Research On Resource Scheduling Based On UAV Sensing And Communication

With the arrival of 5G era,wireless access equipment will present an explosive increase.In millimeter wave frequency band,the hardware architecture,channel characteristics and signal processing methods of existing radar and communication system are very close.The integration of sensing and communication systems can not only realize efficient utilization of spectrum resources,but also deeply serve emerging 5G applications such as the Internet of Things and intelligent transportation.On the other hand,with the development of UAV platform toward miniaturization and low power consumption,the manufacturing cost is greatly reduced,and UAV is much more applied in the civil field.In the post-disaster emergency scenario,the UAV platform not only needs to perceive the environment to obtain data,but also complete transmission task with the communication user.Perceptual communication sensing technology can also be applied to detect and prevent potential threats of UAVs to the information security of ground users and equipment,and prevent collisions between UAV clusters.Therefore,this paper proposes the design and implementation of the integrated sensing communication system based on 5G millimeter wave UAV platform,and specifically discusses the realization of the integrated transmission of sensing communication signals through RSMA technology in the scenarios of static and dynamic UAV.In the sensing scenario where static UAV undertaking the roles of downlink communication and environment perception,a resource allocation algorithm is proposed to optimize UAV position,precoding matrix and RSMA rate allocation to maximize system energy efficiency.UAV,as a base station,can communicate with multiple users at the same time and send detection signals to the target.RSMA is used to manage interference and improve spectrum and energy efficiency.Under the conditions of satisfying UAV service quality,radar beam mode approximation error and UAV energy constraint,the problem is formed by jointly optimizing UAV static position,beam forming matrix and distribution vector of public signal to maximize energy efficiency.In order to solve the non-convex problem effectively,it is decomposed into UAV deployment sub-problem and waveform formation sub-problem.The SCA,DC,and Dinkelbach methods are firstly called in each iteration to transform the two sub-problems into convex optimization problems.Then,alternate algorithms are designed to solve nonlinear and non-convex problems,and the corresponding complexity is also analyzed.Finally,the simulation results show that the proposed RSMA assisted algorithm is superior to OMA and NOMA in power consumption and energy efficiency.In the scenario of periodic inspection by UAV,the resource scheduling problem of joint optimization of UAV trajectory and RSMA coding scheme in dynamic UAV network is proposed to maximize the information amount of joint transmission of communication and radar signals in cycle time.The corresponding iterative algorithm is proposed to solve the problem.This problem is a non-convex optimization problem,which is divided into two sub-problems.In the first sub-problem,the optimal trajectory scheme is obtained by variable substitution and SCA given the RSMA precoding matrix and public signal allocation.In the second sub-problem,based on the known trajectory of UAV,two solutions are proposed:the non-convex problem can be directly transformed by variable substitution and SCA,and the variable group can be iteratively optimized by the proposed WMMSE algorithm,and finally the RSMA coding scheme is obtained.Then,the two sub-problems are optimized alternately,and the output of the first sub-problem is used as the input of the second sub-problem until the target value converges,and finally the maximum throughput of the system is obtained.Finally,the convergence and effectiveness of the proposed resource allocation algorithm are verified by simulation.The simulation results show that the proposed algorithm has obvious gain compared with other schemes and can also improve the throughput of the system.