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Transfer Learning for CSI-based Positioning with Multi-environment Meta-learning
To train such a two-part model, we propose the multi-environment meta-learning (MEML) approach for the first part to facilitate training across various environments, while the second part of the model is trained solely on data from a specific environment.
Deep Learning based Positioning with Multi-task Learning and Uncertainty-based Fusion
We also show that the fusion of multiple outputs further benefits from considering the uncertainty of the output of the DL model at each BS.
Non-uniform array design for robust LoS MIMO via convex optimization
To that end, the joint design of nonuniform Tx and Rx arrays towards maximizing the minimum capacity of a LoS MIMO system across a range of transmit distances is investigated in this paper.
Multi-Environment based Meta-Learning with CSI Fingerprints for Radio Based Positioning
To improve transfer learning, we propose a meta learning scheme for training the first part over multiple environments.
Towards Integrated Sensing and Communications for 6G
For the next generation of mobile communications systems, the integration of sensing and communications promises benefits in terms of spectrum utilization, cost, latency, area and weight.
Low Latency Scheduling Algorithms for Full-Duplex V2X Networks
Vehicular communication systems have been an active subject of research for many years and are important technologies in the 5G and the post-5G era.
Autonomous Driving
Information Theory
Signal Processing
Information Theory
