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, usercentric telecommunications.

Authors

Institutions

Publication Details

Published
2024-10-21
DOI
https://doi.org/10.1109/camad62243.2024.10942858
Citations
3
Primary Topic
Advanced Wireless Communication Technologies
Type
article
Field-Weighted Citation Impact
0.63
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Nikolaos Gkatzios, Harilaos Koumaras, Dimitrios Fragkos, Ilias Alexandropoulos et al.
3 citations
Advanced Wireless Communication Technologies
0.63
article

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

Nikolaos Gkatzios, Harilaos Koumaras, Dimitrios Fragkos, Ilias Alexandropoulos, Vasiliki Rentoula
article en
3 citations

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, usercentric telecommunications.

National Centre of Scientific Research "Demokritos" (GR)
Openalex Percentile: Top 30%
Advanced Wireless Communication Technologies
0.63
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

An AI-Assisted User-Intent 6G System for Dynamic Throughput Provision — Nikolaos Gkatzios, Harilaos Koumaras, et al. · (2024) | TGRS Research Map | TGRS