Research On Multi-radio Channel Hopping Blind Rendezvous Technology For Cognitive Radio Networks

As people's communication needs continue to increase,spectrum heterogeneity and dynamic changes of spectrum resources have brought huge challenges to the development of communication industry,and cognitive wireless network technology arises at the historic moment.Before realizing communication,nodes in the network need to interact with control information.In the control information interaction mechanism of CH blind rendezvous,any two cognitive nodes can generate an independent CH sequence according to the CH algorithm and their own parameters and perform channel hopping according to the sequence.Compared with other control information interaction mechanisms,the control information interaction mechanism based on CH blind rendezvous has more outstanding advantages.On the one hand,it can effectively alleviate the blocking of authorized channel,and on the other hand,it has the ability to effectively resist the interference of main users and the ability to resist the tracking interference.In this paper,for the cognitive nodes equipped with multiple antennas in the cognitive wireless network,we design the channel hopping sequence generation rules which are suitable for the antenna isomorphism network and the antenna isomorphism network respectively.Since the main index to measure the CH sequence algorithm is to consider the maximum time interval experienced by the cognitive node to realize two blind rendezvous under or without the interference of the primary user,these are the performance indexes of MTTR and MCTTR in this paper.Therefore,designing a channel hopping algorithm with better MTTR and MCTTR performance is the main goal of this paper.Firstly,for the network environment with multiple antennas and isomorphic antennas,based on the relaxation cyclic difference set theory,this paper proposes a channel hopping sequence generation algorithm which is close to the theoretical lower bound in MTTR performance.Secondly,in view of the multiple antenna and heterogeneous network environment,this paper has a better performance of antenna isomorphism channel hopping algorithm is optimized to improve and poor based on set theory puts forward a applicable to the antenna heterogeneous network environment of channel hopping sequence generation rule,and the law can give full play of the advantage of cognitive nodes equipped with multiple antennas,as much as possible to shorten the use of the channel hopping sequence for communication between cognitive node can produce rendezvous time interval.In addition to the theoretical performance analysis of the CH sequence generation algorithm proposed in this thesis,the numerical calculation and performance comparison of the two CH sequence generation algorithms are also carried out based on MATLAB simulation software.The results show that the proposed CH sequence generation algorithm has better performance in terms of MTTR parameters than the existing CH blind aggregation algorithm with multiple antennas and isomorphic CH under the same applicable conditions.Compared with the multi-antenna and antenna heterogeneous CH blind rendezvous algorithm under the same applicable conditions,the CH sequence generation algorithm proposed in this thesis can also achieve smaller MTTR and more stable MCTTR performance advantages under different network scenarios,and thus achieve better communication effect.