Prati
Daniel Tandler
Daniel Tandler
Institute of Telecommunications, University of Stuttgart
Potvrđena adresa e-pošte na inue.uni-stuttgart.de
Naslov
Citirano
Citirano
Godina
On recurrent neural networks for sequence-based processing in communications
D Tandler, S Dörner, S Cammerer, S ten Brink
2019 53rd Asilomar Conference on Signals, Systems, and Computers, 537-543, 2019
252019
Deep reinforcement learning for mmwave initial beam alignment
D Tandler, S Doerner, M Gauger, S ten Brink
WSA & SCC 2023; 26th International ITG Workshop on Smart Antennas and 13th …, 2023
22023
6G: A Welcome Chance to Unify Channel Coding?
M Geiselhart, F Krieg, J Clausius, D Tandler, S ten Brink
IEEE BITS the Information Theory Magazine, 2023
12023
Graph Neural Network-based Joint Equalization and Decoding
J Clausius, M Geiselhart, D Tandler, S Brink
arXiv preprint arXiv:2401.16187, 2024
2024
Deep Learning Based Adaptive Joint mmWave Beam Alignment
D Tandler, M Gauger, AS Tan, S Dörner, S Brink
arXiv preprint arXiv:2401.13587, 2024
2024
Sustav trenutno ne može provesti ovu radnju. Pokušajte ponovo kasnije.
Članci 1–5