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

Maximum Power Transfer01:16

Maximum Power Transfer

309
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...
309
Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

147
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.
147
The Maximum Power Transfer Theorem01:20

The Maximum Power Transfer Theorem

686
Consider a linear AC Thevenin equivalent circuit connected to a load impedance.
The load connected draws the current, and the circuit delivers the power to the load. The alternating current flowing through the load is determined using the rectangular form of voltages, currents, network impedance, and load impedance. The average power delivered to the load is obtained from the product of the square of current and load resistance.
686
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

252
The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
252
The Power Flow Problem and Solution01:26

The Power Flow Problem and Solution

278
Power flow problem analysis is fundamental for determining real and reactive power flows in network components, such as transmission lines, transformers, and loads. The power system's single-line diagram provides data on the bus, transmission line, and transformer. Each bus k in the system is characterized by four key variables: voltage magnitude Vk​, phase angle δk​, real power Pk​, and reactive power Qk​. Two of these four variables are inputs, while the...
278
Load-frequency control01:28

Load-frequency control

219
Load-frequency control (LFC) is vital for maintaining power system stability, ensuring that frequency and power flows remain within acceptable limits during load changes. Turbine-governor control eliminates rotor accelerations and decelerations following load changes. However, a steady-state frequency error persists when the change in the turbine-governor reference setting is zero. In an interconnected power system, each area agrees to export or import a scheduled amount of power through...
219

You might also read

Related Articles

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

Sort by
Same author

Robust PAC<sub>m</sub>: Training Ensemble Models Under Misspecification and Outliers.

IEEE transactions on neural networks and learning systems·2023
Same author

Evaluation of 5G and Fixed-Satellite Service Earth Station (FSS-ES) Downlink Interference Based on Artificial Neural Network Learning Models (ANN-LMS).

Sensors (Basel, Switzerland)·2023
Same author

Enhanced Communications on Satellite-Based IoT Systems to Support Maritime Transportation Services.

Sensors (Basel, Switzerland)·2022
Same author

Low Complexity Robust Data Demodulation for GNSS.

Sensors (Basel, Switzerland)·2021
Same author

Overexpression of tensin homolog deleted on chromosome ten (PTEN) by ciglitazone sensitizes doxorubicin-resistance leukemia cancer cells to treatment.

Journal of cellular biochemistry·2019
Same author

Toxocara spp. infection and risk of childhood asthma: A systematic review and meta-analysis.

Acta tropica·2018
Same journal

Aerial BS location optimization for monitoring multiple forest areas with uplink UAV throughput requirements.

EURASIP journal on wireless communications and networking·2026
Same journal

Secure ISAC MIMO systems: exploiting interference with Bayesian Cramér-Rao bound optimization.

EURASIP journal on wireless communications and networking·2025
Same journal

Early-detection scheme based on sequential tests for low-latency communications.

EURASIP journal on wireless communications and networking·2023
Same journal

Blockchained supply chain management based on IoT tracking and machine learning.

EURASIP journal on wireless communications and networking·2023
Same journal

Adversarial bandit approach for RIS-aided OFDM communication.

EURASIP journal on wireless communications and networking·2022
Same journal

Joint scatterer localization and material identification using radio access technology.

EURASIP journal on wireless communications and networking·2022
See all related articles

Related Experiment Video

Updated: Aug 3, 2025

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

611

Some power allocation algorithms for cognitive uplink satellite systems.

Arthur Louchart1, Ehsan Tohidi2, Philippe Ciblat3

  • 1Centre for Digital Systems, IMT Nord Europe, Institut Mines-Télécom, University of Lille, Lille, France.

EURASIP Journal on Wireless Communications and Networking
|April 12, 2023
PubMed
Summary
This summary is machine-generated.

Cognitive satellite communication (SatCom) enhances data rates by optimizing power allocation in multi-operator systems. Novel algorithms address inter-operator coordination and nonlinear amplifier interference for improved performance.

Keywords:
Cognitive radioDistributed estimationSatellite systemsSignomial programming

More Related Videos

Quasi-light Storage for Optical Data Packets
07:45

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

10.9K
A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference
07:56

A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference

Published on: September 5, 2019

8.5K

Related Experiment Videos

Last Updated: Aug 3, 2025

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

611
Quasi-light Storage for Optical Data Packets
07:45

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

10.9K
A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference
07:56

A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference

Published on: September 5, 2019

8.5K

Area of Science:

  • Satellite communication engineering
  • Wireless communication systems
  • Cognitive radio technology

Background:

  • Increasing demand for high data rate services necessitates advanced communication solutions.
  • Exclusive licensed band models face scarcity, driving the need for dynamic spectrum access.
  • Cognitive satellite communication (SatCom) offers a promising approach to overcome these limitations.

Purpose of the Study:

  • To develop efficient power allocation methods for multi-operator, multi-beam uplink SatCom systems.
  • To address challenges posed by coexistence with Ka-band terrestrial networks under a cognitive radio paradigm.
  • To mitigate interference arising from limited inter-operator information exchange and nonlinear onboard high power amplifiers (HPAs).

Main Methods:

  • Distributed power allocation algorithms, including the Alternate Direction Multiplier Method (ADMM), were proposed for inter-operator coordination.
  • Nonlinear-aware power allocation techniques based on Signomial Programming were developed to address HPA nonlinearities.
  • Performance evaluation of proposed solutions against state-of-the-art methods.

Main Results:

  • The proposed distributed ADMM-based algorithms effectively manage resource coordination among multiple SatCom operators with limited information exchange.
  • Signomial Programming-based nonlinear-aware power allocation successfully mitigates interference caused by onboard HPAs.
  • Both proposed solutions demonstrate superior performance compared to existing state-of-the-art methods in the challenging SatCom scenario.

Conclusions:

  • The developed power allocation strategies significantly enhance the efficiency and performance of cognitive SatCom systems.
  • The study provides effective solutions for managing complex interference scenarios in multi-operator, multi-beam satellite networks.
  • The proposed methods represent a significant advancement in overcoming the limitations of traditional SatCom spectrum access.