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A survey of beam management for mmWave and THz communications towards 6G
Communication in millimeter wave (mmWave) and even terahertz (THz) frequency bands is
ushering in a new era of wireless communications. Beam management, namely initial …
ushering in a new era of wireless communications. Beam management, namely initial …
Enabling intelligent connectivity: A survey of secure isac in 6g networks
The rapid growth of intelligent sensing capabilities and super computation power in 6G
mobile communication systems has facilitated their application in diverse domains such as …
mobile communication systems has facilitated their application in diverse domains such as …
Robust beamforming for massive MIMO LEO satellite communications: A risk-aware learning framework
This paper proposes a robust beamforming algorithm for massive multiple-input multiple-
output (MIMO) low earth-orbit (LEO) satellite communications under uncertain channel …
output (MIMO) low earth-orbit (LEO) satellite communications under uncertain channel …
[HTML][HTML] Optimal user scheduling in multi antenna system using multi agent reinforcement learning
Multiple Input Multiple Output (MIMO) systems have been gaining significant attention from
the research community due to their potential to improve data rates. However, a suitable …
the research community due to their potential to improve data rates. However, a suitable …
Hybrid beamforming in 5G nr networks using multi user massive MIMO at FR2 frequency bands
Abstract The current Sub 6 GHz band is highly occupied and unable to meet the demands of
future wireless data traffic. As the millimeter wave technology is a promising way of …
future wireless data traffic. As the millimeter wave technology is a promising way of …
Deep reinforcement learning based beam selection for hybrid beamforming and user grou** in massive MIMO-NOMA system
This paper presents a deep reinforcement learning-based beam-user selection and hybrid
beamforming design for the multiuser massive multiple-input multiple-output (MIMO) non …
beamforming design for the multiuser massive multiple-input multiple-output (MIMO) non …
High bandwidth green communication with vehicles by decentralized resource optimization in integrated access backhaul 5G networks
Recently, moving networks, including mobile small cells (MSCs), have been introduced to
improve the QoS experienced by users inside public transport and connected vehicles …
improve the QoS experienced by users inside public transport and connected vehicles …
CEAR: A cooperation based energy aware reward scheme for next generation green cognitive radio networks
Cognitive Radio (CR) networks are envisioned as a key empowering technology of the fifth-
generation (5G) wireless communication networks, which solves the major issues of 5G, like …
generation (5G) wireless communication networks, which solves the major issues of 5G, like …
Energy efficient noma based beamforming and power control architecture for future communication networks
In the current and future wireless technologies beamforming techniques are one of the key
features to fit in with the higher throughput demands of users for various data exhaustive …
features to fit in with the higher throughput demands of users for various data exhaustive …
Quantum-inspired Beamforming Optimization for Quantized Phase-only Massive MIMO Arrays
This paper introduces an innovative quantum-inspired method for beamforming (BF)
optimization in multiple-input multiple-output (MIMO) arrays. The method leverages the …
optimization in multiple-input multiple-output (MIMO) arrays. The method leverages the …