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Found 4 papers, 0 papers with code
A Deep RL Approach on Task Placement and Scaling of Edge Resources for Cellular Vehicle-to-Network Service Provisioning
By conducting a complexity analysis, we prove that DDPG-based solutions achieve runtimes in the range of sub-milliseconds, meeting the strict latency requirements of C-V2N services.
V2N Service Scaling with Deep Reinforcement Learning
To this end, we employ Deep Reinforcement Learning (DRL) for vertical scaling in Edge computing to support vehicular-to-network communications.
Choose, not Hoard: Information-to-Model Matching for Artificial Intelligence in O-RAN
Open Radio Access Network (O-RAN) is an emerging paradigm, whereby virtualized network infrastructure elements from different vendors communicate via open, standardized interfaces.
COTORRA: COntext-aware Testbed fOR Robotic Applications
Edge & Fog computing have received considerable attention as promising candidates for the evolution of robotic systems.
Autonomous Navigation
Robotics
Networking and Internet Architecture
