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Found 5 papers, 0 papers with code
Data-Driven Subsampling in the Presence of an Adversarial Actor
In this paper, we investigate the effects of an adversarial attack on an AMC system that employs deep learning models both for AMC and for subsampling.
Deep OFDM Channel Estimation: Capturing Frequency Recurrence
In this paper, we propose a deep-learning-based channel estimation scheme in an orthogonal frequency division multiplexing (OFDM) system.
Unsupervised Learning for Pilot-free Transmission in 3GPP MIMO Systems
This paper introduces a new downlink data structure that is free from demodulation reference signals (DM-RS), and hence does not require any channel estimation at the receiver.
Vandermonde Constrained Tensor Decomposition for Hybrid Beamforming in Multi-Carrier MIMO Systems
The proposed method strikes the balance between performance, overhead and complexity.
Optimizing Camera Placements for Overlapped Coverage with 3D Camera Projections
This paper proposes a method to compute camera 6Dof poses to achieve a user defined coverage.
