Ich stimme zu, dass diese Seite Cookies verwende. Weitere Informationen finden Sie unter unseren Datenschutzerklärungen .
X
Hoydis, Jakob
17  Ergebnisse:
Buchkapitel (Online) X
Personensuche X
?
1

A Neural Receiver for 5G NR Multi-User MIMO:

, In: 2023 IEEE Globecom Workshops (GC Wkshps),
Cammerer, Sebastian ; Aoudia, Faycal Ait ; Hoydis, Jakob... - p. 329-334 , 2023
Link: https://doi.org/10.1109/..
 
?
2

Sionna RT: Differentiable Ray Tracing for Radio Propagation..:

, In: 2023 IEEE Globecom Workshops (GC Wkshps),
Hoydis, Jakob ; Aoudia, Faycal Ait ; Cammerer, Sebastian... - p. 317-321 , 2023
Link: https://doi.org/10.1109/..
 
?
3

Joint Channel Estimation and Hybrid Beamforming via Deep-Un..:

, In: 2022 30th European Signal Processing Conference (EUSIPCO),
Kang, Kai ; Hu, Qiyu ; Cai, Yunlong... - p. 658-662 , 2022
Link: https://doi.org/10.23919..
 
?
4

Graph Neural Networks for Channel Decoding:

, In: 2022 IEEE Globecom Workshops (GC Wkshps),
Cammerer, Sebastian ; Hoydis, Jakob ; Aoudia, Faycal Ait. - p. 486-491 , 2022
Link: https://doi.org/10.1109/..
 
?
5

DUIDD: Deep-Unfolded Interleaved Detection and Decoding for..:

, In: 2022 56th Asilomar Conference on Signals, Systems, and Computers,
Wiesmayr, Reinhard ; Dick, Chris ; Hoydis, Jakob. - p. 181-188 , 2022
Link: https://doi.org/10.1109/..
 
?
6

Deep Learning-Based Synchronization for Uplink NB-IoT:

, In: GLOBECOM 2022 - 2022 IEEE Global Communications Conference,
Aoudia, Faycal Ait ; Hoydis, Jakob ; Cammerer, Sebastian.. - p. 1478-1483 , 2022
Link: https://doi.org/10.1109/..
 
?
7

SubSRNN: Tailored Neural Network for Channel Estimation wit..:

, In: 2021 IEEE Global Communications Conference (GLOBECOM),
Qi, Wenliang ; Quan, Jiaqi ; Hoydis, Jakob. - p. 01-06 , 2021
Link: https://doi.org/10.1109/..
 
?
8

Joint Learning of Probabilistic and Geometric Shaping for C..:

, In: GLOBECOM 2020 - 2020 IEEE Global Communications Conference,
Aoudia, Faycal Ait ; Hoydis, Jakob - p. 1-6 , 2020
Link: https://doi.org/10.1109/..
 
?
9

Extended Abstract: Deep Learning of the Physical Layer for ..:

, In: 2020 IEEE Workshop on Signal Processing Systems (SiPS),
Aoudia, Faycal Ait ; Cammerer, Sebastian ; Dorner, Sebastian... - p. 1-1 , 2020
Link: https://doi.org/10.1109/..
 
?
10

Deep HyperNetwork-Based MIMO Detection:

, In: 2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC),
Goutay, Mathieu ; Ait Aoudia, Faycal ; Hoydis, Jakob - p. 1-5 , 2020
Link: https://doi.org/10.1109/..
 
?
11

Exploiting Channel Locality for Adaptive Massive MIMO Signa..:

, In: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
Khani, Mehrdad ; Alizadeh, Mohammad ; Hoydis, Jakob. - p. 8565-8568 , 2020
Link: https://doi.org/10.1109/..
 
?
12

Deep Reinforcement Learning Autoencoder with Noisy Feedback:

, In: 2019 International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOPT),
Goutay, Mathieu ; Aoudia, Faycal Ait ; Hoydis, Jakob - p. 1-6 , 2019
Link: https://doi.org/10.23919..
 
?
13

"Machine LLRning": Learning to Softly Demodulate:

, In: 2019 IEEE Globecom Workshops (GC Wkshps),
Shental, Ori ; Hoydis, Jakob - p. 1-7 , 2019
Link: https://doi.org/10.1109/..
 
?
14

Transmitter Classification with Supervised Deep Learning:

, In: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering; Cognitive Radio-Oriented Wireless Networks,
Morin, Cyrille ; Cardoso, Leonardo S. ; Hoydis, Jakob.. - p. 73-86 , 2019
Link: https://doi.org/10.1007/..
 
?
15

Joint Learning of Geometric and Probabilistic Constellation..:

, In: 2019 IEEE Globecom Workshops (GC Wkshps),
Stark, Maximilian ; Ait Aoudia, Faycal ; Hoydis, Jakob - p. 1-6 , 2019
Link: https://doi.org/10.1109/..
 
1-15