- Reinforcement Learning Assisted Beamforming for Inter|cell ...🔍
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- Deep Reinforcement Learning for Distributed Coordinated ...🔍
- Deep Reinforcement Learning for Distributed Dynamic Coordinated ...🔍
- Deep Reinforcement Learning|Based Downlink Beamforming and ...🔍
- Millimeter Wave Beamforming Training🔍
- Reinforcement Learning for Hybrid Beamforming in Millimeter Wave ...🔍
- Deep Transfer Reinforcement Learning for Beamforming and ...🔍
[PDF] Reinforcement Learning Assisted Beamforming for Inter|cell ...
Reinforcement Learning Assisted Beamforming for Inter-cell ... - arXiv
Abstract page for arXiv paper 2103.11782: Reinforcement Learning Assisted Beamforming for Inter-cell Interference Mitigation in 5G Massive ...
[PDF] Reinforcement Learning Assisted Beamforming for Inter-cell ...
The proposed algorithm is a joint of beamforming and full dynamic Q-learning technology to minimize the ICI, and results in a low-complexity method without ...
(PDF) Reinforcement Learning Assisted Beamforming for Inter-cell ...
In this paper, we propose a reinforcement learning (RL) assisted full dynamic beamforming for ICI mitigation in 5G downlink. The proposed ...
(PDF) Reinforcement Learning Assisted Beamforming for Inter-cell ...
In this paper, we propose a reinforcement learning (RL) assisted full dynamic beamforming for ICI mitigation in 5G downlink. The proposed algorithm is a joint ...
Deep Reinforcement Learning for Distributed Coordinated ...
Request PDF | On Sep 5, 2023, Jungang Ge and others published Deep Reinforcement Learning for Distributed Coordinated Beamforming in Massive MIMO | Find, ...
Deep Reinforcement Learning for Distributed Dynamic Coordinated ...
In massive MIMO cellular networks, coordinated beamforming (CBF), which jointly designs the beamformers of multiple base stations (BSs), is an ...
Deep Reinforcement Learning-Based Downlink Beamforming and ...
In this letter, we investigate a deep reinforcement learning (DRL)-based scheme of downlink beamforming and phase optimization for a multi-cell RIS-aided.
Millimeter Wave Beamforming Training: A Reinforcement Learning ...
wireless backhaul and access in small cell networks', IEEE Trans. on ... Heath, Jr., “Online learning for position-aided millimeter wave beam training,” IEEE ...
Reinforcement Learning for Hybrid Beamforming in Millimeter Wave ...
downloadDownload free PDF View PDFchevron_right · Reinforcement Learning Assisted Beamforming for Inter-cell Interference Mitigation in 5G Massive MIMO Networks.
Deep Transfer Reinforcement Learning for Beamforming and ...
In this paper, we study the joint beamforming coordination and resource allocation in the downlink multi-cell multiple-input single-output OFDMA (MISO-OFDMA) ...
enhancing beamforming and intelligent beam selection for ...
The primary objective is to employ machine learning techniques, with a focus on Support Vector Machines (SVM), to categorize beams into distinct ...
Statistical CSI-based Beamforming for RIS-Aided Multiuser MISO ...
In recent years, the field has seen the application of deep reinforcement learning (RL) in RIS-aided transmission to develop solutions with reduced ...
Contextual beamforming: Exploiting location and AI for enhanced ...
aware multi-cell MIMO communications assisted by optical positioning,” in 2021 ... 422–428. 92M. S. Aljumaily and H. Li, “Machine learning aided hybrid ...
Machine Learning for Millimeter Wave and Terahertz Beam ...
Higher mmWave and THz band frequencies necessitate the need of smaller cells where a mobile UE can experience more frequent handovers.
Attention-deep reinforcement learning jointly beamforming based on ...
The RIS-assisted mmWave massive MIMO vehicle-to-everything (V2X) communications can support enhanced V2X applications for connected and ...
Abdulkadir Çelik en LinkedIn: (PDF) Deep Reinforcement Learning ...
(PDF) Deep Reinforcement Learning Based Beamforming Codebook Design for RIS-aided mmWave Systems ... Senior Member | Optica Senior ... cell-free massive #MIMO ...
Distributed Multi-Cell Multi-User MISO Downlink Beamforming ... - ZTE
To address this, we propose a distributed deep reinforcement learning (DRL) based approach with lim⁃ ited information exchange. Specifically, ...
Millimeter Wave Beamforming Training: A Reinforcement Learning ...
Heath, Jr., “Online learning for position-aided millimeter wave beam training,” IEEE Access, vol. ... 129-141, 2019. Downloads. PDF ...
Contextual beamforming: Exploiting location and AI for enhanced ...
They used deep reinforcement learning on a multiple-base station cellular ... H. Li. , “. Machine learning aided hybrid beamforming in massive- ...
Intelligent Beam Management Based on Deep Reinforcement ...
[12] formulated the multi-cell coordinated beamforming in HSR scenarios as an ... RX Beamforming Based on Reinforcement Learning. RL is an ...