QoS scheduling for IEEE 802.16e mesh mode using Genetic Algorithms

N. Krichene, N. Boudriga
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Abstract

IEEE 802.16e amendments for the mesh mode do not specify particular QoS mechanisms. However, each Mesh Subscriber Station (MSS) transmits its own traffic and forwards the traffic of its children while each traffic flow has its particular QoS constraints. As all forwarded traffics use the same link, one MSS may experience starvation or act selfishly. Besides, the MSS's mobility adds important complexity as all the affected flows need to be re-routed, re-admitted and re-scheduled while respecting their original QoS requirements. In this paper, we adopt the concept of assigning five virtual nodes to each MSS reflecting the five QoS classes of IEEE 802.16e and we propose scheduling the uplink transmissions of the real-time Polling Service (rtPS) traffic class by adopting the Genetic Algorithms concept. We define the priority assigner component which communicates with the scheduler of the mesh BS in order to set and update flows' priority and we optimize the time spent by a flow in the queue while implementing the mobility constraints within the mutation function.
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基于遗传算法的IEEE 802.16e mesh模式QoS调度
针对mesh模式的IEEE 802.16e修订没有指定特定的QoS机制。然而,每个Mesh Subscriber Station (MSS)传输自己的业务并转发其子业务,而每个业务流都有其特定的QoS约束。由于所有转发的流量都使用同一链路,因此一个MSS可能会遇到饥饿或自私的行为。此外,MSS的移动性增加了重要的复杂性,因为所有受影响的流需要在尊重其原始QoS需求的同时重新路由、重新接收和重新调度。在本文中,我们采用了为每个MSS分配5个虚拟节点的概念,反映了IEEE 802.16e的5个QoS类,我们提出了采用遗传算法的概念来调度实时轮询服务(rtPS)流量类的上行传输。我们定义了优先级分配器组件,该组件与mesh BS的调度程序通信,以设置和更新流的优先级,并优化了流在队列中花费的时间,同时在突变函数中实现了移动性约束。
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Brief contents Cooperative approach to self-managed VANETs Managing ‘train-to-earth’ heavy communications: A middleware software to manage broadband wireless communications in the railway scope QoS scheduling for IEEE 802.16e mesh mode using Genetic Algorithms Automatic context detection of a mobile user
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