Beyond deep reinforcement learning: A tutorial on generative diffusion models in network optimization
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 …
Generative Artificial Intelligence (GAI), demonstrating their versatility and efficacy across a …
Intelligent multi-modal sensing-communication integration: Synesthesia of machines
In the era of sixth-generation (6G) wireless communications, integrated sensing and
communications (ISAC) is recognized as a promising solution to upgrade the physical …
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 …
parameters to instantaneous channel conditions and consequently achieve great …
Artificial intelligence for 5G and beyond 5G: Implementations, algorithms, and optimizations
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 …
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
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 …
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
Deep learning (DL) has proven its unprecedented success in diverse fields such as
computer vision, natural language processing, and speech recognition by its strong …
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 …
frequency division multiplexing (MIMO-OFDM) systems in high mobility environments with …
NLOS detection using UWB channel impulse responses and convolutional neural networks
Indoor environments often pose challenges to RFbased positioning systems. Typically,
objects within the environment influence the signal propagation due to absorption, reflection …
objects within the environment influence the signal propagation due to absorption, reflection …
Intelligent radio signal processing: A survey
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 …
systems, but it faces new challenges because of network heterogeneity, diverse service …
Deep learning based physical layer security for terrestrial communications in 5G and beyond networks: A survey
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 …
confidential data using efficient signal-processing techniques. Also, deep learning (DL) has …