A survey on explainable ai for 6g o-ran: Architecture, use cases, challenges and research directions
The recent O-RAN specifications promote the evolution of RAN architecture by function
disaggregation, adoption of open interfaces, and instantiation of a hierarchical closed-loop …
disaggregation, adoption of open interfaces, and instantiation of a hierarchical closed-loop …
Machine learning for service migration: a survey
Future communication networks are envisioned to satisfy increasingly granular and dynamic
requirements to accommodate the application and user demands. Indeed, novel immersive …
requirements to accommodate the application and user demands. Indeed, novel immersive …
Deep learning for B5G open radio access network: Evolution, survey, case studies, and challenges
Open Radio Access Network (O-RAN) alliance was recently launched to devise a new RAN
architecture featuring open, software-driven, virtual, and intelligent radio access architecture …
architecture featuring open, software-driven, virtual, and intelligent radio access architecture …
PateGail: a privacy-preserving mobility trajectory generator with imitation learning
Generating human mobility trajectories is of great importance to solve the lack of large-scale
trajectory data in numerous applications, which is caused by privacy concerns. However …
trajectory data in numerous applications, which is caused by privacy concerns. However …
Toward optimal MEC-based collision avoidance system for cooperative inland vessels: A federated deep learning approach
Cooperative collision avoidance between inland waterway ships is among the envisioned
services on the Internet of Ships. Such a service aims to support safe navigation while …
services on the Internet of Ships. Such a service aims to support safe navigation while …
Dynamic allocation of computing and communication resources in multi-access edge computing for mobile users
The Multi-Access Edge Computing (MEC) constitutes computing over virtualized resources
distributed at the edge of mobile network. For mobile users, an optimal allocation of …
distributed at the edge of mobile network. For mobile users, an optimal allocation of …
Multiple access techniques for intelligent and multi-functional 6G: Tutorial, survey, and outlook
Multiple access (MA) is a crucial part of any wireless system and refers to techniques that
make use of the resource dimensions to serve multiple users/devices/machines/services …
make use of the resource dimensions to serve multiple users/devices/machines/services …
Federated learning and proactive computation reuse at the edge of smart homes
Edge-based technologies have emerged as a key enabler to empower low-latency services
and incorporate machine learning techniques for learning/inference. However, transferring …
and incorporate machine learning techniques for learning/inference. However, transferring …
Fog-supported low-latency monitoring of system disruptions in industry 4.0: A federated learning approach
Industry 4.0 is based on machine learning and advanced digital technologies, such as
Industrial-Internet-of-Things and Cyber-Physical-Production-Systems, to collect and process …
Industrial-Internet-of-Things and Cyber-Physical-Production-Systems, to collect and process …
STAG: A novel interaction-aware path prediction method based on Spatio-Temporal Attention Graphs for connected automated vehicles
MN Azadani, A Boukerche - Ad Hoc Networks, 2023 - Elsevier
Understanding social interactions between a vehicle and its surrounding agents enables
effective path prediction, which is critical for the motion planning and safe navigation of …
effective path prediction, which is critical for the motion planning and safe navigation of …