Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Poisson's And Laplace's Equation01:25

Poisson's And Laplace's Equation

3.5K
The electric potential of the system can be calculated by relating it to the electric charge densities that give rise to the electric potential. The differential form of Gauss's law expresses the electric field's divergence in terms of the electric charge density.
3.5K
Propagation Speed of Electromagnetic Waves01:30

Propagation Speed of Electromagnetic Waves

4.1K
Electromagnetic waves are consistent with Ampere's law. Assuming there is no conduction current Ampere's law is given as:
4.1K
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

128
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
128
Mesh Analysis for AC Circuits01:12

Mesh Analysis for AC Circuits

434
In the domain of radio communication, the significance of impedance matching must be considered. It is crucial to ensure the efficient transmission of signals between radio transmitters and receivers. Achieving this balance involves using impedance-matching circuits, with one fundamental configuration comprising a resistor, capacitor, and inductor.
The process of harmonizing these impedances begins with a clear understanding of the input and output signals. Once these signals are known, the...
434

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Button-Type Beam Position Monitor Development for Fourth-Generation Synchrotron Light Sources: Numerical Modeling and Test Bench Measurements.

Sensors (Basel, Switzerland)·2024
Same author

Energy-Constrained Design of Joint NOMA-Diversity Schemes with Imperfect Interference Cancellation.

Sensors (Basel, Switzerland)·2021
Same author

Gaussian Approach for the Synthesis of Periodic and Aperiodic Antenna Arrays: Method Review and Design Guidelines.

Sensors (Basel, Switzerland)·2021
Same author

Geometrical Synthesis of Sparse Antenna Arrays Using Compressive Sensing for 5G IoT Applications.

Sensors (Basel, Switzerland)·2020

Related Experiment Video

Updated: Sep 29, 2025

Using Microwave and Macroscopic Samples of Dielectric Solids to Study the Photonic Properties of Disordered Photonic Bandgap Materials
10:35

Using Microwave and Macroscopic Samples of Dielectric Solids to Study the Photonic Properties of Disordered Photonic Bandgap Materials

Published on: September 26, 2014

12.4K

3D Poisson-Based Neighborhood Capacity Analysis for Millimeter Wave Communications.

Massimiliano Comisso1, Giulia Buttazzoni1, Stefano Pastore1

  • 1Department of Engineering and Architecture, University of Trieste, Via A. Valerio 10, 34127 Trieste, Italy.

Sensors (Basel, Switzerland)
|March 26, 2022
PubMed
Summary
This summary is machine-generated.

This study models millimeter wave (mmWave) link capacity in 3D networks using a Poisson point process. The model accounts for arbitrary destination locations and realistic propagation, offering insights into network performance.

Keywords:
3D analysisPoisson point processlink capacitymillimeter wavesneighbor order

More Related Videos

Continuous-Wave Propagation Channel-Sounding Measurement System - Testing, Verification, and Measurements
09:36

Continuous-Wave Propagation Channel-Sounding Measurement System - Testing, Verification, and Measurements

Published on: June 25, 2021

3.2K
Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band
06:43

Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band

Published on: May 2, 2018

7.1K

Related Experiment Videos

Last Updated: Sep 29, 2025

Using Microwave and Macroscopic Samples of Dielectric Solids to Study the Photonic Properties of Disordered Photonic Bandgap Materials
10:35

Using Microwave and Macroscopic Samples of Dielectric Solids to Study the Photonic Properties of Disordered Photonic Bandgap Materials

Published on: September 26, 2014

12.4K
Continuous-Wave Propagation Channel-Sounding Measurement System - Testing, Verification, and Measurements
09:36

Continuous-Wave Propagation Channel-Sounding Measurement System - Testing, Verification, and Measurements

Published on: June 25, 2021

3.2K
Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band
06:43

Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band

Published on: May 2, 2018

7.1K

Area of Science:

  • Wireless Communications
  • Stochastic Geometry
  • Telecommunications Engineering

Background:

  • Millimeter wave (mmWave) communication is crucial for high-bandwidth wireless systems.
  • Existing models often assume fixed node distributions and simplified propagation.
  • Understanding link capacity in dense, 3D deployments is essential for future networks.

Purpose of the Study:

  • To develop a theoretical model for evaluating mmWave source-destination link capacity.
  • To analyze link performance for arbitrary destination locations in a 3D homogeneous Poisson point process network.
  • To investigate the impact of various parameters on link capacity in realistic propagation environments.

Main Methods:

  • A theoretical framework based on a 3D homogeneous Poisson point process for node distribution.
  • Inclusion of realistic propagation effects: path loss, shadowing, and link states (LoS, nLoS, outage).
  • Derivation of closed-form capacity formulas validated by Monte Carlo simulations.

Main Results:

  • The model provides accurate, closed-form expressions for mmWave link capacity.
  • Analysis reveals the influence of node intensity, antenna gain, and frequency band on capacity.
  • Performance evaluation is possible for any neighbor order, accommodating arbitrary destination placements.

Conclusions:

  • The proposed model offers a comprehensive approach to mmWave link capacity analysis in 3D stochastic networks.
  • It provides valuable insights for designing and optimizing future wireless systems operating in mmWave frequencies.
  • The model's flexibility in handling arbitrary node distributions and realistic propagation enhances its practical applicability.