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QoS-equilibrium slot allocation for beam hopping in broadband satellite communication systems

机译:宽带卫星通信系统中用于跳频的QoS均衡时隙分配

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摘要

In broadband satellite communication systems, beam hopping (BH) is more and more welcome to compensate the low-power-efficiency wide beam and the low-spectrum-efficiency multiple spot beams simultaneously. As a flexible coverage method, BH demands efficient hopping strategy to reach the desired quality of service (QoS). In this paper, we consider the QoS equilibrium, in particular the delay fairness, among different cells illuminated by one hopping beam through designing the hopping strategy on the condition of capacity satisfaction. Due to the physical limitation that hopping speed is much slower than packet arrival speed, the ideal first-come-first-serve packet scheduling is not realizable, which compels us to pursuit the optimal slot scheduling instead. In this paper, we consider a long-term delay fairness problem by per-period slot allocation for BH, using instantaneous and statistical information. To deal with the complex stochastic programming problem, we introduce the time-sharing principle to uncouple the variables and adopt stochastic gradient theory to deduce the suboptimal close-form solution. Our contributions are in three folds: firstly, it is the first time to consider the delay fairness not the traditional capacity fairness for BH; secondly, a general per-period decision scheme is proposed for the unique slot allocation in the perspective of queuing; thirdly, a suboptimal close-form solution for the per-period slot allocation is obtained, which could also cope with burst traffic cases. In simulation, we verify our method's advantage in terms of delay fairness comparing with the existing similar works.
机译:在宽带卫星通信系统中,越来越受欢迎的是波束跳跃(BH),以同时补偿低功率效率的宽波束和低频谱效率的多点波束。作为一种灵活的覆盖方法,BH需要有效的跳频策略才能达到所需的服务质量(QoS)。本文通过在容量满足条件下设计跳变策略,考虑了一个跳变光束照射的不同小区之间的QoS均衡,特别是时延公平性。由于跳频速度远慢于分组到达速度的物理限制,理想的先到先服务分组调度是无法实现的,这迫使我们不得不追求最佳的时隙调度。在本文中,我们使用瞬时和统计信息通过BH的每个时段的时隙分配来考虑长期延迟公平性问题。为了解决复杂的随机规划问题,我们引入了分时原理来解耦变量,并采用随机梯度理论推导了次优闭合形式的解。我们的贡献体现在三个方面:首先,这是第一次考虑延迟公平,而不是传统的BH容量公平。其次,从排队的角度出发,提出了一种通用的单周期时隙分配决策方案。第三,获得了针对每个时段时隙分配的次优封闭式解决方案,该解决方案还可以应对突发流量情况。在仿真中,与现有的类似作品相比,我们在延迟公平性方面证明了我们方法的优势。

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