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机构地区:[1]苏州大学电子信息学院,江苏苏州215021 [2]南京邮电大学无线通信重点实验室,江苏南京210003
出 处:《电波科学学报》2013年第4期722-729,共8页Chinese Journal of Radio Science
基 金:国家自然科学基金项目(60872003和61172056);国家博士点基金项目(20093201110005)
摘 要:频谱感知的性能不仅依赖于物理层的感知方法,也取决于媒体接入层的协作调度.针对无线电磁环境非常恶劣的多用户认知网络,提出双次协同频谱感知模型和适应此新模型动态变化特性的动态可变时分多址调度机制以进行跨层协作,推导出了平均感知时间的闭式表达式,给出了实现吞吐量最大化的优化方法,分析了该协作可实现的条件.仿真结果表明:通过对各层特性参数的联合优化设置,相比于单次协同感知,所提协同感知方法及其优化算法可有效提高感知的准确性、时效性及网络吞吐量.Performance of spectrum sensing not only relies on sensing methods in the Physical(PHY)layer,but also depends on cooperative scheduling in the medium access control (MAC)layer. A dynamic and variable time-division multiple-access (DV-TDMA)scheduling mechanism is proposed to combine with a dual-stage col-laborative spectrum sensing(DCSS) model in poor electromagnetic environments of cognitive radio networks. Moreover, closed-form expressions of average sensing time are derived, and throughput optimization problem is presented and analyzed by simulation, as well as the advantages of collaboration are discussed. The simulation results indicate that the proposed DCSS scheme with the DV-TDMA mechanism, when compared to the single collaborative spectrum sensing scheme, is more benefi-cial to improve sensing accuracy and sensing speed,as well as throughput of cogni-tive networks.
关 键 词:认知无线电 频谱感知 双次协同 跨层设计 感知调度
分 类 号:TN925[电子电信—通信与信息系统]
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