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Performance Analysis for Wireless Stochastic Networks With Dynamic Traffic and Packet Retransmission

机译:具有动态流量和数据包重传的无线随机网络性能分析

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摘要

In this paper, we analyze the system performance of a stochastic network, which is in the stationary state. Different from previous full-loaded assumptions that base stations (BSs) are always transmitting signals, which overestimates the inter-cell interference (ICI), dynamic traffic is considered in our model and BSs can be silent in some time slots. Packet retransmission is adopted, which brings a coupled relationship between the outage probability and the buffer empty probability. That is, as the outage probability increases, packets that are not successfully received will remain at the head of the buffer and be retransmitted until they are successfully received, which increases the proportion of active BSs and aggravates the ICI in turn. To better analyze this coupled relationship, the ICI is analyzed with the aid of the probability generating function and the Laplace transform. Then a queuing model is established to depict the packet arrival and departure processes. Some important system metrics, including the outage probability, the buffer empty probability, and the stable throughput region, are derived. Numerical results verify our theoretical analysis, and it is revealed that packet retransmission can enhance the system performance when the packet request rate is within the stable throughput region.
机译:在本文中,我们分析了随机网络的系统性能,这是静止状态。与以前的全负载假设不同,即基站(BSS)始终发送信号,这估计了小区间干扰(ICI),在我们的模型中考虑动态流量,BSS可以在某些时隙中静音。采用分组重传,从而在中断概率和缓冲器空概率之间带来耦合关系。也就是说,随着中断概率增加,未成功接收的数据包将保留在缓冲区的头部,并重新发送,直到成功接收到,这增加了有源BS的比例并依次加剧ICI。为了更好地分析该耦合关系,借助于概率产生函数和拉普拉斯变换来分析ICI。然后建立排队模型以描绘数据包到达和出发过程。导出了一些重要的系统度量,包括中断概率,缓冲空概率和稳定的吞吐量区域。数值结果验证了我们的理论分析,并且揭示了数据包重传当分组请求率在稳定的吞吐量区域内时提高系统性能。

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