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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…

Information Theory · Computer Science 2016-11-15 Jeffrey G. Andrews , Francois Baccelli , Radha Krishna Ganti

In this paper, with the aid of the mathematical tool of stochastic geometry, we introduce analytical and computational frameworks for the distribution of three different definitions of delay, i.e., the time that it takes for a user to…

Information Theory · Computer Science 2021-12-28 Fadil Habibi Danufane , Marco Di Renzo

Traditional population estimation techniques often fail to capture the dynamic fluctuations inherent in urban and rural population movements. Recognizing the need for a high spatiotemporal dynamic population dataset, we propose a method…

Social and Information Networks · Computer Science 2025-09-09 Huan Ning , Zhenlong Li , Manzhu Yu , Shiyan Zhang , Shan Qiao

Modern pedestrian dead reckoning (PDR) systems rely on fusing noisy and biased estimates of position, velocity, and calibrated orientation derived from loosely coupled sensors to determine the current pose of a localized object. However,…

Machine Learning · Computer Science 2026-05-18 Peter Bauer , Andreas Porada , Felix Ott , Christopher Mutschler , Tobias Feigl

The growth of urban areas intensifies the need for sustainable, efficient transportation infrastructure and mobility systems, driving initiatives to enhance infrastructure and public transit while reducing traffic congestion and emissions.…

Physics and Society · Physics 2026-04-17 Oluwaleke Yusuf , Adil Rasheed , Frank Lindseth

The inclusion of the sensing functionality in the coming generations of cellular networks necessitates a rethink of dense cell deployments. In this paper, we analyze and optimize dense cell topologies for dual-functional radar-communication…

Information Theory · Computer Science 2023-08-29 Abdelhamid Salem , Kaitao Meng , Christos Masouros , Fan Liu , David López-Pérez

Wireless cellular networks have many parameters that are normally tuned upon deployment and re-tuned as the network changes. Many operational parameters affect reference signal received power (RSRP), reference signal received quality…

In coverage-oriented networks, base stations (BSs) are deployed in a way such that users at the cell boundaries achieve sufficient signal strength. The shape and size of cells vary from BS to BS, since the large-scale signal propagation…

Information Theory · Computer Science 2021-01-05 Ke Feng , Martin Haenggi

Sensing is an integral part of 6G and beyond systems, providing exceptional environmental perception along with communication. Radio frequency (RF)-based sensing often relies on simplified geometric assumptions (e.g., point scatterers or…

Signal Processing · Electrical Eng. & Systems 2026-05-19 Xuhong Li , Erik Leitinger , Fredrik Tufvesson , Florian Meyer

This study proposes an innovative approach to analyze spatial patterns of behavior by integrating information in weighted Voronoi diagrams. The objective of the research is to analyze the temporal distribution of an experimental subject in…

The density ratio of two probability distributions is one of the fundamental tools in mathematical and computational statistics and machine learning, and it has a variety of known applications. Therefore, density ratio estimation from…

Machine Learning · Statistics 2024-06-28 Masanari Kimura , Howard Bondell

In this paper, a new mathematical framework to the analysis of millimeter wave cellular networks is introduced. Its peculiarity lies in considering realistic path-loss and blockage models, which are derived from recently reported…

Information Theory · Computer Science 2016-11-15 Marco Di Renzo

For the last few years, the amount of data has significantly increased in the companies. It is the reason why data analysis methods have to evolve to meet new demands. In this article, we introduce a practical analysis of a large database…

Machine Learning · Statistics 2015-11-02 Romain Guigourès , Marc Boullé , Fabrice Rossi

Accurate estimation of the position of network nodes is essential, e.g., in localization, geographic routing, and vehicular networks. Unfortunately, typical positioning techniques based on ranging or on velocity and angular measurements are…

Information Theory · Computer Science 2016-11-17 Alessio De Angelis , Carlo Fischione

We present a decentralized path-planning algorithm for navigating multiple differential-drive robots in dense environments. In contrast to prior decentralized methods, we propose a novel congestion metric-based replanning that couples local…

Robotics · Computer Science 2022-02-24 Senthil Hariharan Arul , Dinesh Manocha

Competing cellular operators aggressively share infrastructure in many major US markets. If operators also were to share spectrum in next-generation millimeter-wave (mmWave) networks, intra-cellular interference will become correlated with…

Information Theory · Computer Science 2018-01-17 Rebal Jurdi , Abhishek K. Gupta , Jeffrey G. Andrews , Robert W. Heath

The advent of geolocated ICT technologies opens the possibility of exploring how people use space in cities, bringing an important new tool for urban scientists and planners, especially for regions where data is scarce or not available.…

The problem of geolocation of a transmitter via time difference of arrival (TDOA) and frequency difference of arrival (FDOA) is given as a system of polynomial equations. This allows for the use of homotopy continuation-based methods from…

Signal Processing · Electrical Eng. & Systems 2024-10-30 Karleigh J. Cameron , Daniel J. Bates

Analysis of line-of-sight and non-line-of-sight (LOS/NLOS) visibility conditions is an important aspect of wireless channel modeling. For statistical channel models the Monte Carlo simulations are usually used to generate spatially…

Information Theory · Computer Science 2020-05-06 Rimvydas Aleksiejunas

We present a method to capture groupings of similar calls and determine their relative spatial distribution from a collection of crime record narratives. We first obtain a topic distribution for each narrative, and then propose a nearest…

Machine Learning · Computer Science 2023-09-26 Jonathan Zhou , Sarah Huestis-Mitchell , Xiuyuan Cheng , Yao Xie
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