Separability, Asymptotics, and Applications of the SIR Meta Distribution in Cellular Networks
Separability, Asymptotics, and Applications of the SIR Meta Distribution in Cellular Networks
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DOI:
10.1109/twc.2020.2987563
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发表时间:
2020-04
影响因子:
10.4
通讯作者:
Ke Feng;M. Haenggi
中科院分区:
文献类型:
--
作者:
Ke Feng;M. Haenggi
The signal-to-interference-ratio (SIR) meta distribution (MD) characterizes the link performance in interference-limited wireless networks: it evaluates the fraction of links that achieve an SIR threshold $\theta $ with a reliability above $x$ . In this work, we show that in Poisson networks, for any independent fading and power-law path loss with exponent $\alpha $ , the SIR MD can be expressed as the product of $\theta ^{-2/\alpha }$ and a function of $x$ when $(\theta,x)$ is in the so-called “separable region”. We show by simulation that the separable form serves as a good approximation of the SIR MD in Ginibre and triangular lattice networks when $\theta $ is chosen large enough. Given the quest for ultra-reliable transmission, we study the asymptotics of the SIR MD as $x\to 1$ for general cellular networks with Rayleigh fading. Finally, we apply our results to characterize the distribution of the link rate, where each link transmits with a rate satisfying a given reliability $x$ , and the asymptotic distribution of the local delay, defined as the number of transmissions needed for a message to be received successfully.