数据库驱动机会性频谱接入中的动态分区问题研究

项目名称： 数据库驱动机会性频谱接入中的动态分区问题研究

项目编号： No.61502457

项目类型： 青年科学基金项目

立项/批准年度： 2016

项目学科： 自动化技术、计算机技术

项目作者： 高博

作者单位： 中国科学院计算技术研究所

项目金额： 20万元

中文摘要： 数据库驱动机会性频谱接入是认知无线电网络的新发展。数据库利用模型为有授权用户（PU）定义保护区，并允许无授权用户（SU）在保护区外与PU共享频谱。但是，分区一般实现静态且保守的空白频谱接入，为保护PU过度缩小SU的频谱接入范围。考虑到频谱感知的实时性有利于弥补数据库的保守性，本课题拟研究如何实时地将频谱感知与数据库整合从而动态地修正分区以最大化频谱共享效率。首先，本课题拟研究动态分区对空白频谱获取的改善，设计动态分区机制以通过指导频谱感知活动来实现可靠且充分的空白频谱获取。其次，本课题拟研究频谱感知信息收集对动态分区的支持以及对空白频谱分配的改善，设计频谱感知激励机制以根据动态分区的需求来激励频谱感知贡献，并将其与空白频谱奖励联系起来实现高效且公平的空白频谱分配。最后，本课题拟研究频谱感知与数据库相互融合对动态分区的支持，设计数据融合机制以根据动态分区的需求来构建实时的空白频谱图。

中文关键词： 机会频谱接入；认知无线网络；地理定位数据库；频谱感知；频谱共享

英文摘要： Database-driven opportunistic spectrum access (OSA) is recent advances of cognitive radio networks. In database-driven OSA, secondary users (SUs) can query geolocation database to obtain white space opportunities, while primary users (PUs) should be protected in incumbent exclusion zones. However, such exclusion zones given by propagation modeling are usually static and over-conservative for low miss detection rates, and it is very likely that high false alarm rates lead to significant loss of white spaces. Fortunately, spectrum sensing is helpful to serve as the supplement of geolocation database to dynamically discover extra white spaces. In this proposal, we plan to study real-time integration of spectrum sensing into database-driven OSA in order to optimize spectrum sharing, including both the protection of PUs and the coexistence of SUs, through dynamic refinement of exclusion zone boundaries. First, we plan to study dynamic zoning that improves the discovery of white spaces. We aim to design a dynamic zoning mechanism that controls spectrum sensing operations to achieve reliable and relatively exhaustive discovery of white spaces. Second, we plan to study the collection of spectrum measurements that supports dynamic zoning and at the same time improves the allocation of white spaces. We aim to design a sensing incentivization mechanism that dynamically incentivizes participatory sensing for dynamic zoning and carefully pays the participants with white space opportunities so as to achieve efficient and fair allocation of white spaces as the rewards. Third, we plan to study the fusion of static propagation modeling and real-time spectrum measurements that supports dynamic zoning. We aim to design a data fusion mechanism that dynamically updates a white space map as the basis for the optimization of dynamic zoning.

英文关键词： Opportunistic Spectrum Access;Cognitive Radio Network;Geolocation Database;Spectrum Sensing;Spectrum Sharing