DSI: SustainAIRA6G: Energy-Efficient Sustainable AI-driven Resource Allocation for 6G-empowered Edge-Fog-Cloud Continuum - Research Portal | Lancaster University

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DSI: SustainAIRA6G: Energy-Efficient Sustainable AI-driven Resource Allocation for 6G-empowered Edge-Fog-Cloud Continuum

Project: Research

Status	Active
Effective start/end date	24/07/24 → 31/07/25

Funding

Engineering and Physical Sciences Research Council: £134,482.82

Ni, Qiang (Principal Investigator)
Yu, Wenjuan (Co-Investigator)

Research outputs

Task Dependency Aware Optimal Resource Allocation for URLLC Edge Network: A Digital Twin Approach Using Finite Blocklength
Research output: Contribution to Journal/Magazine › Journal article › peer-review
A NOMA-Enhanced 2-Step RACH Procedure for Low-Latency Access in 5G Networks
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Socially-Inspired Semantic Communication Codec Updating for NTN-Enabled Intelligent Transportation Systems
Research output: Contribution to Journal/Magazine › Journal article › peer-review