An AI-assisted User-Intent 6G System for Dynamic Throughput Provision

The introduction of 6G technology represents a significant transformation in the telecommunications area, emphasizing a user-centric design to improve personalized communications experiences. This paper proposes an AI-assisted user-intent 6G system that dynamically provisions throughput by adjusting Time Division Duplexing (TDD) slot allocations based on the predicted user intent. An important feature of the system is the AI-powered chatbot which uses Natural Language Processing (NLP) to accurately recognize user needs, translating these into accurate TDD configurations. This paper examines the difficulties of the proposed system, highlighting its potential to enhance the network adaptability and user satisfaction. Through analysis and validation, this paper demonstrates significant improvements in network performance, setting a new standard for intelligent, user-centric telecommunications.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-21
DOI
https://doi.org/10.5281/zenodo.14755731
Primary Topic
Advanced Wireless Communication Technologies
Type
article
Field-Weighted Citation Impact
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article

An AI-assisted User-Intent 6G System for Dynamic Throughput Provision

Zenodo (CERN European Organization for Nuclear Research)
Advanced Wireless Communication Technologies
article

An AI-assisted User-Intent 6G System for Dynamic Throughput Provision

article en

Abstract

The introduction of 6G technology represents a significant transformation in the telecommunications area, emphasizing a user-centric design to improve personalized communications experiences. This paper proposes an AI-assisted user-intent 6G system that dynamically provisions throughput by adjusting Time Division Duplexing (TDD) slot allocations based on the predicted user intent. An important feature of the system is the AI-powered chatbot which uses Natural Language Processing (NLP) to accurately recognize user needs, translating these into accurate TDD configurations. This paper examines the difficulties of the proposed system, highlighting its potential to enhance the network adaptability and user satisfaction. Through analysis and validation, this paper demonstrates significant improvements in network performance, setting a new standard for intelligent, user-centric telecommunications.

Zenodo (CERN European Organization for Nuclear Research)
National Centre of Scientific Research "Demokritos" (GR), Institute of Informatics of the Slovak Academy of Sciences (SK), Unisys (United States) (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 65%
Advanced Wireless Communication Technologies
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