Network architecture self-adaption technology in cognitive radio networks
Haijun Wang, Haitao Zhao, Li Jiaxun, Shan Wang, Jibo Wei · 2016
In order to improve the connectivity and survivability of Cognitive Radio Networks (CRNs) under complex and vicious communication environment, we propose a network architecture self-adaption technology. The technology enables CRN to switch between three kinds of architectures, i.e., centralized, single-hop ad hoc and cooperative relay in an autonomous and flexible way. This self-adaptive switching can deal with physical breakdown and invalid communication link due to great distance or spectrum heterogeneity, and enhance the network robustness thereby. The work patterns of each architecture and the switching scheme between them were demonstrated, and theoretical switching time was also calculated. Moreover, a testbed based on GNU Radio and USRPs was set up to test its performance including switching time and throughput. Testing results prove the effectiveness of the technology.