Angoue Avele, Marc BernicePérez-Adán, DarianPereira Ruisánchez, Dariel2023-11-152023-11-152023http://hdl.handle.net/2183/34252Cursos e Congresos, C-155[Abstract] In thiswork, we investigate pilot attacks for 5G single-cell multi-user massive multipleinput multiple-output (MaMIMO) systems with a single-antenna active eavesdropper and a single-antenna jammer operating in time-division duplex (TDD) schemes. Firstly, we describe the attacks when the base station (BS) estimates the channel state information (CSI) based on the uplink pilot transmissions. Finally, we propose a reinforcement learning (RL)-based framework for maximizing the system sum rate that proved robust to the eavesdropping and jamming attacksengAttribution 4.0 International (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/deed.esSistemas 5G monocelularesMaMIMOAprendizaje por refuerzoconference outputopen access