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AI-Driven Self Optimization of 5G Network Coverage and Capacity Using Multi-Agent Deep Reinforcement Learning

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Published in:IEEE Access
Format: Online Article RSS Article
Published: 2026
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spellingShingle AI-Driven Self Optimization of 5G Network Coverage and Capacity Using Multi-Agent Deep Reinforcement Learning
Computer Science & Information Science
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display Computer Science & Information Science
Computer Science & IT
Engineering & Technology
Computer Science & Information Science
Computer Science & IT
Engineering & Technology
subject_facet Computer Science & Information Science
Computer Science & IT
Engineering & Technology
title AI-Driven Self Optimization of 5G Network Coverage and Capacity Using Multi-Agent Deep Reinforcement Learning
title_auth AI-Driven Self Optimization of 5G Network Coverage and Capacity Using Multi-Agent Deep Reinforcement Learning
title_full AI-Driven Self Optimization of 5G Network Coverage and Capacity Using Multi-Agent Deep Reinforcement Learning
title_fullStr AI-Driven Self Optimization of 5G Network Coverage and Capacity Using Multi-Agent Deep Reinforcement Learning
title_full_unstemmed AI-Driven Self Optimization of 5G Network Coverage and Capacity Using Multi-Agent Deep Reinforcement Learning
title_short AI-Driven Self Optimization of 5G Network Coverage and Capacity Using Multi-Agent Deep Reinforcement Learning
title_sort ai-driven self optimization of 5g network coverage and capacity using multi-agent deep reinforcement learning
topic Computer Science & Information Science
Computer Science & IT
Engineering & Technology
url http://ieeexplore.ieee.org/document/11456652