| The development of global informatization and the merging technology industry increases the requirements for the capacity and efficiency of satellite communication progressively.The payload of communication satellites has gradually developed from transparent transponder/global beam antenna to transparent transponder/multipoint beam antenna,and further developed towards the direction of processing transponder/multipoint beam antenna.The high-throughput satellite Asia Pacific 6D,which has been launched and put into use,has set up 90 user beams worldwide.However,there is no hinge between multipoint beams on the satellite,and the earth station between different beams must be forwarded through the central node(signal gate station).Asia Pacific Skycom has configured 8 signal gate stations in Beijing,Shenzhen and other areas,so that 90 spot beams in the world can be landed in China.The forward signal sent by the signal gate station gathers the business and control data of various business types and multi-service quality assurance requirements from stations in various beam areas and the ground network.Asynchronous Time Division Multiplexing(ATDM)is a common multiplexing method.After the ATDM system is adopted forward,the optimal or sub-optimal allocation and scheduling of resources in a certain optimization objective becomes a key problem.This paper takes the forward channel of the gate station in the very small aperture terminal satellite communication system as the research object,and proposes the resource allocation strategy of ATDM satellite communication system oriented to user priority.Aiming at the problem that the transmission capacity of the satellite communication system is limited by the forward channel,a user-priority ATDM channel resource allocation strategy based on the simulated annealing algorithm is proposed to improve the utilization rate of channel slot resources.Firstly,an adaptive cod-modulated ATDM channel slot allocation method is proposed.This method allocates slot resources to users on demand and supports variable rate services.At the same time,considered the different priorities of different users and taking user priority and system throughput as joint optimization objectives,an ATDM channel resource allocation algorithm based on simulated annealing algorithm was proposed.The simulation results show that the proposed strategy can ensure that the system preferentially transmits user data of high user priority and improve the throughput of the system.To improve the search ability of simulated annealing algorithm,reduce the search time,and improve the number of high-priority users served and system throughput in a single complex frame,a user priority ATDM channel resource allocation strategy based on joint optimization algorithm was proposed.Firstly,a stereotype sorting method is designed to generate the initial solution of the heuristic algorithm and reduce the search time of the algorithm.Then,a series of strategies such as reverse learning and dynamic wandering are used to improve the search ability of the simulated annealing algorithm.Finally,an improved simulated annealing genetic algorithm is combined with the genetic algorithm to allocate channel resources.Through simulation verification and comparative analysis,the optimization result of the proposed joint optimization algorithm is close to the optimal solution obtained by the traversal algorithm,which can ensure the system preferentially transmits high priority user data,and increase the number of users transmitted within a single complex frame,thus improving the system throughput. |
