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 …

[HTML][HTML] 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 …

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 …

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 …

[HTML][HTML] 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 …

[HTML][HTML] A Low-Complexity Algorithm for a Reinforcement Learning-Based Channel Estimator for MIMO Systems

TK Kim, M Min - Sensors, 2022 - mdpi.com
This paper proposes a low-complexity algorithm for a reinforcement learning-based channel
estimator for multiple-input multiple-output systems. The proposed channel estimator utilizes …

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 …

[PDF][PDF] Bi-LSTM based deep learning method for 5G signal detection and channel estimation

DV Ratnam, KN Rao - AIMS Electronics and Electrical Engineering, 2021 - aimspress.com
The advanced neural network methods solve significant signal estimation and channel
characterization difficulties in the next-generation 5G wireless communication systems. The …