低轨卫星通信基于波束跳变和时隙聚合的多维资源分配控制策略研究

Research on Multi-dimensional Resource Allocation Control Strategy Based on Beam Hopping and Time Slot Aggregation for Low Earth Orbit Satellite Communication

摘要:

为解决低轨卫星高动态特性、业务请求动态不均及信道环境复杂多变带来的资源调度难题,提升低轨卫星通信系统性能,对低轨卫星通信系统多维信道资源调度进行了研究；基于波束跳变和时隙聚合技术,提出一种高效多维资源分配策略,将复杂多维资源分配问题分解为三部分,综合衡量每个位置区的数据量、缓存时延及信道状态三个指标,采用量化评估方法计算KPI值并对位置区进行优先级排序,通过贪婪算法确定跳波束图案及不同波束的时隙等级,提出改进遗传算法对带宽和功率资源进行联合优化,引入干扰聚类和时隙重组技术,将同时隙位置区聚类为无干扰簇以降低干扰及算法复杂度；仿真测试表明,该策略在系统传输能力和传输时延等方面均有较好提升；该策略能适应低轨卫星通信环境,在业务需求分布不均及信道环境复杂多变情况下均表现良好,可有效填补低轨卫星多维资源高效调度的技术空白。

Abstract:

To solve the resource scheduling problems caused by the high dynamic characteristics of low-orbit satellites, the dynamic and uneven distribution of service requests, and the complex and changeable channel environment, and to improve the performance of low-orbit satellite communication systems, the multi-dimensional channel resource scheduling of low-orbit satellite communication systems was studied; based on beam hopping and time slot aggregation technologies, an efficient multi-dimensional resource allocation strategy was proposed, which decomposes the complex multi-dimensional resource allocation problem into three parts, comprehensively measures three indicators including data volume, cache delay and channel state of each location area, uses a quantitative evaluation method to calculate KPI values and sorts the priority of location areas, determines the beam hopping pattern and time slot levels of different beams through a greedy algorithm, proposes an improved genetic algorithm to jointly optimize bandwidth and power resources, and introduces interference clustering and time slot reorganization technologies to cluster simultaneous time slot location areas into interference-free clusters to reduce interference and algorithm complexity; simulation tests show that the strategy has good improvements in system transmission capacity and transmission delay; the strategy can adapt to the low-orbit satellite communication environment, perform well under the conditions of uneven distribution of service requirements and complex and changeable channel environment, and can effectively fill the technical gap in efficient multi-dimensional resource scheduling of low-orbit satellites.