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IEEE Transactions on Mobile Computing

SEM-O-RAN: Semantic O-RAN Slicing for Mobile Edge Offloading of Computer Vision Tasks

Jul. 2024, pp. 7785-7800, vol. 23

Authors

Corrado Puligheddu, Department of Electronics and Telecommunications, Politecnico di Torino, Torino, Italy  
Jonathan Ashdown, Air Force Research Laboratory, Wright-Patterson AFB, OH, USA  
Carla Fabiana Chiasserini, Department of Electronics and Telecommunications, Politecnico di Torino, Torino, Italy  
Francesco Restuccia, Institute for the Wireless Internet of Things, Northeastern University, Boston, MA, USA
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Keywords

Task Analysis, Semantics, Resource Management, Optimization, Mobile Computing, Image Edge Detection, Data Integrity, Computation Offloading, Edge Computing, Network Slicing, Next G, O RAN, Resource Allocation, Semantics, Semantic, Computer Vision, Open Radio Access Network, Edge Offloading, Data Quality, Deep Learning, Resource Allocation, Source Code, Computational Resources, Deep Learning Models, Object Classification, Mobile Network, Task Requirements, Image Compression, Radio Access Network, Compression Level, Task Offloading, High Level Object, Deep Learning Tasks, Object Detection, Flexible Allocation, User Equipment, Mobile Edge Computing, Radio Resource, Compression Factor, Different Types Of Resources, Latency Requirements, Virtual Network Functions, Task Allocation, Accuracy Constraints

Abstract