Edge computing with artificial intelligence: A machine learning perspective
Recent years have witnessed the widespread popularity of Internet of things (IoT). By
providing sufficient data for model training and inference, IoT has promoted the development …
providing sufficient data for model training and inference, IoT has promoted the development …
Machine and deep learning for resource allocation in multi-access edge computing: A survey
With the rapid development of Internet-of-Things (IoT) devices and mobile communication
technologies, Multi-access Edge Computing (MEC) has emerged as a promising paradigm …
technologies, Multi-access Edge Computing (MEC) has emerged as a promising paradigm …
Attention-weighted federated deep reinforcement learning for device-to-device assisted heterogeneous collaborative edge caching
In order to meet the growing demands for multimedia service access and release the
pressure of the core network, edge caching and device-to-device (D2D) communication …
pressure of the core network, edge caching and device-to-device (D2D) communication …
A systematic survey on content caching in ICN and ICN-IoT: Challenges, approaches and strategies
CN Pruthvi, HS Vimala, J Shreyas - Computer Networks, 2023 - Elsevier
Context: Data traffic increased in recent years due to the expansion of IoT (Internet of
Things) applications, and most IoT applications follow a content-oriented paradigm. The host …
Things) applications, and most IoT applications follow a content-oriented paradigm. The host …
[HTML][HTML] Federated learning based qos-aware caching decisions in fog-enabled internet of things networks
Abstract Quality of Service (QoS) in the 6G application scenario is an important issue with
the premise of the massive data transmission. Edge caching based on the fog computing …
the premise of the massive data transmission. Edge caching based on the fog computing …
Complementing IoT services using software-defined information centric networks: a comprehensive survey
W Rafique, AS Hafid… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
IoT connects a large number of physical objects with the Internet that capture and exchange
real-time information for service provisioning. Traditional network management schemes …
real-time information for service provisioning. Traditional network management schemes …
AI inspired intelligent resource management in future wireless network
S Fu, F Yang, Y Xiao - IEEE Access, 2020 - ieeexplore.ieee.org
In order to improve network performance, including reducing computation delay,
transmission delay and bandwidth consumption, edge computing and caching technologies …
transmission delay and bandwidth consumption, edge computing and caching technologies …
Caching and machine learning integration methods on named data network: A survey
RM Negara, NR Syambas - 2020 14th International Conference …, 2020 - ieeexplore.ieee.org
The caching mechanism is an essential part of future network design because it can improve
the Quality of Experience (QoE) for users. Therefore, recent studies have examined the most …
the Quality of Experience (QoE) for users. Therefore, recent studies have examined the most …
A review on green caching strategies for next generation communication networks
In recent years, the ever-increasing demand for networking resources and energy, fueled by
the unprecedented upsurge in Internet traffic, has been a cause for concern for many service …
the unprecedented upsurge in Internet traffic, has been a cause for concern for many service …
Deep transfer reinforcement learning for beamforming and resource allocation in multi-cell MISO-OFDMA systems
X Wang, G Sun, Y Xin, T Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Orthogonal frequency division multiple access (OFDMA) is one of the promising
technologies to satisfy the huge access demand and high data-rate requirement of the fifth …
technologies to satisfy the huge access demand and high data-rate requirement of the fifth …