Regularized Neural Detection for One-Bit Massive MIMO Communication Systems

no code implementations • 24 May 2023 • Aditya Sant, Bhaskar D. Rao

The numerical results show that the combination of the DNN-augmented regularized GD and constellation-based loss function improve the quality of our one-bit detector, especially for higher order M-QAM constellations.

General Total Variation Regularized Sparse Bayesian Learning for Robust Block-Sparse Signal Recovery

no code implementations • 13 Feb 2021 • Aditya Sant, Markus Leinonen, Bhaskar D. Rao

Block-sparse signal recovery without knowledge of block sizes and boundaries, such as those encountered in multi-antenna mmWave channel models, is a hard problem for compressed sensing (CS) algorithms.