Revolutionizing future connectivity: A contemporary survey on AI-empowered satellite-based non-terrestrial networks in 6G
Non-Terrestrial Networks (NTN) are expected to be a critical component of 6th Generation
(6G) networks, providing ubiquitous, continuous, and scalable services. Satellites emerge as …
(6G) networks, providing ubiquitous, continuous, and scalable services. Satellites emerge as …
Semi-federated learning for connected intelligence with computing-heterogeneous devices
J Han, W Ni, L Li - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Federated learning (FL) is a promising distributed learning approach which enables multiple
devices to collaboratively train deep neural networks in a privacy-preserving fashion …
devices to collaboratively train deep neural networks in a privacy-preserving fashion …
AI/ML for Beam Management in 5G-Advanced
In beamformed wireless cellular systems such as 5G New Radio (NR) networks, beam
management (BM) is a crucial operation. In the second phase of 5G NR standardization …
management (BM) is a crucial operation. In the second phase of 5G NR standardization …
DLLF-2EN: Energy-Efficient Next Generation Mobile Network With Deep Learning-Based Load Forecasting
The exponential growth of mobile data traffic in next generation networks has led to a
significant increase in energy consumption, posing critical challenges for network operators …
significant increase in energy consumption, posing critical challenges for network operators …
Federated Generative-Adversarial-Network-Enabled Channel Estimation
Accurately estimating channel state information is essential for meeting the quality-of-service
requirements of modern applications and scenarios. Deep learning techniques have proven …
requirements of modern applications and scenarios. Deep learning techniques have proven …
AI/ML FOR BEAM MANAGEMENT IN 5G-ADVANCED: A Standardization Perspective
In beamformed wireless cellular systems, such as 5G New Radio (NR) networks, beam
management (BM) is a crucial operation. In the second phase of 5G NR standardization …
management (BM) is a crucial operation. In the second phase of 5G NR standardization …
Snake Learning: A Communication-and Computation-Efficient Distributed Learning Framework for 6G
In the evolution towards 6G, integrating Artificial Intelligence (AI) with advanced network
infrastructure emerges as a pivotal strategy for enhancing network intelligence and resource …
infrastructure emerges as a pivotal strategy for enhancing network intelligence and resource …
Learning Based CSI Look Up Table: A Novel Vector Quantization Approach for High Accuracy CSI Reconstruction
To fully exploit the benefits of spatial multiplexing gains within Frequency Division Duplex
(FDD) Multiple-Input Multiple-Output (MIMO) systems, the development of a robust Channel …
(FDD) Multiple-Input Multiple-Output (MIMO) systems, the development of a robust Channel …
Backdoor Attacks on Multi-Agent Reinforcement Learning-based Spectrum Management
H Zhang, M Liu, Y Chen - GLOBECOM 2023-2023 IEEE Global …, 2023 - ieeexplore.ieee.org
Effective spectrum management control through multi-agent deep reinforcement learning
holds promising potential for advancing wireless communication systems. However …
holds promising potential for advancing wireless communication systems. However …
[PDF][PDF] Federated learning with generative models for wireless communications
Y Guo - 2024 - qmro.qmul.ac.uk
The rapid evolution of wireless technologies and applications has catapulted us into an era
where real-time data processing and low latency are more critical than ever. With significant …
where real-time data processing and low latency are more critical than ever. With significant …