A Deep Reinforcement Learning with Gumbel Distribution Approach for Contention Window Optimization in IEEE 802.11 Networks

This study introduces the Smart Exponential-Threshold-Linear with Double Deep Q-learning Network (SETL-DDQN) and an extended Gumbel distribution method, designed to optimize the Contention Window (CW) in IEEE 802.11 networks.... | Find, read and cite all the research you need on Tech Science Press

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Publication Details

Journal
Computers, materials & continua/Computers, materials & continua (Print)
Published
2025-01-01
DOI
https://doi.org/10.32604/cmc.2025.066899
Citations
1
Primary Topic
Wireless Networks and Protocols
Type
article
Field-Weighted Citation Impact
1.49
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article

A Deep Reinforcement Learning with Gumbel Distribution Approach for Contention Window Optimization in IEEE 802.11 Networks

1 citations
Computers, materials & continua/Computers, materials & continua (Print)
Wireless Networks and Protocols
1.49
article

A Deep Reinforcement Learning with Gumbel Distribution Approach for Contention Window Optimization in IEEE 802.11 Networks

article en
1 citations

Abstract

This study introduces the Smart Exponential-Threshold-Linear with Double Deep Q-learning Network (SETL-DDQN) and an extended Gumbel distribution method, designed to optimize the Contention Window (CW) in IEEE 802.11 networks.... | Find, read and cite all the research you need on Tech Science Press

Computers, materials & continua/Computers, materials & continua (Print)Vol. 84(3)
National Taiwan University of Science and Technology (TW)
Openalex Percentile: Top 11%
Wireless Networks and Protocols
1.49
DOIOpen Access PDFOpenAlex
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A Deep Reinforcement Learning with Gumbel Distribution Approach for Contention Window Optimization in IEEE 802.11 Networks · Computers, materials & continua/Computers, materials & continua (Print) (2025) | TGRS Research Map | TGRS