Research On Computation And Communication Resource Allocation Of LEO Satellites And Ground Hybird Network Estimation

In recent years,with the continuous advancement of B5G and 6G research,the advantages of the low earth orbit(LEO)satellite communication system such as wide coverage,long communication distance,and freedom from geographical and weather conditions have been paid attention to.At the same time,the exponential growth of the number of mobile devices brought about by new application scenarios such as industrial Internet and automatic driving has put forward higher requirements for the network carrying capacity and stability.The LEO satellite communication system is increasingly regarded as an important supplement to the ground communication network system.Exploring the cooperation mode of satellite and ground hybrid network has become an important direction of future communication technology researchHowever,there are differences between LEO satellites and ground networks in terms of coverage,computing power and energy consumption.In order to achieve efficient cooperation between different networks,appropriate resource allocation algorithms need to be designed according to the task requirements of terminals to improve resource utilization efficiency.In this paper,two optimization indexes,namely,the overall energy efficiency of the hybrid network of LEO satellite and ground,and the relative improvement rate of the system delay and energy consumption during the task unloading,are considered respectively to optimize the access selection of terminals between heterogeneous networks,and the calculation and communication resource allocation between satellite and ground servers.The main contents of this paper are as follows:1)This paper introduces the research background and current situation of the LEO satellite communication system.By analyzing the signal propagation model and antenna gain of the LEO satellite,the coupling loss of the signal in the propagation process is obtained,and the interference of the ground network is modeled,and the SINR of the uplink and downlink is further obtained.By mapping SINR to throughput,the throughput loss between heterogeneous networks under different ACIR isolation degrees is obtained,and the feasibility of coexistence between LEO satellite communication system and ground network is demonstrated.2)Aiming at the overall energy efficiency optimization problem of the hybrid network of LEO satellite and ground,this paper designs a joint optimization algorithm of communication target and base station access selection and base station power allocation.In order to solve the proposed optimization problem,the energy efficiency optimization problem is divided into two sub-problems to solve separately.In this paper,the subproblem of access selection between communication target and base station is modeled as a one-to-many bilateral matching problem,and a selection algorithm between user and base station based on exchange matching is proposed;The power allocation subproblem is modeled as a non-fractional programming problem,and the non-convex power allocation problem is transformed into a convex problem,thus the optimal power allocation result is obtained.The two sub-algorithms realize the joint optimization of the association selection problem and the power allocation problem by alternating iteration,and obtain the suboptimal solution of the proposed optimization problem.Finally,the convergence and effectiveness of the proposed algorithm are proved by simulation.3)Aiming at the joint optimization problem of task unloading decision and resource allocation of hybrid low-orbit satellite and ground network,this paper models the unloading utility of each user as the weighted sum of task completion time and equipment energy consumption improvement,and describes the problem as a mixed integer nonlinear programming problem,and through derivation,The optimization problem is further decomposed into the problem of computing and communication resource allocation with fixed task offloading decision and the problem of task offloading decision optimization with fixed resource allocation strategy.The optimization algorithm is designed for the two sub-problems respectively to realize the joint optimization of terminal task offloading decision,uplink transmission power and server computing resources,and maximize the system offloading utility.Finally,the feasibility and effectiveness of the proposed algorithm are proved by simulation.