Deep contextual bandits for orchestrating multi-user MISO systems with multiple RISs
K Stylianopoulos, G Alexandropoulos… - ICC 2022-IEEE …, 2022 - ieeexplore.ieee.org
The emergent technology of Reconfigurable Intelligent Surfaces (RISs) has the potential to
transform wireless environments into controllable systems, through programmable …
transform wireless environments into controllable systems, through programmable …
Deep contextual bandit and reinforcement learning for IRS-assisted MU-MIMO systems
D Pereira-Ruisánchez, Ó Fresnedo… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The combination of multiple-input multiple-output (MIMO) systems and intelligent reflecting
surfaces (IRSs) is foreseen as a critical enabler of beyond 5G (B5G) and 6G. In this work …
surfaces (IRSs) is foreseen as a critical enabler of beyond 5G (B5G) and 6G. In this work …
Learning-based scheduling: Contextual bandits for massive MIMO systems
Lately, Reinforcement Learning (RL) solutions appear as a tool with great potential to solve
wireless communications problems. In this work, the scheduling problem in multiuser …
wireless communications problems. In this work, the scheduling problem in multiuser …
Pervasive machine learning for smart radio environments enabled by reconfigurable intelligent surfaces
GC Alexandropoulos, K Stylianopoulos… - Proceedings of the …, 2022 - ieeexplore.ieee.org
The emerging technology of reconfigurable intelligent surfaces (RISs) is provisioned as an
enabler of smart wireless environments, offering a highly scalable, low-cost, hardware …
enabler of smart wireless environments, offering a highly scalable, low-cost, hardware …
Statistical CSI-based Beamforming for RIS-Aided Multiuser MISO Systems using Deep Reinforcement Learning
The paper presents a joint beamforming algorithm using statistical channel state information
(S-CSI) for reconfigurable intelligent surfaces (RIS) for multiuser MISO wireless …
(S-CSI) for reconfigurable intelligent surfaces (RIS) for multiuser MISO wireless …
Long-term CSI-based design for RIS-aided multiuser MISO systems exploiting deep reinforcement learning
In this letter, we study the transmission design for reconfigurable intelligent surface (RIS)-
aided multiuser communication networks. Different from most of the existing contributions …
aided multiuser communication networks. Different from most of the existing contributions …
Reconfigurable intelligent surface assisted multiuser MISO systems exploiting deep reinforcement learning
Recently, the reconfigurable intelligent surface (RIS), benefited from the breakthrough on the
fabrication of programmable meta-material, has been speculated as one of the key enabling …
fabrication of programmable meta-material, has been speculated as one of the key enabling …
Two-stage resource allocation in reconfigurable intelligent surface assisted hybrid networks via multi-player bandits
This paper considers a resource allocation problem where several Internet-of-Things (IoT)
devices send data to a base station (BS) with or without the help of the reconfigurable …
devices send data to a base station (BS) with or without the help of the reconfigurable …
Deep Reinforcement Learning for RIS-Aided Multiuser MISO System with Hardware Impairments
W Ma, L Zhuo, L Li, Y Liu, H Ren - Applied Sciences, 2022 - mdpi.com
In this paper, we study a reconfigurable intelligent surface (RIS)-aided multiuser MISO
system with imperfect hardware, where the transceiver design is based on the statistical …
system with imperfect hardware, where the transceiver design is based on the statistical …
Energy-efficient deadline-aware edge computing: Bandit learning with partial observations in multi-channel systems
In this paper, we consider a task offloading problem in a multi-access edge computing
(MEC) network, in which edge users can either use their local processing unit to compute …
(MEC) network, in which edge users can either use their local processing unit to compute …