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Self-powered sensing systems with learning capability
Self-powered sensing systems augmented with machine learning (ML) represent a path
toward the large-scale deployment of the internet of things (IoT). With autonomous energy …
toward the large-scale deployment of the internet of things (IoT). With autonomous energy …
Application of reinforcement learning and deep learning in multiple-input and multiple-output (MIMO) systems
The current wireless communication infrastructure has to face exponential development in
mobile traffic size, which demands high data rate, reliability, and low latency. MIMO systems …
mobile traffic size, which demands high data rate, reliability, and low latency. MIMO systems …
A survey on deep learning based channel estimation in doubly dispersive environments
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 …
Defensive distillation-based adversarial attack mitigation method for channel estimation using deep learning models in next-generation wireless networks
Future wireless networks (5G and beyond), also known as Next Generation or NextG, are
the vision of forthcoming cellular systems, connecting billions of devices and people …
the vision of forthcoming cellular systems, connecting billions of devices and people …
Enhancing channel estimation accuracy in polar-coded MIMO–OFDM systems via CNN with 5G channel models
In this paper, a novel channel estimation technique for multiple-input multiple-output
orthogonal frequency-division multiplexing (MIMO–OFDM) systems in fifth generation (5G) …
orthogonal frequency-division multiplexing (MIMO–OFDM) systems in fifth generation (5G) …
A survey on machine learning techniques for massive MIMO configurations: Application areas, performance limitations and future challenges
PK Gkonis - IEEE Access, 2022 - ieeexplore.ieee.org
The deployment of fifth-generation (5G) broadband wireless cellular networks has enabled
the support of highly demanding applications, paving the way towards global broadband …
the support of highly demanding applications, paving the way towards global broadband …
[HTML][HTML] Integration of network slicing and machine learning into edge networks for low-latency services in 5G and beyond systems
Fifth-generation (5G) and beyond networks are envisioned to serve multiple emerging
applications having diverse and strict quality of service (QoS) requirements. To meet ultra …
applications having diverse and strict quality of service (QoS) requirements. To meet ultra …
Key technologies for 6G-enabled smart sustainable city
With the advancement of information and communication technologies (ICTs), the way we
live and communicate with each other is changing rapidly. As urban environments continue …
live and communicate with each other is changing rapidly. As urban environments continue …
Deep learning-based improved cascaded channel estimation and signal detection for reconfigurable intelligent surfaces-assisted MU-MISO systems
Reconfigurable intelligent surface (RIS) consists of cost-effective passive elements which
can be utilized in different scenarios in next-generation wireless communication. Deep …
can be utilized in different scenarios in next-generation wireless communication. Deep …
Telemedicine and smart healthcare—the role of artificial intelligence, 5G, cloud services, and other enabling technologies
This paper discusses telemedicine and the employment of advanced mobile technologies in
smart healthcare delivery. It covers the technological advances in connected smart …
smart healthcare delivery. It covers the technological advances in connected smart …