Multiaccess Edge Computing in the Continuum and in 6G Networks: Emerging Trends and Applications
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Communications".
Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 197
Special Issue Editors
Interests: distributed systems; high-performance computing; edge computing; decentralised computing
Special Issues, Collections and Topics in MDPI journals
Interests: wireless networks; satellite communication; wireless communications; Internet of Things; artificial intelligence; neural networks
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Multiaccess Edge Computing (MEC) is a computing paradigm that brings computational capacity and data storage capabilities closer to the end users and devices where data is generated. This enhances the quality of the user experience by delivering real-time data processing and reducing latency and the amount of data transmitted over the network.
As 5G and 6G networks continue to evolve, MEC will play a vital role in unlocking new possibilities and applications. In 6G networks, MEC will be crucial in providing low latency, high bandwidth connections to support emerging technologies such as X-reality and autonomous vehicles. It will also drive the growth of the Internet of Things (IoT) by enabling seamless communication and real-time data processing between devices.
Edge computing resources and datacenters, located close to the network edge, are becoming a popular trend in MEC. This approach allows for more efficient processing of vast amounts of data, reducing the data transmission over the network.
MEC is also being integrated with Artificial Intelligence (AI) and Machine Learning (ML) technologies, offering advanced and intelligent services such as real-time image and video recognition, speech recognition, and natural language processing. Additionally, AI and ML can significantly improve the efficient exploitation of networking and computational resources.
Dr. Patrizio Dazzi
Dr. Alberto Gotta
Guest Editors
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