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In this paper, we provide an analytical framework to analyze heterogeneous downlink mmWave cellular networks consisting of K tiers of randomly located base stations (BSs) where each tier operates in a mmWave frequency band.…

Information Theory · Computer Science 2017-04-05 Esma Turgut , M. Cenk Gursoy

The performance of linear receivers in the presence of co-channel interference in Rayleigh channels is a fundamental problem in wireless communications. Performance evaluation for these systems is well-known for receive arrays where the…

Information Theory · Computer Science 2016-11-17 Dushyantha A. Basnayaka , Peter J. Smith , Philippa A. Martin

We study the behavior of epidemic routing in a delay tolerant network as a function of node density. Focusing on the probability of successful delivery to a destination within a deadline (PS), we show that PS experiences a phase transition…

Networking and Internet Architecture · Computer Science 2020-02-13 Leila Rashidi , Don Towsley , Arman Mohseni-Kabir , Ali Movaghar

The noncoherent capacity of stationary discrete-time fading channels is known to be very sensitive to the fine details of the channel model. More specifically, the measure of the support of the fading-process power spectral density (PSD)…

Information Theory · Computer Science 2012-06-29 Giuseppe Durisi , Veniamin I. Morgenshtern , Helmut Bölcskei

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

This paper investigates the downlink performance of K-tier heteregeneous cellular networks (HCNs) under general settings. First, Gaussian approximation bounds for the standardized aggregate wireless interference (AWI) in dense K-tier HCNs…

Information Theory · Computer Science 2018-03-28 Serkan Ak , Hazer Inaltekin , H. Vincent Poor

Convolutional Neural Network (CNN) have been widely used in image classification. Over the years, they have also benefited from various enhancements and they are now considered as state of the art techniques for image like data. However,…

Computer Vision and Pattern Recognition · Computer Science 2022-06-06 Thomas Gonzalez , Antoine Blais , Nicolas Couëllan , Christian Ruiz

The support for aerial users has become the focus of recent 3GPP standardizations of 5G, due to their high maneuverability and flexibility for on-demand deployment. In this paper, probabilistic caching is studied for ultra-dense small-cell…

Signal Processing · Electrical Eng. & Systems 2020-03-31 Fei Song , Jun Li , Ming Ding , Long Shi , Feng Shu , Meixia Tao , Wen Chen , H. Vincent Poor

We introduce the fluctuating Line-of-Sight (fLoS) fading model, characterized by parameters $K$, $k$, $\lambda$, and $\Omega$. The fLoS fading distribution is expressed in terms of the multivariate confluent hypergeometric functions…

Information Theory · Computer Science 2024-08-02 Thanh Luan Nguyen , Georges Kaddoum

The analyses of cellular network performance based on stochastic geometry generally ignore the traffic dynamics in the network. This restricts the proper evaluation and dimensioning of the network from the perspective of a mobile operator.…

Information Theory · Computer Science 2018-10-12 Gourab Ghatak , Antonio De Domenico , Marceau Coupechoux

We investigate network performance of ultra-dense heterogeneous networks (HetNets) and study the maximum energy-efficient base station (BS) deployment incorporating probabilistic non-line-of-sight (NLoS) and line-of-sight (LoS)…

Networking and Internet Architecture · Computer Science 2017-12-13 Bin Yang , Guoqiang Mao , Xiaohu Ge , Ming Ding , Xuan Yang

This paper investigates a natural generalization of the kappa-mu fading channel in which the line-of-sight (LOS) component is subject to shadowing. This fading distribution has a clear physical interpretation, good analytical properties and…

Information Theory · Computer Science 2024-10-30 J. F. Paris

In cellular communication systems, it is conventional to assume the absence of a line of sight (LoS) path between the users and their associated access points (APs). This assumption however becomes questionable in the context of recent…

Information Theory · Computer Science 2020-12-01 Sudarshan Mukherjee , Ribhu Chopra

In this paper, we investigate the impact of network densification on the performance in terms of downlink signal-to-interference (SIR) coverage probability and network area spectral efficiency (ASE). A sophisticated bounded dual-slope path…

Networking and Internet Architecture · Computer Science 2017-04-11 Yanpeng Yang , Jihong Park , Ki Won Sung

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

There have been a bulk of analytic results about the performance of cellular networks where base stations are regularly located on a hexagonal or square lattice. This regular model cannot reflect the reality, and tends to overestimate the…

Networking and Internet Architecture · Computer Science 2015-03-19 Seung Min Yu , Seong-Lyun Kim

Energy detection is a reliable non-coherent signal processing technology of spectrum sensing of cognitive radio networks, which thanks to its low complexity, no requirement of priori received information and fast sensing ability etc. Since…

Information Theory · Computer Science 2018-06-14 He Huang

In this paper, we study the performance of non-fading and Rayleigh fading ad hoc networks. We first characterize the distribution of the signal-to-interference-plus-noise ratio (SINR) through the Laplace transform of the inverted SINR for…

Information Theory · Computer Science 2015-09-15 Hieu Duy Nguyen , Sumei Sun

Capable of significantly reducing cell size and enhancing spatial reuse, network densification is shown to be one of the most dominant approaches to expand network capacity. Due to the scarcity of available spectrum resources, nevertheless,…

Information Theory · Computer Science 2017-07-04 Junyu Liu , Min Sheng , Kan Wang , Jiandong Li

Dense nets are an integral part of any classification and regression problem. Recently, these networks have found a new application as solvers for known representations in various domains. However, one crucial issue with dense nets is it's…

Machine Learning · Computer Science 2020-08-25 Gurpreet Singh , Soumyajit Gupta , Clint N. Dawson
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