A comprehensive survey on 6G networks: Applications, core services, enabling technologies, and future challenges
Cellular Internet of Things (IoT) is considered as de facto paradigm to improve the
communication and computation systems. Cellular IoT connects massive number of physical …
communication and computation systems. Cellular IoT connects massive number of physical …
When machine learning meets network management and orchestration in Edge-based networking paradigms
A Shahraki, T Ohlenforst, F Kreyß - Journal of Network and Computer …, 2023 - Elsevier
Caused by the rising of new network types, eg, Internet of Things (IoT), within the last
decade and related challenges like Big Data and data processing delay, new paradigms …
decade and related challenges like Big Data and data processing delay, new paradigms …
[HTML][HTML] A comparative study on online machine learning techniques for network traffic streams analysis
Modern networks generate a massive amount of traffic data streams. Analyzing this data is
essential for various purposes, such as network resources management and cyber-security …
essential for various purposes, such as network resources management and cyber-security …
From statistical‐to machine learning‐based network traffic prediction
I Lohrasbinasab, A Shahraki… - Transactions on …, 2022 - Wiley Online Library
Nowadays, due to the exponential and continuous expansion of new paradigms such as
Internet of Things (IoT), Internet of Vehicles (IoV) and 6G, the world is witnessing a …
Internet of Things (IoT), Internet of Vehicles (IoV) and 6G, the world is witnessing a …
Decentralized configuration of TSCH-based IoT networks for distinctive QoS: A deep reinforcement learning approach
H Hajizadeh, M Nabi… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The IEEE 802.15. 4 time-slotted channel hopping (TSCH) is widely used as a reliable, low-
power, and low-cost communication technology for many industrial Internet of Things (IoT) …
power, and low-cost communication technology for many industrial Internet of Things (IoT) …
[HTML][HTML] TONTA: Trend-based online network traffic analysis in ad-hoc IoT networks
Abstract Internet of Things (IoT) refers to a system of interconnected heterogeneous smart
devices communicating without human intervention. A significant portion of existing IoT …
devices communicating without human intervention. A significant portion of existing IoT …
Mobility-Aware Resource Allocation in IoRT Network for Post-Disaster Communications with Parameterized Reinforcement Learning
Natural disasters, including earthquakes, floods, landslides, tsunamis, wildfires, and
hurricanes, have become more common in recent years due to rapid climate change. For …
hurricanes, have become more common in recent years due to rapid climate change. For …
Quality of service‐aware adaptive radio resource management based on deep federated Q‐learning for multi‐access edge computing in beyond 5G cloud‐radio …
N Kumar, A Ahmad - Transactions on Emerging …, 2023 - Wiley Online Library
Due to the exponential increase of mobile data services, both industry and academia have
turned their focus for improving the quality of service (QoS) provisioning for the beyond 5G …
turned their focus for improving the quality of service (QoS) provisioning for the beyond 5G …
IoT convergence with machine learning & blockchain: A review
Introduces the merging of the Internet of Things with cutting-edge technology, including
blockchain concepts, machine learning algorithms, and AI-based wireless connectivity …
blockchain concepts, machine learning algorithms, and AI-based wireless connectivity …
Internet traffic classification using an ensemble of deep convolutional neural networks
Network traffic classification (NTC) has attracted considerable attention in recent years. The
importance of traffic classification stems from the fact that data traffic in modern networks is …
importance of traffic classification stems from the fact that data traffic in modern networks is …