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It has recently been observed that the SIR distributions of a variety of cellular network models and transmission techniques look very similar in shape. As a result, they are well approximated by a simple horizontal shift (or gain) of the…

信息论 · 计算机科学 2015-11-30 Radha K. Ganti , Martin Haenggi

Signal-to-noise-plus-interference ratio (SINR) outage probability is among one of the key performance metrics of a wireless cellular network. In this paper, we propose a semi-analytical method based on saddle point approximation (SPA)…

信息论 · 计算机科学 2017-05-03 Sudarshan Guruacharya , Hina Tabassum , Ekram Hossain

In this paper, we analyze the signal-to-interference-plus-noise ratio (SINR) performance at a mobile station (MS) in a random cellular network. The cellular network is formed by base-stations (BSs) placed in a one, two or three dimensional…

信息论 · 计算机科学 2015-03-13 Prasanna Madhusudhanan , Juan G. Restrepo , Youjian Liu , Timothy X Brown , Kenneth R. Baker

This tutorial is intended as an accessible but rigorous first reference for someone interested in learning how to model and analyze cellular network performance using stochastic geometry. In particular, we focus on computing the…

信息论 · 计算机科学 2016-10-06 Jeffrey G. Andrews , Abhishek K. Gupta , Harpreet S. Dhillon

Compared to the standard success (coverage) probability, the meta distribution of the signal-to-interference ratio (SIR) provides much more fine-grained information about the network performance. We consider general heterogeneous cellular…

信息论 · 计算机科学 2019-02-19 Sanket S. Kalamkar , Martin Haenggi

An almost ubiquitous assumption made in the stochastic-analytic study of the quality of service in cellular networks is Poisson distribution of base stations. It is usually justified by various irregularities in the real placement of base…

We propose a new cellular network model that captures both deterministic and random aspects of base station deployments. Namely, the base station locations are modeled as the superposition of two independent stationary point processes: a…

信息论 · 计算机科学 2017-10-03 Chang-Sik Choi , Jae Oh Woo , Jeffrey G. Andrews

We give numerically tractable, explicit integral expressions for the distribution of the signal-to-interference-and-noise-ratio (SINR) experienced by a typical user in the down-link channel from the k-th strongest base stations of a…

网络与互联网体系结构 · 计算机科学 2014-01-17 Holger Paul Keeler , Bartlomiej Blaszczyszyn , Mohamed Kadhem Karray

Outage probabilities in wireless networks depend on various factors: the node distribution, the MAC scheme, and the models for path loss, fading and transmission success. In prior work on outage characterization for networks with randomly…

信息论 · 计算机科学 2010-10-08 Riccardo Giacomelli , Radha Krishna Ganti , Martin Haenggi

The signal-to-noise-plus-interference ratio (SINR) outage probability is one of the key performance parameters of a wireless cellular network, and its analytical as well as numerical evaluation has occupied many researchers. Recently, the…

信息论 · 计算机科学 2016-07-26 Sudarshan Guruacharya , Hina Tabassum , Ekram Hossain

In the performance analyses of wireless networks, asymptotic quantities and properties often pro- vide useful results and insights. The asymptotic analyses become especially important when complete analytical expressions of the performance…

信息论 · 计算机科学 2016-11-16 Anjin Guo , Martin Haenggi , Radha Krishna Ganti

We consider stochastic cellular networks where base stations locations form a homogenous Poisson point process and each mobile is attached to the base station that provides the best mean signal power. The mobile is in outage if the SINR…

概率论 · 数学 2010-09-03 Laurent Decreusefond , Philippe Martins , Than-Tung Vu

In this paper, we present an analysis of the outage probability for fixed-gain amplify-and-forward (AF) multihop relay links operating in the high SNR regime. Our analysis exploits properties of Mellin transforms to derive an asymptotic…

信息论 · 计算机科学 2012-06-15 Justin P. Coon , Yue Wang , Gillian Huang

We introduce a simple yet powerful and versatile analytical framework to approximate the SIR distribution in the downlink of cellular systems. It is based on the mean interference-to-signal ratio and yields the horizontal gap (SIR gain)…

信息论 · 计算机科学 2014-06-12 Martin Haenggi

We consider a spatial stochastic model of wireless cellular networks, where the base stations (BSs) are deployed according to a simple and stationary point process on $\mathbb{R}^d$, $d\ge2$. In this model, we investigate tail asymptotics…

概率论 · 数学 2017-03-16 Naoto Miyoshi , Tomoyuki Shirai

Existing cellular network analyses, and even simulations, typically use the standard path loss model where received power decays like $\|x\|^{-\alpha}$ over a distance $\|x\|$. This standard path loss model is quite idealized, and in most…

信息论 · 计算机科学 2015-03-17 Xinchen Zhang , Jeffrey G. Andrews

Cellular networks are usually modeled by placing the base stations on a grid, with mobile users either randomly scattered or placed deterministically. These models have been used extensively but suffer from being both highly idealized and…

信息论 · 计算机科学 2016-11-15 Jeffrey G. Andrews , Francois Baccelli , Radha Krishna Ganti

Linear receivers offer a low complexity option for multi-antenna communication systems. Therefore, understanding the outage behavior of the corresponding SINR is important in a fading mobile environment. In this paper we introduce a large…

信息论 · 计算机科学 2012-09-17 Aris L. Moustakas , Pavlos Kazakopoulos

Mounting compact and lightweight base stations on unmanned aerial vehicles (UAVs) is a cost-effective and flexible solution to provide seamless coverage on the existing terrestrial networks. While the coverage probability in UAV-assisted…

信息论 · 计算机科学 2023-01-31 Minwei Shi , Kai Yang , Dusit Niyato , Hang Yuan , He Zhou , Zhan Xu

In many wireless systems, interference is the main performance-limiting factor, and is primarily dictated by the locations of concurrent transmitters. In many earlier works, the locations of the transmitters is often modeled as a Poisson…

信息论 · 计算机科学 2016-11-17 Radha Krishna Ganti , Jeffrey G. Andrews , Martin Haenggi
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