Application of machine learning in electromagnetics: Mini-review

MSI Sagar, H Ouassal, AI Omi, A Wisniewska… - Electronics, 2021 - mdpi.com
As an integral part of the electromagnetic system, antennas are becoming more advanced
and versatile than ever before, thus making it necessary to adopt new techniques to …

Channel autoencoder for wireless communication: State of the art, challenges, and trends

C Zou, F Yang, J Song, Z Han - IEEE Communications …, 2021 - ieeexplore.ieee.org
To tackle the sub-optimization problem of the conventional block structure communication
systems, recently, a novel concept named end-to-end communication system that can …

Generative adversarial networks based digital twin channel modeling for intelligent communication networks

Y Zhang, R He, B Ai, M Yang, R Chen… - China …, 2023 - ieeexplore.ieee.org
Integration of digital twin (DT) and wireless channel provides new solution of channel
modeling and simulation, and can assist to design, optimize and evaluate intelligent …

Machine learning empowered spectrum sensing under a sub-sampling framework

H Zhang, J Yang, Y Gao - IEEE transactions on wireless …, 2022 - ieeexplore.ieee.org
Compressive sensing (CS) is a technique frequently adopted in wireless communications.
By utilizing CS, a receiver could sense the state of channels with sub-Nyquist analog to …

Deep learning in physical layer communications: Evolution and prospects in 5G and 6G networks

C Mao, Z Mu, Q Liang, I Schizas, C Pan - IET Communications, 2023 - Wiley Online Library
With the rapid development of the communication industry in the fifth generation and the
advance towards the intelligent society of the sixth generation wireless networks, traditional …

Optimal Multi-Level Amplitude-Shift Keying for Non-Coherent SIMO Wireless System in Rician Fading Environment

BR Reddy, SP Dash, D Ghose - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this paper, we consider a receive diversity wireless communication system with the
transmitter employing multi-level amplitude-shift keying (ASK) signaling scheme for data …

AI-Native Air Interface

J Guo, CK Wen, S Jin - Fundamentals of 6G Communications and …, 2023 - Springer
In this chapter, we explore the use of artificial intelligence (AI) as a key technology in the
next generation of mobile communications. AI can utilize the predictive power of data to …

AI-Native Communications

H Baek, H Lee, S Park, H Lee, J Park, J Kim - Fundamentals of 6G …, 2023 - Springer
The emergence of artificial intelligence (AI)-based methods evolving from 5G to 6G is
accelerating. Therefore, to optimize the communication system in the 6G era, it is essential to …

Bidirectional IoT device identification based on radio frequency fingerprint reciprocity

M Liu, X Han, N Liu, L Peng - ICC 2021-IEEE International …, 2021 - ieeexplore.ieee.org
Existing research on Radio Frequency Fingerprint (RFF) mainly focus on unilateral device
identification in one communication direction. In practice, it is difficult for IoT devices to …

Theoretical Model and Experiments of Focused Phased Array for Cross-Medium Communication in Misaligned Transmitter/Receiver Scenarios

J Qian, F Qu, J Su, Y Wei, M Cheng… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Direct communication across the water-air interface has attracted wide attention because of
its potential applications in integrated air-sea networking. In this article, three different cross …