Work

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

Year: 2024

Type: conference-paper

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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.14755730

Authors: Alexandropoulos, Ilias, Rentoula, Vasiliki, Fragkos, Dimitrios, Gkatzios, Nikolaos, Koumaras, Harilaos

Institutions: National Centre of Scientific Research "Demokritos", Institute of Informatics & Telecommunications

Language: English

Topic: Software-Defined Networks and 5G

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

Funder: European Commission