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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…

Information Theory · Computer Science 2016-10-06 Jeffrey G. Andrews , Abhishek K. Gupta , Harpreet S. Dhillon

In this paper we develop a tractable framework for SINR analysis in downlink heterogeneous cellular networks (HCNs) with flexible cell association policies. The HCN is modeled as a multi-tier cellular network where each tier's base stations…

Information Theory · Computer Science 2016-11-18 Han-Shin Jo , Young Jin Sang , Ping Xia , Jeffrey G. Andrews

This paper presents a tractable model for analyzing non-coherent joint transmission base station (BS) cooperation, taking into account the irregular BS deployment typically encountered in practice. Besides cellular-network specific aspects…

Information Theory · Computer Science 2014-09-22 Ralph Tanbourgi , Sarabjot Singh , Jeffrey G. Andrews , Friedrich K. Jondral

Satellite networks are promising to provide ubiquitous and high-capacity global wireless connectivity. Traditionally, satellite networks are modeled by placing satellites on a grid of multiple circular orbit geometries. Such a network…

Information Theory · Computer Science 2022-08-10 Jeonghun Park , Jinseok Choi , Namyoon Lee

Cellular networks are in a major transition from a carefully planned set of large tower-mounted base-stations (BSs) to an irregular deployment of heterogeneous infrastructure elements that often additionally includes micro, pico, and…

Information Theory · Computer Science 2016-11-18 Harpreet S. Dhillon , Radha Krishna Ganti , Francois Baccelli , Jeffrey G. Andrews

Statistical characterization of the signal-to-interference-plus-noise ratio (SINR) via its cumulative distribution function (CDF) is ubiquitous in a vast majority of technical contributions in the area of cellular networks since it boils…

Information Theory · Computer Science 2017-06-05 Imène Trigui , Sofiène Affes , Ben Liang

The interference management technique that treats interference as noise (TIN) is optimal when the interference is sufficiently low. Scheduling algorithms based on the TIN optimality condition have recently been proposed, e.g., for…

Information Theory · Computer Science 2018-07-03 Mudasar Bacha , Marco Di Renzo , Bruno Clerckx

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…

Networking and Internet Architecture · Computer Science 2014-01-17 Holger Paul Keeler , Bartlomiej Blaszczyszyn , Mohamed Kadhem Karray

This paper presents a tutorial on stochastic geometry (SG) based analysis for cellular networks. This tutorial is distinguished by its depth with respect to wireless communication details and its focus on cellular networks. The paper starts…

Information Theory · Computer Science 2016-11-15 Hesham ElSawy , Ahmed Sultan-Salem , Mohamed-Slim Alouini , Moe Z. Win

This paper provides the signal-to-interference-plus-noise ratio (SINR) complimentary cumulative distribution function (CCDF) and average data rate of the normalized SNR-based scheduling in an uplink cellular network using stochastic…

Information Theory · Computer Science 2018-02-08 Shotaro Kamiya , Koji Yamamoto , Seong-Lyun Kim , Takayuki Nishio , Masahiro Morikura

This paper proposes a stochastic geometry framework to analyze the SINR and rate performance in a large-scale uplink massive MIMO network. Based on the model, expressions are derived for spatial average SINR distributions over user and base…

Information Theory · Computer Science 2016-04-05 Tianyang Bai , Robert W. Heath

In this paper we provide an analytic framework for computing the expected downlink coverage probability, and the associated data rate of cellular networks, where base stations are distributed in a random manner. The provided expressions are…

Information Theory · Computer Science 2016-05-27 Akram Al-Hourani , Sithamparanathan Kandeepan

Cell-free (CF) massive multiple-input multiple-output (mMIMO) has been considered as a potential technology for Beyond 5G communication systems. However, the performance of CF mMIMO systems has not been well studied. Most existing…

Information Theory · Computer Science 2023-10-06 Baolin Chong , Fengqian Guo , Hancheng Lu , Langtian Qin

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…

Information Theory · Computer Science 2017-10-03 Chang-Sik Choi , Jae Oh Woo , Jeffrey G. Andrews

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)…

Information Theory · Computer Science 2014-06-12 Martin Haenggi

Cellular uplink analysis has typically been undertaken by either a simple approach that lumps all interference into a single deterministic or random parameter in a Wyner-type model, or via complex system level simulations that often do not…

Information Theory · Computer Science 2016-11-17 Thomas D. Novlan , Harpreet S. Dhillon , Jeffrey G. Andrews

Millimeter-wave (mmWave) bands will play an important role in 5G wireless systems. The system performance can be assessed by using models from stochastic geometry that cater for the directivity in the desired signal transmissions as well as…

Networking and Internet Architecture · Computer Science 2019-01-25 Mattia Rebato , Jihong Park , Petar Popovski , Elisabeth De Carvalho , Michele Zorzi

In this paper, we consider the downlink signal-to-interference-plus-noise ratio (SINR) analysis in a heterogeneous cellular network with K tiers. Each tier is characterized by a base-station (BS) arrangement according to a homogeneous…

Information Theory · Computer Science 2016-11-18 Prasanna Madhusudhanan , Juan G. Restrepo , Youjian , Liu , Timothy X. Brown

Random spatial models are attractive for modeling heterogeneous cellular networks (HCNs) due to their realism, tractability, and scalability. A major limitation of such models to date in the context of HCNs is the neglect of network traffic…

Information Theory · Computer Science 2016-11-18 Harpreet S. Dhillon , Radha Krishna Ganti , Jeffrey G. Andrews

It is expected that 5G/6G networks will exploit sub-6 GHz, millimetre wave (mmWave) and terahertz (THz) frequency bands simultaneously and will increase flexibility in user equipment (UE)-cell association. In this paper, we introduce a…

Information Theory · Computer Science 2024-09-13 Yunbai Wang , Chen Chen , Xiaoli Chu
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