Results 211 to 220 of about 1,943,358 (273)

MIMO Assisted Networks Relying on Intelligent Reflective Surfaces: A Stochastic Geometry Based Analysis

IEEE Transactions on Vehicular Technology, 2022
Intelligent reflective surfaces (IRSs) are invoked for improving both the spectral efficiency (SE) and energy efficiency (EE). Specifically, an IRS-aided multiple-input multiple-output network is considered, where the performance of randomly roaming ...
Tianwei Hou, Yuanwei Liu, Zhengyu Song, Xin Sun, Yue Chen, L. Hanzo   +5 more
semanticscholar   +1 more source

Modeling and Analysis of mmWave UAV Swarm Networks: A Stochastic Geometry Approach

IEEE Transactions on Wireless Communications, 2022
In order to evaluate the impacts of swarm distribution characteristics of unmanned aerial vehicles (UAVs) and the complexity of millimeter wave (mmWave) propagations on the coverage performance of UAV networks, this paper develops a stochastic geometry ...
Xiaoming Shi, Na Deng
semanticscholar   +1 more source

A Stochastic Geometry Approach for Analyzing Uplink Performance for IoT-over-Satellite

ICC 2022 - IEEE International Conference on Communications, 2022
Recent satellite constellations are being deployed to serve massive numbers of wireless devices, especially targeting those located in rural and offshore settings. Accordingly, business models relying on data reported via wireless Internet-of-Things (IoT)
C. C. Chan, Bassel Al Homssi, A. Al-Hourani   +2 more
semanticscholar   +1 more source

Multi-UAV Enabled Aerial-Ground Integrated Networks: A Stochastic Geometry Analysis

IEEE Transactions on Communications, 2022
Multiple unmanned aerial vehicles (UAVs) can function as aerial base stations to provide flexible and reliable communication services for massive ground devices (GDs).
Shangwei Zhang, Yajie Zhu, Jiajia Liu
semanticscholar   +1 more source

Stochastic Geometry and Its Applications.

Journal of the American Statistical Association, 1988
23. Stochastic Geometry and its Applications. By D. Stoyan, W. S. Kendall and J. Mecke. ISBN 0 471 90519 4. Wiley, 1987. 345p. £23.50. (Wiley Series in Probability and Mathematical Statistics. A co‐production with Akademie‐Verlag, GDR.)
B. D. Ripley, D. Stoyan, W. S. Kendall, J. Mecke   +3 more
openaire   +4 more sources

Stochastic Geometry

1993
Publisher Summary This chapter discusses stochastic geometry. Random points are the simplest random objects in geometry. They can be used in different ways, to generate a great variety of random geometrical objects, and they have applications in several domains—for instance, in statistics, computer geometry, and pattern analysis.
Weil, Wolfgang, Wieacker, John Andre
openaire   +2 more sources

Stochastic Geometry-Based Uplink Performance Analysis of IoT Over LEO Satellite Communication

IEEE Transactions on Aerospace and Electronic Systems
More than ever, there is a need for a wholly connected era, particularly for the connectivity of Internet of Things (IoT) devices dispersed across a large geographic region, including all rural, remote areas lacking suitable terrestrial infrastructure ...
Anna Talgat, Mustafa A. Kishk, M. Alouini   +2 more
semanticscholar   +1 more source

Stochastic differential geometry

Russian Mathematical Surveys, 1983
The paper gives another exposition of what is now called ''Malliavin's stochastic calculus''. The approach is somewhat close to the Bismut's one. The results are extended to the case of diffusion processes on infinite dimensional smooth manifolds. This enables the author to construct certain quasi-invariant measures on infinite dimensional Lie groups ...
openaire   +2 more sources

Stochastic differential geometry: An introduction

Acta Applicandae Mathematicae, 1987
This is a survey on the relations between asymptotic properties of semi- martingales and, in particular, of Brownian motion on a Riemannian manifold on the one hand and curvature properties of the manifold on the other hand. Following a brief description of real-valued semimartingales and of some essentials of calculus on manifolds, an introduction to ...
openaire   +2 more sources

Models of stochastic geometry ? A survey

ZOR Zeitschrift f� Operations Research Methods and Models of Operations Research, 1993
Summary: This paper discusses some models of stochastic geometry which are of potential interest for operations research. These are the Boolean model, a certain model for random compact sets and marked point processes. The Boolean model is a generalization of the well-known queueing system \(M/G/\infty\).
Günter Lippmann, Dietrich Stoyan
openaire   +2 more sources