异构无线网络中基于覆盖概率的动态频谱分配算法
doi: 10.3724/SP.J.1146.2012.01088
Dynamic Spectrum Allocation Based on Coverage Probability in Heterogeneous Wireless Networks
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摘要: 该文研究异构无线网络下行链路动态频谱分配(DSA)问题。首先考虑用户分布对下行链路干扰分析的影响及不同业务用户的信干比(SIR)要求，利用用户分布密度函数将小区内用户的SIR性能转化为小区基站的覆盖性能，在阴影衰落信道条件下，提出基于覆盖概率的干扰控制模型；基于该干扰控制模型，以网络效益最大化为目标，将DSA建模为非线性约束组合优化问题，进而结合贪婪思想设计了基于覆盖概率的DSA(CP-DSA)算法。仿真结果表明，CP-DSA算法能够提高网络效益，有效控制基站之间的干扰，满足用户的SIR要求。Abstract: 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.
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