Research On Resource Management Method Of Base Station System For Integrated Sensing And Communication

For the future 6G wireless communication system with intelligent connection of everything and multi-dimensional sensing,sensing and communication integration,as a key technology to achieve deep integration of sensing and communication,can effectively improve the system spectrum efficiency and information processing efficiency through highly coupled and collaborative information processing technology of software and hardware.Due to the need for higher accuracy sensing and higher speed communication,millimeter wave frequency band needs to be developed to ensure the performance of sensing and communication.However,for the differentiated needs of millimeter wave base station system for sensing and communication in Telematics scenarios,how to efficiently utilize power and spectrum resources in resource-constrained scenarios is a challenge that needs to be addressed by the current sensing and communication integration technology.Therefore,this paper proposes a resource allocation method for sensing and communication integrated base station system under the constraint of sensing performance(range,speed,and angle)with the goal of improving the system communication rate and from the perspective of multidimensional resources to achieve the efficient utilization of multidimensional resources.The main contributions of this paper are as follows:(1)In the scenario of single base station with multi-vehicle communication,a sensory communication integrated multi-beam power allocation algorithm is proposed.Firstly,using millimeter wave beamforming technology,the distribution model of sensory communication integrated multibeam on the road is designed to achieve comprehensive coverage of the road,and parameters such as angle and coverage area of the multibeam are obtained.Further.the acquired beam parameters are used to model the inter-beam interference.Finally,the multibeam communication rate and range,speed and angle accuracy are analyzed,and a power distribution optimization problem with range,speed and angle accuracy as constraints and communication rate maximization as the optimization objective is established and solved by using the CVX tool.The simulation results show that the algorithm can effectively improve the communication rate of the system while satisfying the sensing accuracy.(2)In the scenario of single base station and multi-vehicle communication,a joint multi-beam power and subcarrier allocation algorithm for sensing and communication integration is proposed.Firstly,the multibeam mode is designed to achieve all-weather sensing of the road through the perception mode and integration mode.Then,the interference suppression is achieved by adjusting the subcarrier allocation for the interbeam interference situation.To further improve the sensing accuracy and communication rate,the power subcarrier joint optimization problem is proposed with the sensing accuracy as the constraint and maximizing the communication rate as the optimization objective.A convex optimization method is used to find the suboptimal power and subcarrier allocation,which significantly reduces the complexity of the algorithm.Compared with the traditional resource allocation algorithm and single power allocation algorithm,the communication rate and sensing accuracy of the system are significantly improved and inter-beam interference is effectively suppressed.(3)In the scenario of multi-base station-vehicle communication,the sensing communication integrated multi-base station power allocation algorithm is proposed.First,the multi-base station sensing communication protocol is designed to realize the collaboration between macro-base stations and micro-base stations.Secondly,for the multi-base station collaborative sensing,the sensing information needs to be fused so as to improve the sensing performance,therefore,the multi-base station sensingbased positioning accuracy model and speed measurement accuracy model are designed.Finally,considering the problem that the interference among base stations may lead to uneven resource allocation and thus affect the sensing and communication performance,a power allocation problem with the maximization of communication rate as the optimization objective and two fused sensing accuracies as the constraint is established,and the optimal solution is found using convex optimization.Simulation results show that the algorithm can quickly achieve efficient power allocation among base stations,which can further improve communication and sensing performance compared with traditional algorithms.Finally,this paper summarizes the research content and provides an outlook on future research and optimization directions.