Overview of deep learning-based CSI feedback in massive MIMO systems
Many performance gains achieved by massive multiple-input and multiple-output depend on
the accuracy of the downlink channel state information (CSI) at the transmitter (base station) …
the accuracy of the downlink channel state information (CSI) at the transmitter (base station) …
Reconfigurable intelligent surfaces: Channel characterization and modeling
Reconfigurable intelligent surfaces (RISs) are 2-D metasurfaces, which can intelligently
manipulate electromagnetic waves by low-cost near passive reflecting elements. RIS is …
manipulate electromagnetic waves by low-cost near passive reflecting elements. RIS is …
Generative adversarial networks based digital twin channel modeling for intelligent communication networks
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 …
modeling and simulation, and can assist to design, optimize and evaluate intelligent …
Cell-free networking for integrated data and energy transfer: Digital twin based double parameterized DQN for energy sustainability
Cell-free networking enables full cooperation among distributed access points (APs). This
paper focuses on reducing the long-term energy consumption of a cell-free network in the …
paper focuses on reducing the long-term energy consumption of a cell-free network in the …
Rem-u-net: Deep learning based agile rem prediction with energy-efficient cell-free use case
Radio environment maps (REMs) hold a central role in optimizing wireless network
deployment, enhancing network performance, and ensuring effective spectrum …
deployment, enhancing network performance, and ensuring effective spectrum …
AI enlightens wireless communication: A transformer backbone for CSI feedback
X Han, W Zhiqin, L Dexin, T Wenqiang… - China …, 2024 - ieeexplore.ieee.org
This paper is based on the background of the 2nd Wireless Communication Artificial
Intelligence (AI) Competition (WAIC) which is hosted by IMT-2020 (5G) Promotion Group …
Intelligence (AI) Competition (WAIC) which is hosted by IMT-2020 (5G) Promotion Group …
Federated generative adversarial networks based channel estimation
With the rapid growth of connectivity and demands on reliable communications, channel
estimation becomes a critical problem. Recently, the advancement of deep learning enables …
estimation becomes a critical problem. Recently, the advancement of deep learning enables …
Deep Learning Aided Secure Transmission in Wirelessly Powered Untrusted Relaying in the Face of Hardware Impairments
V Shahiri, M Forouzesh, H Behroozi… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
Limited power and computational resources make the employment of complex classical
encryption schemes unrealistic in resource-limited networks, eg, the Internet of Things (IoT) …
encryption schemes unrealistic in resource-limited networks, eg, the Internet of Things (IoT) …
A GAN-GRU Based Space-Time Predictive Channel Model for 6G Wireless Communications
The advent of sixth-generation (6 G) wireless communications has posed significant
challenges to channel modeling. Channel measurements cannot cover all scenarios and …
challenges to channel modeling. Channel measurements cannot cover all scenarios and …
Generative diffusion models for radio wireless channel modelling and sampling
U Sengupta, C Jao, A Bernacchia… - … 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
Channel modelling is essential to designing modern wireless communication systems. The
increasing complexity of channel modelling and the cost of collecting high-quality wireless …
increasing complexity of channel modelling and the cost of collecting high-quality wireless …