Deep learning-based CSI feedback approach for time-varying massive MIMO channels
Massive multiple-input multiple-output (MIMO) systems rely on channel state information
(CSI) feedback to perform precoding and achieve performance gain in frequency division …
(CSI) feedback to perform precoding and achieve performance gain in frequency division …
Artificial intelligence enabled wireless networking for 5G and beyond: Recent advances and future challenges
5G wireless communication networks are currently being deployed, and B5G networks are
expected to be developed over the next decade. AI technologies and, in particular, ML have …
expected to be developed over the next decade. AI technologies and, in particular, ML have …
Convolutional neural network-based multiple-rate compressive sensing for massive MIMO CSI feedback: Design, simulation, and analysis
Massive multiple-input multiple-output (MIMO) is a promising technology to increase link
capacity and energy efficiency. However, these benefits are based on available channel …
capacity and energy efficiency. However, these benefits are based on available channel …
AMP-inspired deep networks for sparse linear inverse problems
M Borgerding, P Schniter… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Deep learning has gained great popularity due to its widespread success on many inference
problems. We consider the application of deep learning to the sparse linear inverse …
problems. We consider the application of deep learning to the sparse linear inverse …
Toward intelligent vehicular networks: A machine learning framework
As wireless networks evolve toward high mobility and providing better support for connected
vehicles, a number of new challenges arise due to the resulting high dynamics in vehicular …
vehicles, a number of new challenges arise due to the resulting high dynamics in vehicular …
Towards artificial intelligence enabled 6G: State of the art, challenges, and opportunities
S Zhang, D Zhu - Computer Networks, 2020 - Elsevier
Abstract 6G is expected to support the unprecedented Internet of everything scenarios with
extremely diverse and challenging requirements. To fulfill such diverse requirements …
extremely diverse and challenging requirements. To fulfill such diverse requirements …
Joint channel estimation and signal recovery for RIS-empowered multiuser communications
Reconfigurable intelligent surfaces (RISs) have been recently considered as a promising
candidate for energy-efficient solutions in future wireless networks. Their dynamic and low …
candidate for energy-efficient solutions in future wireless networks. Their dynamic and low …
Mobility support for millimeter wave communications: Opportunities and challenges
Millimeter-wave (mmWave) communication technology offers a potential and promising
solution to support 5G and B5G wireless networks in dynamic scenarios and applications …
solution to support 5G and B5G wireless networks in dynamic scenarios and applications …
Blockchain and AI technology convergence: Applications in transportation systems
The blockchain and artificial intelligence (AI) have been the focal point of innovations and
received increasing attention of the community over the last years. The blockchain …
received increasing attention of the community over the last years. The blockchain …
Massive MIMO channel estimation with an untrained deep neural network
This paper proposes a deep learning-based channel estimation method for multi-cell
interference-limited massive MIMO systems, in which base stations equipped with a large …
interference-limited massive MIMO systems, in which base stations equipped with a large …