On the road to 6G: Visions, requirements, key technologies, and testbeds
Fifth generation (5G) mobile communication systems have entered the stage of commercial
deployment, providing users with new services, improved user experiences as well as a host …
deployment, providing users with new services, improved user experiences as well as a host …
AI-empowered content caching in vehicular edge computing: Opportunities and challenges
MA Javed, S Zeadally - IEEE network, 2021 - ieeexplore.ieee.org
Vehicular networks are an indispensable component of future autonomous and intelligent
transport systems. Today, many vehicular networking applications are emerging, and …
transport systems. Today, many vehicular networking applications are emerging, and …
Coopedge: A decentralized blockchain-based platform for cooperative edge computing
Edge computing (EC) has recently emerged as a novel computing paradigm that offers
users low-latency services. Suffering from constrained computing resources due to their …
users low-latency services. Suffering from constrained computing resources due to their …
Distributed reinforcement learning for privacy-preserving dynamic edge caching
Mobile edge computing (MEC) is a prominent computing paradigm which expands the
application fields of wireless communication. Due to the limitation of the capacities of user …
application fields of wireless communication. Due to the limitation of the capacities of user …
Low-latency edge cooperation caching based on base station cooperation in SDN based MEC
C Li, C Qianqian, Y Luo - Expert Systems with Applications, 2022 - Elsevier
With the increase of mobile terminal equipment and network mass data, users have higher
requirements for delay and service quality. To reduce user access latency and more …
requirements for delay and service quality. To reduce user access latency and more …
Federated learning-based multi-energy load forecasting method using CNN-Attention-LSTM model
G Zhang, S Zhu, X Bai - Sustainability, 2022 - mdpi.com
Integrated Energy Microgrid (IEM) has emerged as a critical energy utilization mechanism
for alleviating environmental and economic pressures. As a part of demand-side energy …
for alleviating environmental and economic pressures. As a part of demand-side energy …
Online content popularity prediction and learning in wireless edge caching
Caching popular contents in advance is an important technique to achieve low latency and
reduce the backhaul costs in future wireless communications. Considering a network with …
reduce the backhaul costs in future wireless communications. Considering a network with …
CoPUP: Content popularity and user preferences aware content caching framework in mobile edge computing
Mobile edge computing (MEC) enables intelligent content caching at the network edge to
reduce traffic and enhance content delivery efficiency. In MEC architecture, popular content …
reduce traffic and enhance content delivery efficiency. In MEC architecture, popular content …
Many-objective optimization based-content popularity prediction for cache-assisted cloud-edge-end collaborative IoT networks
With the advancement of mobile communication technology, there has been a marked
increase in the demand for personalized and ubiquitous Internet of Things (IoT) services …
increase in the demand for personalized and ubiquitous Internet of Things (IoT) services …
User-aware and flexible proactive caching using LSTM and ensemble learning in IoT-MEC networks
To meet the stringent demands of emerging Internet-of-Things (IoT) applications, such as
smart home, smart city, and virtual reality in 5G/6G IoT networks, edge content caching for …
smart home, smart city, and virtual reality in 5G/6G IoT networks, edge content caching for …