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Energy-efficient resource allocation of wireless systems with statistical QoS requirement

机译:具有统计QoS要求的无线系统的节能资源分配

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This paper strives to improve the energy efficiency (EE) of wireless systems by resource allocation for delay sensitive traffic with the statistical quality of service (QoS) requirement, where a delay bound and a small violation probability is ensured. To avoid wasting energy when serving random traffic, we turn the QoS exponent, a key parameter to characterize statistical QoS guarantee under the framework of effective bandwidth and effective capacity, into a QoS function dependent on the queue length. A method to design queue length based resource allocation strategy is proposed, which maximizes the EE under the constraint on the QoS function. By taking an OFDM system serving Poisson source as an example, a closed form subcarrier allocation strategy with constant transmit power on each subcarrier is derived. Simulation and numerical results show that the EE achieved by the proposed strategy is much higher than the relevant strategies in the literature considering statistical QoS provision, and is very close to the EE upper bound achieved when the delay bound is infinite.
机译:本文致力于通过对统计敏感的服务质量(QoS)要求的延迟敏感流量进行资源分配来提高无线系统的能效(EE),其中保证了延迟范围和较小的违规概率。为了避免在为随机流量提供服务时浪费能量,我们将QoS指数(一个在有效带宽和有效容量框架下表征统计QoS保证的关键参数)转变为取决于队列长度的QoS函数。提出了一种基于队列长度的资源分配策略设计方法,该方法在QoS功能约束下将EE最大化。以服务于泊松源的OFDM系统为例,推导了在每个子载波上具有恒定发射功率的闭式子载波分配策略。仿真和数值结果表明,在考虑统计QoS规定的情况下,所提出的策略所获得的EE远高于文献中的相关策略,并且非常接近当延迟边界为无限时所达到的EE上限。

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