Stochastic Geometry Analysis of Spatial-Temporal Performance in Wireless Networks: A Tutorial [PDF]
IEEE Communications Surveys and Tutorials, 2021 The performance of wireless networks is fundamentally limited by the aggregate interference, which depends on the spatial distributions of the interferers, channel conditions, and user traffic patterns (or queueing dynamics).
Xiao Lu +4 more
semanticscholar +1 more source
Nonhomogeneous Stochastic Geometry Analysis of Massive LEO Communication Constellations [PDF]
IEEE Transactions on Communications, 2021 Providing truly ubiquitous connectivity requires development of low Earth orbit (LEO) satellite Internet, whose theoretical study is lagging behind network-specific simulations.
N. Okati, T. Riihonen
semanticscholar +1 more source
Cooperative Satellite-Aerial-Terrestrial Systems: A Stochastic Geometry Model
IEEE Transactions on Wireless Communications, 2023 Nowadays, satellite and aerial platforms are playing an important role in realizing global seamless wireless coverage. In this paper, a cooperative satellite-aerial-terrestrial network (SATN) is considered, in which two kinds of relaying links, satellite
Zhe Song +6 more
semanticscholar +1 more source
Translational Psychiatry, 2022 Brodmann Area 46 (BA46) has long been regarded as a hotspot of disease pathology in individuals with schizophrenia (SCH) and major depressive disorder (MDD).
Nick Y. Larsen +9 more
doaj +1 more source
Performance Analysis of Satellite Communication System Under the Shadowed-Rician Fading: A Stochastic Geometry Approach [PDF]
IEEE Transactions on Communications, 2021 In this paper, we consider downlink low Earth orbit (LEO) satellite communication systems where multiple LEO satellites are uniformly distributed over a sphere at a certain altitude according to a homogeneous binomial point process (BPP).
D. Jung, J. Ryu, WooSub Byun, Junil Choi
semanticscholar +1 more source
Cellular 3D-reconstruction and analysis in the human cerebral cortex using automatic serial sections
Communications Biology, 2021 Nick Larsen et al. developed a pipeline to collect and image serial sections from fixed human cortex, then apply deep learning to detect pyramidal cells from 3D reconstructions of these sections.
Nick Y. Larsen +10 more
doaj +1 more source
Stochastic Geometry Analysis of IRS-Assisted Downlink Cellular Networks [PDF]
IEEE Transactions on Communications, 2021 Using stochastic geometry tools, we develop a comprehensive framework to analyze the downlink performance of various types of users (e.g., users served by direct base station (BS) transmissions and indirect intelligent reflecting surface (IRS)-assisted ...
Taniya Shafique, H. Tabassum, E. Hossain
semanticscholar +1 more source
Unbiased estimate of the epithelial cell number and epithelial cell nuclear volume in the bulbourethral (cowper) glands of holstein bulls - a stereological study [PDF]
Kafkas Universitesi Veteriner Fakültesi Dergisi, 2013 The bulbourethral gland (or Cowper"s gland) plays an important role for fertility. It is, therefore, essential to have quantitative data about the morphological and histomorphological structure of this gland in nonpathological conditions.
AKOSMAN MS +3 more
doaj +1 more source
Downlink Coverage and Rate Analysis of Low Earth Orbit Satellite Constellations Using Stochastic Geometry [PDF]
IEEE Transactions on Communications, 2020 As low Earth orbit (LEO) satellite communication systems are gaining increasing popularity, new theoretical methodologies are required to investigate such networks’ performance at large.
N. Okati +4 more
semanticscholar +1 more source
Orbits in a stochastic Schwarzschild geometry [PDF]
Physical Review D, 2019 REVTeX 23 pages, 20 ...
Casadio, Roberto +2 more
openaire +3 more sources