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认知无线电技术作为未来通信的新兴领域,研究与应用前景非常广阔。本文主要的任务是完成认知无线电网络、跨层协议及调度算法的融合设计工作及其深入研究。作者对认知无线电网络的结构架构进行了着重分析,主要包括普通用户对主要用户造成的功率干扰、MAC层的服务类型、Qo S需求、数据队列状态等。同时设计了新型Qo S状态衡量准则,能够准确地描述网络用户Qo S保障态势、实时/非实时业务的公平性能感知状况。在以上研究的基础上提出了基于无线网络性能融合最优化的调度算法。实验结果表明,通过合理地设定比例权重,此算法可以较的满足实时/非实时业务的最低Qo S需求,维持较公平的性能状态,同时可以显著降低网络中普通用户对主要用户造成的平均功率干扰情况。总之,本文设计的跨层调度算法可以达到用户的多种需求,而且性能均优于传统的经典调度算法。
Cognitive radio technology as an emerging field of future communications, research and application prospects are very broad. The main task of this paper is to complete the integration design of cognitive radio networks, cross-layer protocols and scheduling algorithms and their further research. The author focuses on the structure of cognitive radio network architecture, including the main users of ordinary users caused by power interference, MAC layer service types, Qo S demand, the status of the data queue. At the same time, a new Qo S state measurement criterion is designed, which can accurately describe the Qo S protection situation of network users and the fair performance perception of real-time / non-real-time services. Based on the above research, a scheduling algorithm based on the performance optimization of wireless network is proposed. The experimental results show that this algorithm can meet the minimum Qo S requirements of real-time / non-real-time services and maintain fair performance by reasonably setting the weight of proportion. At the same time, this algorithm can significantly reduce the average average number of main users Power interference situation. In conclusion, the cross-layer scheduling algorithm designed in this paper can meet the diverse needs of users and perform better than the traditional classical scheduling algorithms.