Applying machine learning techniques for caching in next-generation edge networks: A comprehensive survey
Edge networking is a complex and dynamic computing paradigm that aims to push cloud re-
sources closer to the end user improving responsiveness and reducing backhaul traffic …
sources closer to the end user improving responsiveness and reducing backhaul traffic …
Device-enhanced MEC: Multi-access edge computing (MEC) aided by end device computation and caching: A survey
Multi-access edge computing (MEC) has recently been proposed to aid mobile end devices
in providing compute-and data-intensive services with low latency. Growing service …
in providing compute-and data-intensive services with low latency. Growing service …
Comprehensive survey on self-organizing cellular network approaches applied to 5G networks
Abstract Self-Organizing Network (SON) stands for a key concept characterizing the
behavior of the future mobile networks. The evolution of telecom infrastructures towards 5G …
behavior of the future mobile networks. The evolution of telecom infrastructures towards 5G …
Assessing the energy consumption of proactive mobile edge caching in wireless networks
Multiaccess edge computing and caching (MEC) is regarded as one of the key technologies
of fifth-generation (5G) radio access networks. By bringing computing and storage resources …
of fifth-generation (5G) radio access networks. By bringing computing and storage resources …
Artificial intelligence (AI) and machine learning for multimedia and edge information processing
The advancements and progress in artificial intelligence (AI) and machine learning, and the
numerous availabilities of mobile devices and Internet technologies together with the …
numerous availabilities of mobile devices and Internet technologies together with the …
Applying machine learning techniques for caching in edge networks: A comprehensive survey
Edge networking is a complex and dynamic computing paradigm that aims to push cloud
resources closer to the end user improving responsiveness and reducing backhaul traffic …
resources closer to the end user improving responsiveness and reducing backhaul traffic …
Leveraging mobility and content caching for proactive load balancing in heterogeneous cellular networks
Evolution of cellular networks into dynamic, dense, and heterogeneous networks have
introduced new challenges for cell resource optimization, especially in the imbalanced traffic …
introduced new challenges for cell resource optimization, especially in the imbalanced traffic …
Multi-community influence maximization in device-to-device social networks
In recent years, we have witnessed the rapid development of mobile multimedia services
integrated with social networks. Therefore, Influence Maximization (IM) problem in social …
integrated with social networks. Therefore, Influence Maximization (IM) problem in social …
Cognitive caching at the edges for mobile social community networks: A multi-agent deep reinforcement learning approach
M Radenkovic, VSH Huynh - IEEE access, 2020 - ieeexplore.ieee.org
Content caching in the current commercial content delivery networks (CDNs) allows
reduction of duplicate traffic and improvement of QoS and QoE but it still suffers from surges …
reduction of duplicate traffic and improvement of QoS and QoE but it still suffers from surges …
Spectrum-Aware Energy Efficiency Analysis in K-tier 5G HetNets
In future multi-tier cellular networks, cognitive radio (CR) compatible with device-to-device
(D2D) communication can be an aid to enhance system spectral efficiency (SE) and energy …
(D2D) communication can be an aid to enhance system spectral efficiency (SE) and energy …