Enabling massive IoT toward 6G: A comprehensive survey
Nowadays, many disruptive Internet-of-Things (IoT) applications emerge, such as
augmented/virtual reality online games, autonomous driving, and smart everything, which …
augmented/virtual reality online games, autonomous driving, and smart everything, which …
Deep reinforcement learning for autonomous internet of things: Model, applications and challenges
The Internet of Things (IoT) extends the Internet connectivity into billions of IoT devices
around the world, where the IoT devices collect and share information to reflect status of the …
around the world, where the IoT devices collect and share information to reflect status of the …
Machine learning techniques in emerging cloud computing integrated paradigms: A survey and taxonomy
Cloud computing offers Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and
Software as a Service (SaaS) to provide compute, network, and storage capabilities to the …
Software as a Service (SaaS) to provide compute, network, and storage capabilities to the …
DNN-based indoor localization under limited dataset using GANs and semi-supervised learning
Indoor localization techniques based on supervised learning deliver great performance
accuracy while maintaining low online complexity. However, such systems require massive …
accuracy while maintaining low online complexity. However, such systems require massive …
From cloud down to things: An overview of machine learning in internet of things
With the numerous Internet of Things (IoT) devices, the cloud-centric data processing fails to
meet the requirement of all IoT applications. The limited computation and communication …
meet the requirement of all IoT applications. The limited computation and communication …
Industrial internet of things: Requirements, architecture, challenges, and future research directions
Industry 4.0 relates to the digital revolution of manufacturing and other sectors, such as
retail, distribution, oil and gas, and infrastructure. Meanwhile, the Industrial Internet of Things …
retail, distribution, oil and gas, and infrastructure. Meanwhile, the Industrial Internet of Things …
A survey on machine learning in Internet of Things: Algorithms, strategies, and applications
In the IoT and WSN era, large number of connected objects and sensing devices are
dedicated to collect, transfer, and generate a huge amount of data for a wide variety of fields …
dedicated to collect, transfer, and generate a huge amount of data for a wide variety of fields …
Artificial intelligence implication on energy sustainability in Internet of Things: A survey
The massive number of Internet of Things (IoT) devices connected to the Internet is
continuously increasing. The operations of these devices rely on consuming huge amounts …
continuously increasing. The operations of these devices rely on consuming huge amounts …
The narrowband Internet of Things (NB-IoT) resources management performance state of art, challenges, and opportunities
The Narrowband Internet of Things (NB-IoT) has been introduced in the 3rd Generation
Partnership Project (3GPP) Rel-13 with the aim to provide low-cost, low-power, wide-area …
Partnership Project (3GPP) Rel-13 with the aim to provide low-cost, low-power, wide-area …
A survey on deep learning based channel estimation in doubly dispersive environments
AK Gizzini, M Chafii - IEEE Access, 2022 - ieeexplore.ieee.org
Wireless communications systems are impacted by multi-path fading and Doppler shift in
dynamic environments, where the channel becomes doubly-dispersive and its estimation …
dynamic environments, where the channel becomes doubly-dispersive and its estimation …