Performance Analysis of Dynamic Spectrum Allocation in Heterogeneous Wireless Networks

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Increasing convergence among heterogeneous radio networks is expected to be a key feature of future ubiquitous services. The convergence of radio networks in combination with Dynamic Spectrum Allocation (DSA) could be a beneficial means to solve the growing demand for radio spectrum. DSA might enhance the spectrum utilization of involved radio networks to comply with user requirements for high-quality multimedia services. This paper proposes a simple spectrum allocation algorithm and presents an analytical model of dynamic spectrum resource allocation between two networks using a 4-D Markov chain. The authors argue that there may exist a breakeven point for choosing whether or not to adopt DSA in a system. They point out certain circumstances where DSA is not a viable alternative.