Self-powered sensing systems with learning capability

A Alagumalai, W Shou, O Mahian, M Aghbashlo… - Joule, 2022 - cell.com
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 …

Application of reinforcement learning and deep learning in multiple-input and multiple-output (MIMO) systems

M Naeem, G De Pietro, A Coronato - Sensors, 2021 - mdpi.com
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 …

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 …

Integration of network slicing and machine learning into edge networks for low-latency services in 5G and beyond systems

A Domeke, B Cimoli, IT Monroy - Applied Sciences, 2022 - mdpi.com
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 …

Defensive distillation-based adversarial attack mitigation method for channel estimation using deep learning models in next-generation wireless networks

FO Catak, M Kuzlu, E Catak, U Cali, O Guler - IEEE Access, 2022 - ieeexplore.ieee.org
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 …

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 …

Deep learning-based improved cascaded channel estimation and signal detection for reconfigurable intelligent surfaces-assisted MU-MISO systems

MH Rahman, MAS Sejan, MA Aziz… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Reconfigurable intelligent surface (RIS) consists of cost-effective passive elements which
can be utilized in different scenarios in next-generation wireless communication. Deep …

[HTML][HTML] Telemedicine and smart healthcare—the role of artificial intelligence, 5G, cloud services, and other enabling technologies

TA Suleiman, A Adinoyi - International Journal of Communications …, 2023 - scirp.org
This paper discusses telemedicine and the employment of advanced mobile technologies in
smart healthcare delivery. It covers the technological advances in connected smart …

Developing novel channel estimation and hybrid precoding in millimeter-wave communication system using heuristic-based deep learning

CV Ravikumar - Energy, 2023 - Elsevier
The digital or analog precoders are not carried the optimal energy efficiency in the mm-wave
massive MIMO and so, every antenna is needed with one radio frequency chain in the …

Enhancing channel estimation accuracy in polar-coded MIMO–OFDM systems via CNN with 5G channel models

M Meenalakshmi, S Chaturvedi, VK Dwivedi - AEU-International Journal of …, 2024 - Elsevier
In this paper, a novel channel estimation technique for multiple-input multiple-output
orthogonal frequency-division multiplexing (MIMO–OFDM) systems in fifth generation (5G) …