Intelligent cognitive spectrum collaboration:Convergence of spectrum sensing,spectrum access,and coding technology

查看全文 作　　者：Peixiang [1,2,3]Cai;Yu [1,2,3]Zhang

机构地区：[1]Beijing National Research Center for Information Science and Technology,(BNRist),Beijing 100084,China;[2]Key Laboratory of Digital TV System of Guangdong Province and Shenzhen City,Research Institute of Tsinghua University in Shenzhen,Shenzhen 518057,China;[3]Department of Electronic Engineering,Tsinghua University,Beijing 100084,China

出　　处：《Intelligent and Converged Networks》索引2020年第1卷第1期,共20页

基　　金：This work was supported by the National Natural Science Foundation of China(No.61790553);Shenzhen Science and Technology Plan Projects(No.JCYJ20180306170614484);Shanghai Municipal Science and Technology Major Project(No.2018SHZDZX04). 摘　　要：For a future scenario where everything is connected,cognitive technology can be used for spectrum sensing and access,and emerging coding technologies can be used to address the erasure of packets caused by dynamic spectrum access and realize cognitive spectrum collaboration among users in mass connection scenarios.Machine learning technologies are being increasingly used in the implementation of smart networks.In this paper,after an overview of several key technologies in the cognitive spectrum collaboration,a joint optimization algorithm of dynamic spectrum access and coding is proposed and implemented using reinforcement learning,and the effectiveness of the algorithm is verified by simulations,thus providing a feasible research direction for the realization of cognitive spectrum collaboration. 关键词：cognitive radio spectrum sensing dynamic spectrum access coding technology reinforcement learning joint optimization

相关文献

参考文献（100）
引证文献（5）
耦合文献（0）

参考文献(100)

引证文献(5)

互联网出版许可证新出网证(渝)字10号全国400电话 - 免长途话费

Intelligent cognitive spectrum collaboration:Convergence of spectrum sensing,spectrum access,and coding technology

参考文献(100)

引证文献(5)

用户提示