- Reinforcement Learning Assisted Beamforming for Inter|cell ...🔍
- [PDF] Reinforcement Learning Assisted Beamforming for Inter|cell ...🔍
- Deep Reinforcement Learning|Based Coordinated Beamforming for ...🔍
- Hierarchial|DQN Position|Aided Beamforming for Uplink mmWave ...🔍
- A deep reinforcement learning for energy efficient resource ...🔍
- Attention|deep reinforcement learning jointly beamforming based on ...🔍
- Deep Reinforcement Learning|Based Downlink Beamforming and ...🔍
- Deep Reinforcement Learning for Distributed Coordinated ...🔍
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-Based Coordinated Beamforming for ...
... cellular networks require high-frequency waves. Recently ... Joint beamforming design for secure RIS-assisted IoT networks. IEEE ...
Hierarchial-DQN Position-Aided Beamforming for Uplink mmWave ...
Hierarchial-DQN Position-Aided Beamforming for Uplink mmWave Cellular-Connected UAVs ... In this paper, we propose a deep reinforcement learning (DRL)-based ...
A deep reinforcement learning for energy efficient resource ...
This paper proposes a deep reinforcement learning centralized intelligent reflective surface (IRS) assisted non-orthogonal multiple access beamforming (NOMA-BF ...
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 ...
Deep Reinforcement Learning-Based Downlink Beamforming and ...
... beamforming and phase optimization for a multi-cell RIS-aided communication system. With the transmit power constraint, a maximization ...
Deep Reinforcement Learning for Distributed Coordinated ...
... Assisted Beamforming for Inter-cell Interference Mitigation in 5G Massive MIM... January 2021. Aidong Yang · Xinlang Yue · Ye Ouyang. Beamforming is ...
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 ...
Local Observations-Based Energy-Efficient Multi-Cell Beamforming ...
... Cell Beamforming via Multi-Agent Reinforcement Learning[J]. Journal of ... Deep reinforcement learning based resource allocation in cooperative UAV-assisted ...
Multi-objective Deep Reinforcement Learning Based Joint ...
In order to provide spectrum and energy efficient communication for unmanned aerial vehicle assisted cellular network, the problem of joint beamforming and ...
Fast MIMO Beamforming via Deep Reinforcement Learning for High ...
Future 5G/6G wireless networks will be increasingly using millimeter waves (mmWaves), where fast and efficient beamforming is vital for providing continuous ...
Multi-objective Deep Reinforcement Learning Based Joint ...
Multi-objective Deep Reinforcement Learning Based Joint Beamforming and Power Allocation in UAV Assisted Cellular Communication. Published ...
Joint Beamforming Design for RIS-Assisted Integrated Satellite-HAP ...
This paper studies the deep reinforcement learning (DRL) algorithm to achieve online decision making for this joint optimization problem.
Reinforcement Learning for Hybrid Beamforming in Millimeter Wave ...
Reinforcement Learning Assisted Beamforming for Inter-cell Interference Mitigation in 5G Massive MIMO Networks · Ye Ouyang. ArXiv, 2021. Beamforming is an ...
Deep Transfer Reinforcement Learning for Beamforming and ...
The joint beamforming coordination and resource allocation in the downlink multi-cell multiple-input single-output OFDMA (MISO-OFDMA) systems is studied and ...
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- ...
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 ...