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

1.2K
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...
1.2K
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

1.3K
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
1.3K
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

961
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:
961
Methods of Medium Optimization01:28

Methods of Medium Optimization

70
Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...
70
The Maximum Power Transfer Theorem01:20

The Maximum Power Transfer Theorem

1.4K
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.
1.4K
Optimization Problems01:26

Optimization Problems

220
Optimization problems often involve identifying maximum or minimum values under specific constraints. A well-known example is determining the longest horizontal pipe that can be moved around a right-angled corner, where a 3-meter-wide hallway meets a 2-meter-wide hallway. This scenario, common in architectural design and industrial transport, can be understood conceptually through geometric and trigonometric reasoning.To visualize the problem, consider the pipe as a straight line that touches...
220

You might also read

Related Articles

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

Sort by
Same author

High energy resolution x-ray spectroscopy at the actinide M<sub>4,5</sub>edges: experimental challenges and theoretical advances.

Reports on progress in physics. Physical Society (Great Britain)·2026
Same author

Actinide Nanoparticles: Revising Early Developments and Recent Insights from High-Energy-Resolution Fluorescence-Detected X-Ray Absorption Near Edge Structure and Synchrotron Techniques.

Small science·2026
Same author

Relationship between Mineralogically Complex Iron (Oxyhydr)oxides and Plutonium Sorption and Reduction: A High-Energy Resolution X-ray Absorption Spectroscopy Perspective.

Environmental science & technology·2025
Same author

Exploring cluster formation in uranium oxidation using high resolution X-ray spectroscopy at elevated temperatures.

Communications materials·2025
Same author

Development of A Micro-CT Scanner with Dual-Energy Option and Endovascular Contrast Agent Administration Protocol for Fetal and Neonatal Virtual Autopsy.

Journal of imaging·2024
Same author

Effect of carbon content on electronic structure of uranium carbides.

Scientific reports·2023

Related Experiment Video

Updated: May 3, 2026

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

1.3K

Suboptimal greedy power allocation schemes for discrete bit loading.

Waleed Al-Hanafy1, Stephan Weiss2

  • 1Electronics and Communication Engineering Department, Faculty of Electronic Engineering, Menoufia University, Menouf 32952, Egypt.

Thescientificworldjournal
|February 7, 2014
PubMed
Summary
This summary is machine-generated.

Low-cost discrete bit loading using greedy power allocation (GPA) reduces computational complexity. Suboptimal GPA schemes on subchannel subsets achieve near-optimal performance with significantly reduced complexity for discrete bit loading.

Related Experiment Videos

Last Updated: May 3, 2026

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

1.3K

Area of Science:

  • Digital Communications
  • Signal Processing
  • Information Theory

Background:

  • Discrete bit loading is crucial for optimizing data throughput in communication systems.
  • Greedy Power Allocation (GPA) is a standard method for maximizing throughput but can be computationally intensive.
  • Existing methods face challenges in reducing computational complexity for systems with numerous subchannels.

Purpose of the Study:

  • To develop low-cost, computationally efficient discrete bit loading algorithms.
  • To reduce the complexity of greedy power allocation (GPA) for digital communication systems.
  • To maintain high data throughput while minimizing computational overhead.

Main Methods:

  • Proposed three suboptimal GPA schemes operating on subsets of subchannels.
  • Defined subchannel subsets based on minimum Signal-to-Noise Ratio (SNR) boundaries for Quadrature Amplitude Modulation (QAM) levels.
  • Implemented power allocation strategies with consideration for total transmit power budget, target Bit Error Rate (BER), and maximum QAM order.

Main Results:

  • Demonstrated significant reduction in computational complexity compared to standard GPA, especially for many subchannels.
  • Two proposed suboptimal schemes achieved near-optimal performance with minimal extra cost.
  • Identified distinct SNR regions where the two near-optimal schemes exhibit superior performance.

Conclusions:

  • Suboptimal GPA on subchannel subsets offers a viable approach to reduce computational complexity in discrete bit loading.
  • The proposed schemes provide a practical trade-off between computational cost and performance.
  • These algorithms are particularly beneficial for systems requiring efficient power allocation across a large number of subchannels.