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Found 4 papers, 1 papers with code
Toward an AI-enabled Connected Industry: AGV Communication and Sensor Measurement Datasets
This paper presents two wireless measurement campaigns in industrial testbeds: industrial Vehicle-to-vehicle (iV2V) and industrial Vehicle-to-infrastructure plus Sensor (iV2I+), together with detailed information about the two captured datasets.
Inverse Feasibility in Over-the-Air Federated Learning
We introduce the concept of inverse feasibility for linear forward models as a tool to enhance OTA FL algorithms.
Deep Learning Beam Optimization in Millimeter-Wave Communication Systems
We propose a method that combines fixed point algorithms with a neural network to optimize jointly discrete and continuous variables in millimeter-wave communication systems, so that the users' rates are allocated fairly in a well-defined sense.
Deep Learning Based Hybrid Precoding in Dual-Band Communication Systems
To overcome the issue of large signalling overhead in the mmWave band, the proposed method exploits the spatiotemporal correlation between sub-6GHz and mmWave bands, and it predicts/tracks the RF precoders in the mmWave band from sub-6GHz channel measurements.
