Multi-Objective Deep Reinforcement Learning for 5G Base Station Placement to Support Localisation for Future Sustainable Traffic

no code implementations • 23 Apr 2024 • Ahmed Al-Tahmeesschi, Jukka Talvitie, Miguel López-Benítez, Hamed Ahmadi, Laura Ruotsalainen

This work assumes a pre-deployed BS and another BS is required to be added to support both localisation accuracy and coverage rate in an urban city scenario.

Deep Reinforcement Learning for Dynamic Band Switch in Cellular-Connected UAV

no code implementations • 26 Aug 2021 • Gianluca Fontanesi, Anding Zhu, Hamed Ahmadi

Results reveal that the smart approach is able in a high threshold regime to reduce the number of radio failures and band switches while reaching the desired destination.

Q-Learning reinforcement-learning +1

Attosecond Pulse-shaping using a seeded free-electron laser

no code implementations • 17 Dec 2020 • Praveen Kumar Maroju, Cesare Grazioli, Michele Di Fraia, Matteo Moioli, Dominik Ertel, Hamed Ahmadi, Oksana Plekan, Paola Finetti, Enrico Allaria, Luca Giannessi, Giovanni De Ninno, Carlo Spezzani, Giuseppe Penco, Alexander Demidovich, Miltcho Danailov, Roberto Borghes, Georgios Kourousias, Carlos Eduardo Sanches Dos Reis, Fulvio Billé, Alberto A. Lutman, Richard J. Squibb, Raimund Feifel, Paolo Carpeggiani, Maurizio Reduzzi, Tommaso Mazza, Michael Meyer, Samuel Bengtsson, Neven Ibrakovic, Emma Rose Simpson, Johan Mauritsson, Tamás Csizmadia, Mathieu Dumergue, Sergei Kühn, Harshitha N. G., Daehyun You, Kiyoshi Ueda, Marie Labeye, Jens Egebjerg Bækhøj, Kenneth J. Schafer, Elena V. Gryzlova, Alexei N. Grum-Grzhimailo, Kevin C. Prince, Carlo Callegari, Giuseppe Sansone

Here we show the first demonstration of reproducible generation of high energy ($\mathrm{\mu}$J level) attosecond waveforms using a seeded Free Electron Laser.

Optics Atomic Physics