Generative AI for physical layer communications: A survey
The recent evolution of generative artificial intelligence (GAI) leads to the emergence of
groundbreaking applications such as ChatGPT, which not only enhances the efficiency of …
groundbreaking applications such as ChatGPT, which not only enhances the efficiency of …
SCAN: Semantic communication with adaptive channel feedback
In existing semantic communication systems for image transmission, some images are
generally reconstructed with considerably low quality. As a result, the reliable transmission …
generally reconstructed with considerably low quality. As a result, the reliable transmission …
Knowledge-driven deep learning paradigms for wireless network optimization in 6G
In the sixth-generation (6G) networks, newly emerging diversified services of massive users
in dynamic network environments are required to be satisfied by multi-dimensional …
in dynamic network environments are required to be satisfied by multi-dimensional …
The interplay of ai and digital twin: Bridging the gap between data-driven and model-driven approaches
The evolution of network virtualization and native artificial intelligence (AI) paradigms have
conceptualized the vision of future wireless networks as a comprehensive entity operating in …
conceptualized the vision of future wireless networks as a comprehensive entity operating in …
Artificial Intelligence for Wireless Physical-Layer Technologies (AI4PHY): A Comprehensive Survey
N Ye, S Miao, J Pan, Q Ouyang, X Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Artificial intelligence (AI) has become a promising solution for meeting the stringent
performance requirements on wireless physical layer in sixth-generation (6G) …
performance requirements on wireless physical layer in sixth-generation (6G) …
A hypernetwork based framework for non-stationary channel prediction
G Liu, Z Hu, L Wang, H Zhang, J Xue… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In order to break through the development bottleneck of modern wireless communication
networks, a critical issue is the out-of-date channel state information (CSI) in high mobility …
networks, a critical issue is the out-of-date channel state information (CSI) in high mobility …
Bayes-Optimal Unsupervised Learning for Channel Estimation in Near-Field Holographic MIMO
Holographic MIMO (HMIMO) is being increasingly recognized as a key enabling technology
for 6G wireless systems through the deployment of an extremely large number of antennas …
for 6G wireless systems through the deployment of an extremely large number of antennas …
Generative AI for the Optimization of Next-Generation Wireless Networks: Basics, State-of-the-Art, and Open Challenges
F Khoramnejad, E Hossain - arXiv preprint arXiv:2405.17454, 2024 - arxiv.org
Next-generation (xG) wireless networks, with their complex and dynamic nature, present
significant challenges to using traditional optimization techniques. Generative AI (GAI) …
significant challenges to using traditional optimization techniques. Generative AI (GAI) …
Soft-Output Deep LAS Detection for Coded MIMO Systems: A Learning-Aided LLR Approximation
The multiple-input-multiple-output-orthogonal frequency division multiplexing (MIMO-OFDM)
receiver aims to softly decode the transmitted information from the observed received signal …
receiver aims to softly decode the transmitted information from the observed received signal …
{NN-Defined} Modulator: Reconfigurable and Portable Software Modulator on {IoT} Gateways
A physical-layer modulator is a vital component for an IoT gateway to map the symbols to
signals. However, due to the soldered hardware chipsets on the gateway's motherboards or …
signals. However, due to the soldered hardware chipsets on the gateway's motherboards or …