Beyond deep reinforcement learning: A tutorial on generative diffusion models in network optimization

H Du, R Zhang, Y Liu, J Wang, Y Lin, Z Li… - arXiv preprint arXiv …, 2023 - arxiv.org
Generative Diffusion Models (GDMs) have emerged as a transformative force in the realm of
Generative Artificial Intelligence (GAI), demonstrating their versatility and efficacy across a …

Intelligent multi-modal sensing-communication integration: Synesthesia of machines

X Cheng, H Zhang, J Zhang, S Gao, S Li… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
In the era of sixth-generation (6G) wireless communications, integrated sensing and
communications (ISAC) is recognized as a promising solution to upgrade the physical …

Deep learning for fading channel prediction

W Jiang, HD Schotten - IEEE Open Journal of the …, 2020 - ieeexplore.ieee.org
Channel state information (CSI), which enables wireless systems to adapt their transmission
parameters to instantaneous channel conditions and consequently achieve great …

Artificial intelligence for 5G and beyond 5G: Implementations, algorithms, and optimizations

C Zhang, YL Ueng, C Studer… - IEEE Journal on Emerging …, 2020 - ieeexplore.ieee.org
The communication industry is rapidly advancing towards 5G and beyond 5G (B5G) wireless
technologies in order to fulfill the ever-growing needs for higher data rates and improved …

OFDM-guided deep joint source channel coding for wireless multipath fading channels

M Yang, C Bian, HS Kim - IEEE Transactions on Cognitive …, 2022 - ieeexplore.ieee.org
We investigate joint source channel coding (JSCC) for wireless image transmission over
multipath fading channels. Inspired by recent works on deep learning based JSCC and …

Deep learning-aided 6G wireless networks: A comprehensive survey of revolutionary PHY architectures

B Ozpoyraz, AT Dogukan, Y Gevez… - IEEE Open Journal …, 2022 - ieeexplore.ieee.org
Deep learning (DL) has proven its unprecedented success in diverse fields such as
computer vision, natural language processing, and speech recognition by its strong …

Deep learning based channel estimation algorithm for fast time-varying MIMO-OFDM systems

Y Liao, Y Hua, Y Cai - IEEE Communications Letters, 2019 - ieeexplore.ieee.org
Channel estimation is very challenging for multiple-input and multiple-output orthogonal
frequency division multiplexing (MIMO-OFDM) systems in high mobility environments with …

NLOS detection using UWB channel impulse responses and convolutional neural networks

M Stahlke, S Kram, C Mutschler… - … on Localization and …, 2020 - ieeexplore.ieee.org
Indoor environments often pose challenges to RFbased positioning systems. Typically,
objects within the environment influence the signal propagation due to absorption, reflection …

Deep learning based physical layer security for terrestrial communications in 5G and beyond networks: A survey

H Sharma, N Kumar - Physical Communication, 2023 - Elsevier
The key principle of physical layer security (PLS) is to permit the secure transmission of
confidential data using efficient signal-processing techniques. Also, deep learning (DL) has …

Intelligent radio signal processing: A survey

QV Pham, NT Nguyen, T Huynh-The, LB Le… - IEEE …, 2021 - ieeexplore.ieee.org
Intelligent signal processing for wireless communications is a vital task in modern wireless
systems, but it faces new challenges because of network heterogeneity, diverse service …