11 citations · 30 across the 13 of their papers we have counts for
7 papers · 1 filter
Spatially Sparse Precoding in Wideband Hybrid Terahertz Massive MIMO Systems
Jiabao Gao, Caijun Zhong, Geoffrey Ye Li +2
In terahertz (THz) massive multiple-input multiple-output (MIMO) systems, the combination of huge bandwidth and massive antennas results in severe beam split, thus making the conve…
Learning Perturbations for Soft-Output Linear MIMO Demappers
Daniel E. Worrall, Markus Peschl, Arash Behboodi +1
Tree-based demappers for multiple-input multiple-output (MIMO) detection such as the sphere decoder can achieve near-optimal performance but incur high computational cost due to th…
Deep Learning-based Channel Estimation for Wideband Hybrid MmWave Massive MIMO
Jiabao Gao, Caijun Zhong, Geoffrey Ye Li +2
Hybrid analog-digital (HAD) architecture is widely adopted in practical millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems to reduce hardware cost and e…
MIMO-GAN: Generative MIMO Channel Modeling
Tribhuvanesh Orekondy, Arash Behboodi, Joseph B. Soriaga
We propose generative channel modeling to learn statistical channel models from channel input-output measurements. Generative channel models can learn more complicated distribution…
Neural RF SLAM for unsupervised positioning and mapping with channel state information
Shreya Kadambi, Arash Behboodi, Joseph B. Soriaga +4
We present a neural network architecture for jointly learning user locations and environment mapping up to isometry, in an unsupervised way, from channel state information (CSI) va…
Sensing Matrix Design and Sparse Recovery on the Sphere and the Rotation Group
Arya Bangun, Arash Behboodi, Rudolf Mathar
In this paper, {the goal is to design deterministic sampling patterns on the sphere and the rotation group} and, thereby, construct sensing matrices for sparse recovery of band-lim…