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Description

Mobile edge computing (MEC) is a 5G/6G paradigm in communication and computing. The main feature of MEC is to push mobile computing, AI, control, and storage to the network edge (e.g., servers near base stations and access points) so as to enable intelligent, computation-intensive, and latency-critical applications at the resource-limited mobile devices. The promised gains of MEC have motivated extensive efforts by both the academia and industry on developing relevant technologies. In particular, MEC will provide a platform for realizing edge intelligence in 6G systems. In this session, several leading researchers from the industry will discuss the latest advancements in edge computing and edge AI in the areas and how relevant technologies will impact the ongoing 6G evolution. A lightweight Edge AI system for Enterprise Edge AI for Wireless: Opportunities and Challenges Machine learning in advanced wireless communication Network Edge Intelligence for emerging applications in 5G and beyond

Event
IEEE International Conference on Communications 2022
Presenters
Organizer : Kaibin Huang (Dept. of EEE, University of Hong Kong, Hong Kong) Presenters : Jinguk Jeong (Head of SRR, Corporate VP/Head of R&D Center, Samsung Electronics, Seoul, South Korea) "A lightweight Edge AI system for Enterprise" Merouane Debbah (Chief Researcher, the Technology Innovation Institute, Abu Dhabi) "Edge AI for Wireless: Opportunities and Challenges" Justin Chuang (Vice President, Communications Technologies, Hong Kong Applied Science and Technology Research Institute) "Network Edge Intelligence for emerging applications in 5G and beyond” Yanhui Geng (Director, Huawei Noah’s Ark Lab, Hong Kong) "Machine learning in advanced wireless communication”
ComSoc Member Price
$0.00
IEEE Member Price
$15.00
Non-Member Price
$25.00