Analysis of stability and delay in Random-Access network modeled by poisson point process with queueing theory

Jinhyun Ahn, T. Sung, J. Park, Kwang-Eog Lee, Joonhyuk Kang
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Abstract

We consider a network that the transmitters are located as Poisson point process and each has its receiver at a given distance. Additionally, a packet arrives at the transmitter following Bernoulli distribution and departs with medium access probability. The success of transmission is only when the SINR is greater than a given threshold. In this situation, we improve the previous work by considering varying multi-traffic class and general kind of fading in the network. With these additional assumptions for practical situation, we investigate the stability condition, success probability, and the mean delay of a packet.
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用排队理论分析泊松点过程随机接入网络的稳定性和时延
考虑一个发射机为泊松点过程的网络,每个发射机在给定的距离上都有一个接收机。数据包遵循伯努利分布到达发射机,以中等访问概率离开发射机。只有当SINR大于给定阈值时,传输才会成功。在这种情况下,我们通过考虑网络中不同的多流量分类和一般类型的衰落来改进先前的工作。在这些附加的假设条件下,我们研究了数据包的稳定性条件、成功概率和平均延迟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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