Dynamic Spectrum Allocation Based on Coverage Probability in Heterogeneous Wireless Networks

Dynamic Spectrum Allocation (DSA) in heterogeneous wireless networks is investigated for the downlink communication of cellular Base Stations (BSs). A new Interference Control (IC) model for the case of log-normal shadowing is proposed based on Coverage Probability (CP). Such IC model considers the users distribution and transforms the SIR (Signal to Interference Ratio) requirement of users with different services into the coverage performance of BSs. Based on the IC model, DSA is formulated as a combinatorial optimization problem with nonlinear constraints. An algorithm of greedy CP-DSA is designed for the DSA issue. Simulation results indicate that CP-DSA can increase the network utility, control effectively the interference among BSs and satisfy the SIR requirement of users.