Nidhi (PhD Student, AU), Dr. Albena Dimitrova Mihovska (Associate Professor, AU)

An Intelligent Radio Resource Management Using AI for 5G and Beyond

TeanUp5G aims to satisfies the user requirements with the emerging technologies and solutions.TeamUp5G project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie project number 813391.

Project Background

New RAN TEchniques for 5G UltrA-dense Mobile networks - TeamUp5G

TeamUp5G is a European Training Network (ETN) in the frame of the Marie Skłodowska-Curie Innovative Training Networks (MSCA ITN) of the European Commission’s Horizon2020 framework. It is a multi-partner research-training network with both academic andnon-academic beneficiaries. It provides a research platform integrating learning withreal-life technical issues.

Architectures and Supporting Algorithms for Spectrum and CA for

Small Cells and Ultradense Deployments

Reference Scenarios, KPIs, Use Cases and System Requirements

Design and Evaluate Architectures and Supporting Energy-Efficient Algorithms

Support Energy Efficient Communications

Seamless Handover between Radio (RF) and Non-Radio (e.g. VLC) Technologies

Offload the Unlicensed Spectrum.

Development of Resource Sharing and CA

Techniques for UltraDense Networks

Development of Energy Efficient Protocols

Vehicular Communications and

Energy Efficiency

AI Potential

Reduced Capital Expenditure

Improves MIMO Energy Management at Radio Sites

Provide Paradigm Shift from Managing Networks to Managing Services

Scalable and Flexible Application-Centric Platform

Digital Transformation of Businesses

Traffic Management and Need-Based Routing Protocols

Machine Learning Algorithms to Manage Massive Data Flow

Terahertz Frequency Communication

Intelligent Resource Allocation

Network Performance Management for Telecommunication Operators

Research Objective

The research inspiration is to target the IoT and the cellular broadband applications with an intelligent Radio Resource Management procedure with the implementation of Artificial Intelligence

(AI)

Methodology

Dynamic and Modular Resource Management Architecture based on Reference Model

Incorporate Sensors and Prediction Capabilities to Architectural Components

Incorporate the AI Capabilities to Allocate Resources

Determination of the Tradeoff Using Multi-Techniques

Evaluation of Network Performance

Enhanced Energy Efficiency and Data Rate

Concept/Hypothesis

Digestion and Absorption

Fission and AssimilationEgestion

Ingestion

Network Requirements

• Quality Education• Economic Stability• Environmental Sustainability• Innovation and Infrastructure• Responsible Consumption and Production• Employment Stability and Opportunities

Long-Term Evolution Goals

• RAN Agnostic/Automatically Orchestrated Transceivers• Non-device Centric Communications• Extreme URLLC• Consent and Privacy Preserving Data Sharing• Support for Ambient/Novel Sensing• Small Data AI (Distributed Learning)• Terahertz Technologies • 4D-Imaging and Image Projection• Haptic Remote Telepresence• Full Spectrum Photonic Signal Processing• Proactive Decision Making • Pervasive User Identification and Authentication• Net Neutrality• Zero-energy Communications• AI Inspired Air Interfaces• Grant Free Access (IoT)

Technology Enablers

• Education Innovations• Health and Wellbeing Services• Urbanization vs. Remote• Infrastructure• Data Security and Privacy

Societal Challenges

• Health• Manufacturing• Finance Technologies• Society 5.0• Transport

Productivity in Vertical Industries

Expected Outcome

An intelligent architecture for allocating radio resources based on user-behavior, network performance and use case scenario prediction models

Enhanced Energy Efficiency and Data Rate

Ultra Reliable Low Latency Communication

Generic model that should satisfy communication systems beyond 5G

Scan for detailed documentation

Reference Model: SCIDAS [1]

1. A. Kumar and P. L. Mehta, "Architectural Framework for Good Data: A Realm for General Data Protection Regulation," 2018 21st International Symposium on Wireless Personal Multimedia Communications (WPMC), Chiang Rai, Thailand, 2018, pp. 375-380 doi: 10.1109/WPMC.2018.8712907