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Found 7 papers, 0 papers with code
Swarm of Robotic Aerial Base Stations for mmWave Multi-Hop Backhauling
Robotic aerial base stations (RABSs) that are able to anchor at tall urban landforms are expected to bring further flexibility to millimeter-wave (mmWave) multi-hop backhaul networks in highly dense urban environments.
Multi-Objective Provisioning of Network Slices using Deep Reinforcement Learning
To this end, we model the real-time NSP as an Online Network Slice Provisioning (ONSP) problem.
Interference Aware Path Planning for Mobile Robots in mmWave Multi Cell Networks
The emerging beyond 5G and envisioned 6G wireless networks are considered as key enablers in supporting a diversified set of applications for industrial mobile robots (MRs).
Learning from Images: Proactive Caching with Parallel Convolutional Neural Networks
In this paper, a novel framework for proactive caching is proposed.
A Survey of Deep Learning for Data Caching in Edge Network
Then, a number of key types of deep learning algorithms are presented, ranging from supervised learning to unsupervised learning as well as reinforcement learning.
Network Orchestration in Mobile Networks via a Synergy of Model-driven and AI-based Techniques
As data traffic volume continues to increase, caching of popular content at strategic network locations closer to the end user can enhance not only user experience but ease the utilization of highly congested links in the network.
Decision Making
Networking and Internet Architecture
Signal Processing
Caching as an Image Characterization Problem using Deep Convolutional Neural Networks
Caching of popular content closer to the mobile user can significantly increase overall user experience as well as network efficiency by decongesting backbone network segments in the case of congestion episodes.
