An Optimal Algorithm for Time-Slot Assignment in SS/TDMA Satellite Systems

Xili Wan, Feng Shan, Xiaojun Shen
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引用次数: 6

Abstract

Packet scheduling in switches plays an important role in providing guaranteed service to meet Quality-of-Service (QoS) requirements. In this paper, we revisit a historical Maximum Traffic Time-slot Scheduling (MTTS) problem for both circuit- and packet-switched traffic in SS/TDMA satellite systems proposed two decades ago by Bonuccelli et al.. They developed a two-step approach to solve the MTTS problem, which scheduled the circuit-switched traffic first into TDMA frames and then inserted packets from packet-switched traffic into empty slots in these scheduled TDMA frames as many as possible. This problem was referred as Incremental Time-slot Assignment (ITSA) Problem in their paper, and was proved to be NP-hard. Therefore, MTTS problem seems to be NP-hard due the the NP-hardness of ITSA problem induced by their two-step approach. However, in this paper, we show that MTTS problem is NOT NP-hard, since there exists an optimal algorithm for this problem. By aggregating the traffic in scheduled TDMA frames, an optimal algorithm based on network flow method is developed for MTTS problem, which can solve the MTTS problem in polynomial time. Theoretic proof for the optimality of our algorithm is given and simulations results further validate the correctness of our algorithm.
SS/TDMA卫星系统时隙分配的优化算法
交换机的分组调度在提供有保障的服务以满足QoS (Quality-of-Service)要求方面起着重要作用。在本文中,我们重新审视了20年前由Bonuccelli等人提出的SS/TDMA卫星系统中电路和分组交换业务的历史最大流量时隙调度(MTTS)问题。他们开发了一种两步法来解决MTTS问题,首先将电路交换的流量调度到TDMA帧中,然后将数据包从分组交换的流量中插入到这些调度的TDMA帧中的空槽中。该问题在他们的论文中被称为增量时隙分配(ITSA)问题,并被证明是np困难的。因此,MTTS问题似乎是np困难的,因为他们的两步方法引起了ITSA问题的np困难。然而,在本文中,我们证明了MTTS问题不是np困难的,因为存在一个最优算法来解决这个问题。通过对调度TDMA帧内的流量进行聚合,提出了一种基于网络流法的MTTS问题优化算法,可在多项式时间内解决MTTS问题。理论证明了算法的最优性,仿真结果进一步验证了算法的正确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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