Machine learning for large-scale optimization in 6g wireless networks
The sixth generation (6G) wireless systems are envisioned to enable the paradigm shift from
“connected things” to “connected intelligence”, featured by ultra high density, large-scale …
“connected things” to “connected intelligence”, featured by ultra high density, large-scale …
Over-the-Air Computation for 6G: Foundations, Technologies, and Applications
The rapid advancement of artificial intelligence technologies has given rise to diversified
intelligent services, which place unprecedented demands on massive connectivity and …
intelligent services, which place unprecedented demands on massive connectivity and …
Trustworthy federated learning via blockchain
The safety-critical scenarios of artificial intelligence (AI), such as autonomous driving,
Internet of Things, smart healthcare, etc., have raised critical requirements of trustworthy AI …
Internet of Things, smart healthcare, etc., have raised critical requirements of trustworthy AI …
A graph neural network learning approach to optimize RIS-assisted federated learning
Over-the-air federated learning (FL) is a promising privacy-preserving edge artificial
intelligence paradigm, where over-the-air computation enables spectral-efficient model …
intelligence paradigm, where over-the-air computation enables spectral-efficient model …
Graph Attention-based MADRL for Access Control and Resource Allocation in Wireless Networked Control Systems
Wireless networked control systems (WNCS) offer great potential for revolutionizing the
industrial automation by enabling wireless coordination between sensors, decision centers …
industrial automation by enabling wireless coordination between sensors, decision centers …
Dynamic Algorithm for Interference Mitigation Between Cells in Networks Operating in the 250 MHz Band
DC Melgarejo, LQR Da Costa Filho… - IEEE …, 2022 - ieeexplore.ieee.org
The growing demand for Internet of Things (IoT) applications in agribusiness increases the
necessity of reliable and secure connectivity in rural areas. Thus, in the particular case of …
necessity of reliable and secure connectivity in rural areas. Thus, in the particular case of …
Over-the-Air Federated Graph Learning
Message-passing graph neural network (MPGNN) shows tremendous promise in modeling
complex networks by capturing the interaction among vertices via the messaging-passing …
complex networks by capturing the interaction among vertices via the messaging-passing …
BIO-SD: A Blockchain-Empowered Intelligent Resource Management for Symbiotic Devices
Symbiotic communication (SC), exploiting the analogy of biological ecosystem to establish
communication device ecosystems, can enable cooperative service/resource exchanges …
communication device ecosystems, can enable cooperative service/resource exchanges …
Fast-Fading Channel and Power Optimization of the Magnetic Inductive Cellular Network
The cellular network of magnetic Induction (MI) communication holds promise in long-
distance underground environments. In the traditional MI communication, there is no fast …
distance underground environments. In the traditional MI communication, there is no fast …
Hybrid spectrum access for V2V heterogeneous networks with deep reinforcement learning
J Huang, J Peng, H Xiang, L Li… - 2022 14th International …, 2022 - ieeexplore.ieee.org
This paper studies the hybrid spectrum access for cellular vehicle-to-vehicle (V2V)
heterogeneous networks (Het-Nets) exploiting deep reinforcement learning (DRL) …
heterogeneous networks (Het-Nets) exploiting deep reinforcement learning (DRL) …