Unleashing the power of edge-cloud generative ai in mobile networks: A survey of aigc services

M Xu, H Du, D Niyato, J Kang, Z Xiong… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Artificial Intelligence-Generated Content (AIGC) is an automated method for generating,
manipulating, and modifying valuable and diverse data using AI algorithms creatively. This …

Artificial intelligence and corporate carbon neutrality: A qualitative exploration

A Luqman, Q Zhang, S Talwar… - Business Strategy and …, 2024 - Wiley Online Library
Many firms have established formal carbon neutrality (CN) targets in response to the
increasing climate risk and related regulatory requirements. Subsequently, they have …

Effective mechanism for trading generation rights in the context of carbon emission rights

X Fu, X Li, Z Min, D Zou - Energy for Sustainable Development, 2023 - Elsevier
In the global context of intensive energy resource consumption and substantial greenhouse
gas emissions, as the energy sector with the highest share of carbon emissions, the power …

Green Edge AI: A Contemporary Survey

Y Mao, X Yu, K Huang, YJA Zhang, J Zhang - arXiv preprint arXiv …, 2023 - arxiv.org
Artificial intelligence (AI) technologies have emerged as pivotal enablers across a multitude
of industries, including consumer electronics, healthcare, and manufacturing, largely due to …

Game-Based Pricing for Joint Carbon and Electricity Trading in Microgrids

W Xu, F Lin, R Jia, C Tang, Z Zheng… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
To realize carbon emission reduction, restricting regional carbon emissions while meeting
electricity usage is a critical but not trivial problem. In this paper, we propose a game-based …

Reliable or Green? Continual Individualized Inference Provisioning in Fabric Metaverse via Multi-exit Acceleration

Y Qiu, M Chen, W Liang, D Niyato… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Fabric metaverse employs intelligence fibers embedded with flexible sensors to
unknowingly gather and transmit massive hypermodal data around humans to a deep …

Carbon-Aware Dynamic Task Offloading in NOMA-Enabled Mobile Edge Computing for IoT

Y Yang, Y Chen, K Li, J Huang - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
As the Internet of Things (IoT) becomes ubiquitous and the demand for high-quality services
increases, the limitations of traditional network models are starting to show due to endpoint …

Generative AI for Low-Carbon Artificial Intelligence of Things

J Wen, R Zhang, D Niyato, J Kang, H Du… - arXiv preprint arXiv …, 2024 - arxiv.org
By integrating Artificial Intelligence (AI) with the Internet of Things (IoT), Artificial Intelligence
of Things (AIoT) has revolutionized many fields. However, AIoT is facing the challenges of …

Carbon Footprint Management in Global Supply Chains: A Data-Driven Approach Utilizing Artificial Intelligence Algorithms

R Huang, S Mao - IEEE Access, 2024 - ieeexplore.ieee.org
This abstract introduces a data-driven approach to managing carbon footprints in global
supply chains through the integration of artificial intelligence (AI) algorithms. With the …