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

Transmission Line Design Considerations01:23

Transmission Line Design Considerations

136
Aluminum has become the material of choice for overhead transmission lines, surpassing copper due to its abundance and cost-effectiveness. The most prevalent type is the aluminum conductor, steel-reinforced (ACSR), which combines aluminum strands around a steel core. Other variants include all-aluminum conductors (AAC), all-aluminum alloy conductors (AAAC), aluminum conductor alloy-reinforced (ACAR), and aluminum-clad steel conductors. Advanced designs, such as aluminum conductors with steel...
136
Mesh Analysis for AC Circuits01:12

Mesh Analysis for AC Circuits

377
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...
377
Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

116
The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.
116
Network Function of a Circuit01:25

Network Function of a Circuit

290
Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
290
Mesh Analysis with Current Sources01:10

Mesh Analysis with Current Sources

1.3K
Mesh analysis becomes simpler when analyzing circuits with current sources, whether independent or dependent. The presence of current sources reduces the number of equations required for analysis. Two cases illustrate this:
Current Source in One Mesh: The analysis process is straightforward when a current source is found in only one mesh within the circuit. Mesh currents are assigned as usual, with the mesh containing the current source excluded from the analysis. Kirchhoff's voltage law...
1.3K
Maximum Power Transfer01:16

Maximum Power Transfer

261
Numerous practical applications within engineering disciplines, such as telecommunications, necessitate optimizing power delivery to a connected load. This pursuit, however, entails inherent internal losses, which can either equal or exceed the power supplied to the load. The Thevenin equivalent circuit is helpful in finding the maximum power a linear circuit can deliver to a load. It is assumed in this context that the load resistance can be adjusted.
By substituting the entire circuit with...
261

You might also read

Related Articles

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

Sort by
Same author

Leveraging 3D LiDAR Sensors to Enable Enhanced Urban Safety and Public Health: Pedestrian Monitoring and Abnormal Activity Detection.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Differentiable Image Data Augmentation and Its Applications: A Survey.

IEEE transactions on pattern analysis and machine intelligence·2023
Same author

An analytical approach to evaluate the impact of age demographics in a pandemic.

Stochastic environmental research and risk assessment : research journal·2023
Same author

Integrating County-Level Socioeconomic Data for COVID-19 Forecasting in the United States.

IEEE open journal of engineering in medicine and biology·2022
Same author

A Generalized Mechanistic Model for Assessing and Forecasting the Spread of the COVID-19 Pandemic.

IEEE access : practical innovations, open solutions·2022

Related Experiment Video

Updated: Jul 5, 2025

Design and Optimization Strategies of a High-Performance Vented Box
14:23

Design and Optimization Strategies of a High-Performance Vented Box

Published on: June 9, 2023

1.2K

A WaveGAN Approach for mmWave-Based FANET Topology Optimization.

Enas Odat1, Hakim Ghazzai2, Ahmad Alsharoa1

  • 1Electrical and Computer Engineering Department, Missouri University of Science and Technology, Rolla, MO 65401, USA.

Sensors (Basel, Switzerland)
|January 11, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces WaveGAN, a Generative Adversarial Network approach for optimizing Flying Ad hoc Networks (FANETs) with millimeter Wave (mmWave) communication. WaveGAN quickly finds efficient network topologies to maximize data throughput.

Keywords:
FANETGenerative Adversarial Network (GAN)UAVdeep learningmmWave

More Related Videos

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

575
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

12.3K

Related Experiment Videos

Last Updated: Jul 5, 2025

Design and Optimization Strategies of a High-Performance Vented Box
14:23

Design and Optimization Strategies of a High-Performance Vented Box

Published on: June 9, 2023

1.2K
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

575
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

12.3K

Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Engineering

Background:

  • Flying Ad hoc Networks (FANETs) integrated with millimeter Wave (mmWave) technology offer high data transmission for data-intensive applications.
  • Effective mmWave communication in dynamic FANETs requires precise antenna alignment between Unmanned Aerial Vehicles (UAVs).
  • Optimizing network topology and antenna alignment is crucial for robust FANET performance.

Purpose of the Study:

  • To propose a novel approach for rapid optimization of FANET topology and antenna alignment for mmWave communication.
  • To maximize network throughput by selecting optimal communication paths with superior channel conditions.
  • To address the challenge of precise antenna alignment in dynamic UAV-based networks.

Main Methods:

  • A Generative Adversarial Network (GAN)-based approach, named WaveGAN, is proposed for FANET topology optimization.
  • The WaveGAN model learns to generate optimized network topologies from a supervised dataset.
  • A beam search algorithm refines the generated topologies to meet mmWave-based FANET structural requirements.

Main Results:

  • Simulation results demonstrate the proposed WaveGAN approach's ability to rapidly determine optimized FANET topologies.
  • The method achieves a very small optimality gap across different network sizes.
  • WaveGAN effectively identifies communication paths with the best channel conditions for maximizing throughput.

Conclusions:

  • The proposed WaveGAN approach provides an efficient solution for optimizing mmWave-enabled FANETs.
  • This method enables quick determination of network topologies, enhancing overall network performance and throughput.
  • WaveGAN is a promising technique for managing dynamic antenna alignment and topology in UAV communication networks.