Research On Key Technology Of Radio Resource Management In Vehicle Networking

The concept of the IoT has rapidly gained worldwide momentum since it~was first introduced in 1999.Therefore,IoT is also hailed as the third wave of information development after communications,computers and the Internet.As one of the most important applications of IoT,IoV became a research hot spot in the academic field after it was put forward in 2005.Vehicle networking highly integrated vehicle engineering with communication engineering and network technology.It is the theoretical basis for implementing ITS.The traditional wireless resource management mainly includes access control,resource allocation,power control,information feedback,and load balancing.The inevitable trend of the development of wireless networks is that of isomerization.In a heterogeneous network,a radio resource management solution needs to coordinate different access resources,adapt to different protocols,and provide cross-service QoS(Quality of Service)guarantees,in order to achieve the goal of maximizing system capacity.However,the current resource management solutions do not have strong adaptability to the dynamic distribution of terminals.The traditional radio resource management solutions can not be directly applied to the emerging car networking scenarios.In this paper,the research on Radio Resource Management(RRM)under car networking is carried out.The main work is as follows:First of all,according to the V2V scenario,a random selection algorithm based on carrier sense and a location-based time division algorithm are proposed to improve the reuse rate of the time-frequency resource and the overall packet arrival rate of the system.The simulation results show that these two resource allocation algorithms are suitable for different scenarios,and their packet arrival rate performance is about 10%higher than the random selection algorithm as the reference scheme.Secondly,according to the V2I scenario,a geographic location-based clustering strategy,a resource reservation mechanism,and a collision avoidance mechanism are introduced successively to reduce the frequency interference between vehicles while improving the reuse rate of time-frequency resources.Based on this,a clustering-based polling scheduling algorithm,clustering-based time-sharing algorithm and clustering-based intercluster competition algorithm are proposed.The simulation results show that the clustering-based time-division algorithm is suitable for scenarios with high reliability and low latency requirements,and the packet arrival rate reaches more than 90%.The clustering-based intercluster competition algorithm is suitable for moderate reliability and high latency requirements.Finally,a V2X system-level vehicle networking simulation platform is built,which involves multiple functional units,including geographic topology and propagation unit,wireless resource management unit,routing unit,business model and control unit.Each unit is interface-oriented and uses decoupling and IoC containers to decouple those functional units,grooming and simplifying platform configuration,and improving usability and scalability of the platform.