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Found 6 papers, 0 papers with code
Collaborative Edge AI Inference over Cloud-RAN
To realize efficient uplink feature aggregation, we allow each RRH receives local feature vectors from all devices over the same resource blocks simultaneously by leveraging an over-the-air computation (AirComp) technique.
Joint Beamforming Coordination and User Selection for CoMP Enabled NR-U Networks
In this work, we introduce a CoMP based NR-U network, particularly for 6G enabled massive IoT scenarios.
Distributed Auto-Learning GNN for Multi-Cell Cluster-Free NOMA Communications
A multi-cell cluster-free NOMA framework is proposed, where both intra-cell and inter-cell interference are jointly mitigated via flexible cluster-free successive interference cancellation (SIC) and coordinated beamforming design.
Semi-asynchronous Hierarchical Federated Learning for Cooperative Intelligent Transportation Systems
Cooperative Intelligent Transport System (C-ITS) is a promising network to provide safety, efficiency, sustainability, and comfortable services for automated vehicles and road infrastructures by taking advantages from participants.
Millimeter-Wave NR-U and WiGig Coexistence: Joint User Grouping, Beam Coordination and Power Control
Our aim for the proposed coexistence network is to maximize the spectral efficiency while ensuring the strict NR-U delay requirement and the WiGig transmission performance in real time environments.
Graph-Embedded Multi-Agent Learning for Smart Reconfigurable THz MIMO-NOMA Networks
With the accelerated development of immersive applications and the explosive increment of internet-of-things (IoT) terminals, 6G would introduce terahertz (THz) massive multiple-input multiple-output non-orthogonal multiple access (MIMO-NOMA) technologies to meet the ultra-high-speed transmission and massive connectivity requirements.
