基于用户需求和历史信息的动态频谱分配算法

针对认知无线电系统中动态频谱分配算法开展研究,以干扰图模型为基础,提出一种改进的基于业务需求和历史信息的动态频谱分配算法。为利于快速收敛,算法采用最大独立集为分配起点,允许将信道同时分配给多个用户,联合功率控制机制最小化认知用户间的干扰,引入信道优先级和用户优先级表征历史信息和业务需求,优先分配高质量的信道给高优先级用户集以保证公平性。最后通过仿真分析进行了算法的有效性验证。

Demand and Historical Information based Algorithm in Dynamic Spectrum Allocation

Dynamic spectrum allocation algorithm is a key way to improve spectrum efficiency in cognitive radio networks. Due to defects of existing dynamic spectrum allocation algorithms, build on the basis of interference graph, Proposed an improved dynamic spectrum allocation algorithm based on demand and historical information. For the purpose of fast convergence, the algorithm uses the maximum independent set is assigned a begins, and allow multiple users at the same time assigned to a particular channel with no interference between each other, and joint power control mechanism to minimize interference between users, in addition, allocation take user demand and historical information into account, introducing channel priority and user priority to assign channel of high quality to users of high priority so as to enable fairness. Simulation results in the end confirm the verification of the algorithm.