Edge artificial intelligence for 6G: Vision, enabling technologies, and applications

KB Letaief, Y Shi, J Lu, J Lu - IEEE Journal on Selected Areas …, 2021 - ieeexplore.ieee.org
The thriving of artificial intelligence (AI) applications is driving the further evolution of
wireless networks. It has been envisioned that 6G will be transformative and will …

Pushing AI to wireless network edge: An overview on integrated sensing, communication, and computation towards 6G

G Zhu, Z Lyu, X Jiao, P Liu, M Chen, J Xu, S Cui… - Science China …, 2023 - Springer
Pushing artificial intelligence (AI) from central cloud to network edge has reached board
consensus in both industry and academia for materializing the vision of artificial intelligence …

Communication-efficient edge AI: Algorithms and systems

Y Shi, K Yang, T Jiang, J Zhang… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
Artificial intelligence (AI) has achieved remarkable breakthroughs in a wide range of fields,
ranging from speech processing, image classification to drug discovery. This is driven by the …

Toward self-learning edge intelligence in 6G

Y Xiao, G Shi, Y Li, W Saad… - IEEE Communications …, 2020 - ieeexplore.ieee.org
Edge intelligence, also called edge-native artificial intelligence (AI), is an emerging
technological framework focusing on seamless integration of AI, communication networks …

6G white paper on edge intelligence

E Peltonen, M Bennis, M Capobianco… - arXiv preprint arXiv …, 2020 - arxiv.org
In this white paper we provide a vision for 6G Edge Intelligence. Moving towards 5G and
beyond the future 6G networks, intelligent solutions utilizing data-driven machine learning …

Towards artificial intelligence enabled 6G: State of the art, challenges, and opportunities

S Zhang, D Zhu - Computer Networks, 2020 - Elsevier
Abstract 6G is expected to support the unprecedented Internet of everything scenarios with
extremely diverse and challenging requirements. To fulfill such diverse requirements …

6G wireless systems: A vision, architectural elements, and future directions

LU Khan, I Yaqoob, M Imran, Z Han, CS Hong - IEEE access, 2020 - ieeexplore.ieee.org
Internet of everything (IoE)-based smart services are expected to gain immense popularity in
the future, which raises the need for next-generation wireless networks. Although fifth …

Wireless network intelligence at the edge

J Park, S Samarakoon, M Bennis… - Proceedings of the …, 2019 - ieeexplore.ieee.org
Fueled by the availability of more data and computing power, recent breakthroughs in cloud-
based machine learning (ML) have transformed every aspect of our lives from face …

Intelligence-empowered mobile edge computing: Framework, issues, implementation, and outlook

K Jiang, C Sun, H Zhou, X Li, M Dong… - IEEE Network, 2021 - ieeexplore.ieee.org
Recently, artificial intelligence (AI) is undergoing a sustained success renaissance as it can
substantially improve networks' cognitive performance and intelligence, thereby contributing …

Convergence of edge computing and deep learning: A comprehensive survey

X Wang, Y Han, VCM Leung, D Niyato… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
Ubiquitous sensors and smart devices from factories and communities are generating
massive amounts of data, and ever-increasing computing power is driving the core of …