Beam hopping technology improves the resource utilization of the communication system by means of time slicing. However, the existing beam positions are relatively fixed and cannot change with the change of service requirements, and the more beams the beam hopping serves, the greater the queuing delay of the system. When multiple beams work at the same time, the same frequency interference can not be ignored. To solve the above problems, on the basis of beam position optimization, this paper further proposes a resource allocation algorithm that jointly optimizes the slot allocation and the hop beam pattern design. In order to maximize the system throughput, firstly, the phased array antenna can be beam shaped, and the appropriate size of beam position is configured according to the service requirements. Secondly, genetic algorithm is employed to design the hop pattern to avoid cochannel interference. By comparing the system performance parameters before and after the joint optimization, the simulation results show that the method can improve the system throughput and traffic satisfaction, and reduce the system queuing delay.