availability constraints, while the OHC strategy does not degrade response time for network convergence over heterogeneous wireless environment. The effectiveness of both strategies is demonstrated through theoretical analysis. These strategies are also evaluated through extensive experimental studies and the results show that when compared with traditional strategies, the proposed spectrum allocation schemes significantly improve the performance of spectrum scheduling in multicast applications, both in terms of the discovery time and the achieved ratio