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

Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

272
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:
272
Mesh Analysis for AC Circuits01:12

Mesh Analysis for AC Circuits

414
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...
414
Maximum Power Transfer01:16

Maximum Power Transfer

354
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...
354
Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

167
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.
167
The Power Flow Problem and Solution01:26

The Power Flow Problem and Solution

322
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...
322
Carrier Generation and Recombination01:22

Carrier Generation and Recombination

757
Carrier generation is the process by which electron-hole pairs (EHPs) are created within the semiconductor. In direct-bandgap semiconductors, such as gallium arsenide (GaAs), this occurs efficiently when energy absorption prompts valence electrons to leap into the conduction band, leaving behind holes.
This process is given by the generation rate G and is efficient due to the conservation of momentum between the valence band maximum and conduction band minimum.
Indirect generation involves an...
757

You might also read

Related Articles

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

Sort by
Same author

Genetic Artificial Hummingbird Algorithm-Support Vector Machine for Timely Power Theft Detection.

TheScientificWorldJournal·2024
Same author

An Efficient PCA-GA-HKSVM-Based Disease Diagnostic Assistant.

BioMed research international·2021
Same author

Hybrid Gradient Descent Grey Wolf Optimizer for Optimal Feature Selection.

BioMed research international·2021
See all related articles

Related Experiment Video

Updated: Aug 29, 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

645

An Aggressive Cuckoo Search Algorithm for Optimum Power Allocation in a CDMA-Based Cellular Network.

Shawn Muthomi Mwitia1, Davies Rene Segera1

  • 1Department of Electrical and Information Engineering, University of Nairobi, Nairobi 30197, Kenya.

Thescientificworldjournal
|September 9, 2022
PubMed
Summary

This study introduces an aggressive cuckoo search algorithm for optimal power allocation in CDMA cellular networks. The enhanced algorithm improves performance using adaptive parameters and Beta distribution, ensuring efficient signal-to-interference-and-noise ratio with minimal power usage.

More Related Videos

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.0K
Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

9.4K

Related Experiment Videos

Last Updated: Aug 29, 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

645
Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.0K
Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

9.4K

Area of Science:

  • Computer Science
  • Electrical Engineering
  • Optimization Algorithms

Background:

  • Power allocation is critical for CDMA cellular networks to maintain signal quality and minimize interference.
  • Existing cuckoo search algorithms may lack the aggressiveness needed for complex optimization tasks.
  • Efficient power management is essential for user satisfaction and network resource optimization.

Purpose of the Study:

  • To develop an aggressive cuckoo search algorithm for optimum power allocation in CDMA cellular networks.
  • To enhance the cuckoo search algorithm using adaptive parameters and Beta distribution for improved performance.
  • To validate the proposed algorithm's superiority over existing optimization techniques.

Main Methods:

  • An aggressive cuckoo search algorithm was developed, incorporating adaptive parameters for step size and discovery probability.
  • The Lévy flight mechanism was replaced with the Beta distribution to refine the search process.
  • The algorithm was rigorously tested on 23 benchmark functions and compared against 14 other optimization algorithms.
  • Statistical analysis using the Wilcoxon rank-sum test was employed to confirm performance superiority.
  • The algorithm was applied to optimize uplink power for multiple users in CDMA networks under Rician fading channels.

Main Results:

  • The proposed aggressive cuckoo search algorithm demonstrated superior performance compared to standard and advanced optimization algorithms across benchmark tests.
  • Statistical analysis confirmed the algorithm's effectiveness and robustness.
  • The algorithm successfully determined optimal uplink power allocations in three distinct Rician fading channel scenarios.
  • The optimized power allocation ensured that mobile stations met their signal-to-interference-and-noise ratio targets while minimizing power consumption.

Conclusions:

  • The aggressive cuckoo search algorithm offers a significant advancement for optimum power allocation in CDMA cellular networks.
  • The integration of adaptive parameters and Beta distribution effectively enhances optimization capabilities.
  • The algorithm provides a robust and efficient solution for managing uplink power, meeting performance requirements with minimal energy expenditure.