Artificial Intelligence-Defined Wireless Networking for Computational Offloading and Resource Allocation in Edge Computing Networks

Artificial Intelligence-Defined Wireless Networking for Computational Offloading and Resource Allocation in Edge Computing Networks

The advent of the Internet of Everything and new Ultra-Reliable Low-Latency Communication (URLLC) services has resulted in an exponential growth in data demands at the network’s edge. To meet the stringent performance requirements of evolving 5G (and beyond) applications, deploying dedica...

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Bibliographic Details
Main Authors: Syed Danial Ali Shah, Mark A. Gregory, Faycal Bouhafs, Frank Den Hartog
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Journal of the Communications Society
Subjects:
Edge computing
resource management
AI
wireless networks
SDN
task offloading
Online Access:https://ieeexplore.ieee.org/document/10480671/

Internet

https://ieeexplore.ieee.org/document/10480671/

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