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Multi-Modal Beam Prediction Challenge 2022: Towards Generalization


Sep 15, 2022
Gouranga Charan, Umut Demirhan, João Morais, Arash Behboodi, Hamed Pezeshki, Ahmed Alkhateeb

* The dataset is available on the ML competition page: https://deepsense6g.net/multi-modal-beam-prediction-challenge/ 

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Quantized Sparse Weight Decomposition for Neural Network Compression


Jul 22, 2022
Andrey Kuzmin, Mart van Baalen, Markus Nagel, Arash Behboodi


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Equivariant Priors for Compressed Sensing with Unknown Orientation


Jun 28, 2022
Anna Kuzina, Kumar Pratik, Fabio Valerio Massoli, Arash Behboodi


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Position Aided Beam Prediction in the Real World: How Useful GPS Locations Actually Are?


May 23, 2022
João Morais, Arash Behboodi, Hamed Pezeshki, Ahmed Alkhateeb

* Submitted to IEEE. Datasets and code files are available on the DeepSense website: https://deepsense6g.net/ 

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Deep Learning-based Channel Estimation for Wideband Hybrid MmWave Massive MIMO


May 10, 2022
Jiabao Gao, Caijun Zhong, Geoffrey Ye Li, Joseph B. Soriaga, Arash Behboodi


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MIMO-GAN: Generative MIMO Channel Modeling


Mar 16, 2022
Tribhuvanesh Orekondy, Arash Behboodi, Joseph B. Soriaga

* Accepted at IEEE ICC 2022. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works 

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Neural RF SLAM for unsupervised positioning and mapping with channel state information


Mar 15, 2022
Shreya Kadambi, Arash Behboodi, Joseph B. Soriaga, Max Welling, Roohollah Amiri, Srinivas Yerramalli, Taesang Yoo

* Accepted at IEEE International Conference on Communications 2022. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other work 

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Generalization Error Bounds for Iterative Recovery Algorithms Unfolded as Neural Networks


Dec 08, 2021
Ekkehard Schnoor, Arash Behboodi, Holger Rauhut

* 29 pages, 6 figures 

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Neural Augmentation of Kalman Filter with Hypernetwork for Channel Tracking


Sep 26, 2021
Kumar Pratik, Rana Ali Amjad, Arash Behboodi, Joseph B. Soriaga, Max Welling

* Accepted at IEEE Globecom 2021. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works 

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