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Large Language Models as Cognitive Network Agents: Intent-Based Management and Self-Optimization in 6G Communication Systems

Large Language Models as Cognitive Network Agents: Intent-Based Management and Self-Optimization in 6G Communication Systems

publishedDate Venue Journal of AI-Driven Communication Engineering

Source-permitted summary

Large Language Models as Cognitive Network Agents: Intent-Based Management and Self-Optimization in 6G Communication Systems

SourceZeal Press

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Primary source
Zeal Press
Correction status
none
Evidence coverage
1 sources / 1 publishers
Last metadata check
Jul 19, 2026
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Core signal

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Core signal
Large Language Models as Cognitive Network Agents: Intent-Based Management and Self-Optimization in 6G Communication Systems
Field context
Foundation Models and Agents
People and labs
Not stated in the reviewed source.
Why it matters
Recent source-backed research output for AISci Stage A browsing.
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Publication facts

Date
Jul 4, 2026SourceZeal Press
Venue
Journal of AI-Driven Communication EngineeringSourceZeal Press
Open access
unknownSourceZeal Press

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  1. paperLarge Language Models as Cognitive Network Agents: Intent-Based Management and Self-Optimization in 6G Communication Systems