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QoS-oriented resource allocation for streaming flows in IEEE802.16e Mobile WiMAX

机译:IEEE802.16e移动WiMAX中针对流流的面向QoS的资源分配

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Users in OFDMA-based WiMAX are subject to Adaptive Modulation and Coding (AMC) which implies more robust and hence less frequency efficient modulation and coding for users experiencing bad radio conditions. When users are mobile, this implies lower throughput as they move away from the base station for instance. This may be acceptable for data users, but not for streaming ones which require a constant bit rate throughout the cell. We propose, in this work, a new QoS-oriented resource allocation strategy wherein streaming flows experiencing bad radio conditions are allocated more sub-carriers so as to keep their bit rate constant as they move around in the cell. The risk is however an increase in the dropping rate. To minimize the latter without increasing blocking too much, they are second subject to a state-dependent admission control scheme where the degree of acceptance depends on the density of the users in a given location. We develop an analytical model which allows us to derive some performance measures such as blocking and dropping probabilities. Our results quantify how these metrics vary with the load as well as the admission strategies.
机译:基于OFDMA的WiMAX中的用户会受到自适应调制和编码(AMC)的影响,这意味着对于经历恶劣无线电条件的用户而言,它的鲁棒性更高,因此频率效率更高的调制和编码方式也更容易。当用户处于移动状态时,这意味着当他们离开基站时,吞吐量会降低。对于数据用户而言,这可能是可接受的,但对于在整个小区中需要恒定比特率的流式用户而言,这是不可接受的。在这项工作中,我们提出了一种新的面向QoS的资源分配策略,其中,将遇到不良无线电条件的流流分配给更多子载波,以便在它们在小区中四处移动时保持其比特率恒定。但是,风险是下降率增加。为了使后者最小化而又不增加过多的阻塞,第二种方法是接受状态依赖的接纳控制方案,其中接受程度取决于给定位置中用户的密度。我们开发了一个分析模型,该模型允许我们得出一些性能指标,例如阻塞和掉落概率。我们的结果量化了这些指标如何随负载以及准入策略而变化。

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