跳波束波位优化与干扰避免的跳变图案设计

Beam position optimization and interference avoidance hop pattern design for beam hopping

摘要:

跳波束技术利用时间分片的方式提高了通信系统的资源利用率，但现有的跳波束波位相对固定，不能随业务需求的变化而变化；且跳变波束服务的波束越多，系统排队时延越大；当多个波束同时工作时，同频干扰也不容忽视。对此，本文在波位优化的基础上，进一步提出一种将时隙分配与跳波束图案设计联合优化的资源分配算法。以最大化系统吞吐量为目标，首先利用相控阵天线可波束赋形的特点，根据业务需求，配置合适大小的波位；其次利用遗传算法对跳波束图案进行设计，从而避免共信道干扰。对比联合优化前后系统性能参数，结果表明，该方法能够提高系统吞吐量和业务满意度，降低系统排队时延。

Abstract:

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 co-channel 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.