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Open AccessJournal ArticleDOI

The Meta Distribution of the SIR in Poisson Bipolar and! Cellular Networks

Martin Haenggi
- 01 Apr 2016 - 
- Vol. 15, Iss: 4, pp 2577-2589
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TLDR
In this paper, the meta distribution of the SIR is derived for Poisson bipolar and cellular networks with Rayleigh fading, and a simple approximation for it is provided for the point process.
Abstract
The calculation of the SIR distribution at the typical receiver (or, equivalently, the success probability of transmissions over the typical link) in Poisson bipolar and cellular networks with Rayleigh fading is relatively straightforward, but it only provides limited information on the success probabilities of the individual links This paper focuses on the meta distribution of the SIR, which is the distribution of the conditional success probability $P_{\rm{ s}}$ given the point process, and provides bounds, an exact analytical expression, and a simple approximation for it The meta distribution provides fine-grained information on the SIR and answers questions such as “What fraction of users in a Poisson cellular network achieve 90% link reliability if the required SIR is 5 dB?” Interestingly, in the bipolar model, if the transmit probability $p$ is reduced while increasing the network density $\lambda$ such that the density of concurrent transmitters $\lambda p$ stays constant as $p\rightarrow 0$ , $P_{\rm{ s}}$ degenerates to a constant, ie, all links have exactly the same success probability in the limit, which is the one of the typical link In contrast, in the cellular case, if the interfering base stations are active independently with probability $p$ , the variance of $P_{\rm{ s}}$ approaches a non-zero constant when $p$ is reduced to 0 while keeping the mean success probability constant

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Channel Hardening and Favorable Propagation in Cell-Free Massive MIMO With Stochastic Geometry

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References
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A Tractable Approach to Coverage and Rate in Cellular Networks

TL;DR: The proposed model is pessimistic (a lower bound on coverage) whereas the grid model is optimistic, and that both are about equally accurate, and the proposed model may better capture the increasingly opportunistic and dense placement of base stations in future networks.
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Stochastic Geometry for Wireless Networks

TL;DR: This rigorous introduction to stochastic geometry will enable you to obtain powerful, general estimates and bounds of wireless network performance and make good design choices for future wireless architectures and protocols that efficiently manage interference effects.
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Interference in Large Wireless Networks

TL;DR: For certain classes of node distributions, most notably Poisson point processes, and attenuation laws, closed-form results are available, for both the interference itself as well as the signal-to-interference ratios, which determine the network performance.
Journal ArticleDOI

An Aloha protocol for multihop mobile wireless networks

TL;DR: An Aloha-type access control mechanism for large mobile, multihop, wireless networks is defined and analyzed and it can be implemented in a decentralized way provided some local geographic information is available to the mobiles.
Journal ArticleDOI

Note on the inversion theorem

J. Gil-Pelaez
- 01 Dec 1951 - 
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