This thesis considers the problem of supporting traffic with elastic bandwidth requirements and hard end-to-end delay constraints in multi-hop wireless networks, with focus on source transmission rates and link data rates as the key resource allocation decisions. Specifically, the research objective is to develop a source rate control and scheduling strategy that guarantees bounded average end-to-end queueing delay and maximises the overall utility of all incoming traffic, using network utility maximisation framework. The network utility maximisation based approaches to support delay-sensitive traffic have been predominantly based on either reducing link utilisation, or approximation of links as M/D/1 queues. Both approaches lead to unpredictable transient behaviour of packet delays, and inefficient link utilisation under optimal resource allocation. On the contrary, in this thesis an approach is proposed where instead of hard delay constraints based on inaccurate M/D/1 delay estimates, traffic end-to-end delay requirements are guaranteed by proper forms of concave and increasing utility functions of their transmission rates. Specifically, an alternative formulation is presented where the delay constraint is omitted and sources’ utility functions are multiplied by a weight factor. The alternative optimisation problem is solved by a distributed scheduling algorithm incorporating a duality-based rate control algorithm at its inner layer, where optimal link prices correlate with their average queueing delays. The proposed approach is then realised by a scheduling algorithm that runs jointly with an integral controller whereby each source regulates the queueing delay on its paths at the desired level, using its utility weight coefficient as the control variable. Since the proposed algorithms are based on solving the alternative concave optimisation problem, they are simple, distributed and lead to maximal link utilisation. Hence, they avoid the limitations of the previous approaches. The proposed algorithms are shown, using both theoretical analysis and simulation, to achieve asymptotic regulation of end-to-end delay given the step size of the proposed integral controller is within a specified range.
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机译:本文考虑了在多跳无线网络中以弹性带宽需求和硬的端到端延迟约束来支持流量的问题,重点是将源传输速率和链路数据速率作为关键资源分配决策。具体来说,研究目标是使用网络效用最大化框架,开发一种源速率控制和调度策略,以保证有限制的平均端到端排队延迟,并使所有传入流量的总体效用最大化。支持延迟敏感流量的基于网络实用程序最大化的方法主要基于减少链路利用率或将链路近似为M / D / 1队列。两种方法都导致无法预测的数据包延迟瞬态行为,以及在最佳资源分配下链路利用率低下。相反,在本文中,提出了一种方法,代替基于不准确的M / D / 1延迟估计的硬延迟约束,可以通过适当形式的凹面传输及其增加的效用函数来保证业务端到端延迟需求费率。具体来说,提出了一种替代公式,其中省略了延迟约束,并将源的效用函数乘以权重因子。通过在其内层结合基于对偶性的速率控制算法的分布式调度算法解决了替代性优化问题,其中最优链路价格与其平均排队延迟相关。然后,通过与集成控制器一起运行的调度算法来实现所提出的方法,其中,每个源都使用其效用权重系数作为控制变量,将其路径上的排队延迟调节到所需水平。由于所提出的算法是基于解决替代凹面优化问题的,因此它们简单,分布式并且导致最大的链路利用率。因此,它们避免了先前方法的局限性。给出了所建议的算法,并使用理论分析和仿真进行了显示,以实现渐进式调节端到端延迟,前提是所提出的积分控制器的步长在指定范围内。
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