Digital Twin Enhanced Deep Reinforcement Learning for Intelligent Omni-Surface Configurations in MU-MIMO Systems
Fuente:
arXiv
Saved in:
| Main Authors: | Ye, Xiaowen, Yu, Xianghao, Fu, Liqun |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Performance Analysis of Zero-Forcing Beamforming Strategies for the Uplink of an MU-MIMO System with Multi-Antenna Users
by: Marques, João Paulo P. G., et al.
Published: (2025)
by: Marques, João Paulo P. G., et al.
Published: (2025)
Federated Machine Learning for Intelligent IoT via Reconfigurable Intelligent Surface
by: Yang, Kai, et al.
Published: (2020)
by: Yang, Kai, et al.
Published: (2020)
BeamSense: Rethinking Wireless Sensing with MU-MIMO Wi-Fi Beamforming Feedback
by: Haque, Khandaker Foysal, et al.
Published: (2023)
by: Haque, Khandaker Foysal, et al.
Published: (2023)
Revisiting Multi-User Downlink in IEEE 802.11ax: A Designers Guide to MU-MIMO
by: Cao, Liu, et al.
Published: (2024)
by: Cao, Liu, et al.
Published: (2024)
HBF MU-MIMO with Interference-Aware Beam Pair Link Allocation for Beyond-5G mm-Wave Networks
by: Ichkov, Aleksandar, et al.
Published: (2024)
by: Ichkov, Aleksandar, et al.
Published: (2024)
Cost-Efficient Computation Offloading in SAGIN: A Deep Reinforcement Learning and Perception-Aided Approach
by: Gao, Yulan, et al.
Published: (2024)
by: Gao, Yulan, et al.
Published: (2024)
BostonTwin: the Boston Digital Twin for Ray-Tracing in 6G Networks
by: Testolina, Paolo, et al.
Published: (2024)
by: Testolina, Paolo, et al.
Published: (2024)
Digital Twin for Advanced Network Planning: Tackling Interference
by: Estrada-Jimenez, Juan Carlos, et al.
Published: (2024)
by: Estrada-Jimenez, Juan Carlos, et al.
Published: (2024)
Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization
by: Du, Hongyang, et al.
Published: (2023)
by: Du, Hongyang, et al.
Published: (2023)
Massive MIMO Adaptive Modulation and Coding Using Online Deep Learning Algorithm
by: Bobrov, Evgeny, et al.
Published: (2021)
by: Bobrov, Evgeny, et al.
Published: (2021)
VaN3Twin: the Multi-Technology V2X Digital Twin with Ray-Tracing in the Loop
by: Pegurri, Roberto, et al.
Published: (2025)
by: Pegurri, Roberto, et al.
Published: (2025)
Enhancing V2X Communications with UAV-mounted Reconfigurable Intelligent Surfaces
by: Janji, Salim, et al.
Published: (2025)
by: Janji, Salim, et al.
Published: (2025)
Advancing Network Digital Twin Framework for Generating Realistic Datasets
by: Stenhammar, Oscar, et al.
Published: (2026)
by: Stenhammar, Oscar, et al.
Published: (2026)
System-Level Experimental Evaluation of Reconfigurable Intelligent Surfaces for NextG Communication Systems
by: Tsampazi, Maria, et al.
Published: (2024)
by: Tsampazi, Maria, et al.
Published: (2024)
Active Reconfigurable Intelligent Surface-Aided Terahertz Wireless Communications
by: Khalid, Waqas, et al.
Published: (2024)
by: Khalid, Waqas, et al.
Published: (2024)
Digital Twins and Testbeds for Supporting AI Research with Autonomous Vehicle Networks
by: Gürses, Anıl, et al.
Published: (2024)
by: Gürses, Anıl, et al.
Published: (2024)
Digital Twin for Non-Terrestrial Networks: Vision, Challenges, and Enabling Technologies
by: Al-Hraishawi, Hayder, et al.
Published: (2023)
by: Al-Hraishawi, Hayder, et al.
Published: (2023)
A Predictive and Preventive Digital Twin Framework for Indoor Wireless Networks
by: Chen, Jiunn-Tsair
Published: (2026)
by: Chen, Jiunn-Tsair
Published: (2026)
ACHEM: A Real-Time Digital Twin Framework with Channel and Radio Emulation
by: Gurses, Anil, et al.
Published: (2026)
by: Gurses, Anil, et al.
Published: (2026)
Digital Twin-based SIM Communication and Flight Control for Advanced Air Mobility
by: Xiong, Kai, et al.
Published: (2025)
by: Xiong, Kai, et al.
Published: (2025)
Frequency Resource Management in 6G User-Centric CFmMIMO: A Hybrid Reinforcement Learning and Metaheuristic Approach
by: Cheggour, Selina, et al.
Published: (2025)
by: Cheggour, Selina, et al.
Published: (2025)
Colosseum as a Digital Twin: Bridging Real-World Experimentation and Wireless Network Emulation
by: Villa, Davide, et al.
Published: (2023)
by: Villa, Davide, et al.
Published: (2023)
6G Communication New Paradigm: The Integration of Unmanned Aerial Vehicles and Intelligent Reflecting Surfaces
by: Ning, Zhaolong, et al.
Published: (2023)
by: Ning, Zhaolong, et al.
Published: (2023)
A Survey on Federated Learning in Intelligent Transportation Systems
by: Zhang, Rongqing, et al.
Published: (2024)
by: Zhang, Rongqing, et al.
Published: (2024)
Digital Twin--Driven Adaptive Wavelet Strategy for Efficient 6G Backbone Network Telemetry
by: de Lima, Alexandre Barbosa, et al.
Published: (2026)
by: de Lima, Alexandre Barbosa, et al.
Published: (2026)
High-Fidelity RF Mapping: Assessing Environmental Modeling in 6G Network Digital Twins
by: Cazzella, Lorenzo, et al.
Published: (2025)
by: Cazzella, Lorenzo, et al.
Published: (2025)
AI-Driven Digital Twins: Optimizing 5G/6G Network Slicing with NTNs
by: Ali, Afan, et al.
Published: (2025)
by: Ali, Afan, et al.
Published: (2025)
Accelerating Ray Tracing-Based Wireless Channels Generation for Real-Time Network Digital Twins
by: Modesto, Cláudio, et al.
Published: (2025)
by: Modesto, Cláudio, et al.
Published: (2025)
Deep Reinforcement Learning for Multi-flow Routing in Heterogeneous Wireless Networks
by: Kim, Brian, et al.
Published: (2025)
by: Kim, Brian, et al.
Published: (2025)
Delay-Robust Deep Reinforcement Learning for Ranging-Free Channel Access under Mobility in Underwater Acoustic Networks
by: Ye, Huaisheng, et al.
Published: (2026)
by: Ye, Huaisheng, et al.
Published: (2026)
Maximising Energy Efficiency in Large-Scale Open RAN: Hybrid xApps and Digital Twin Integration
by: Al-Tahmeesschi, Ahmed, et al.
Published: (2025)
by: Al-Tahmeesschi, Ahmed, et al.
Published: (2025)
Personalized Federated Deep Reinforcement Learning for Heterogeneous Edge Content Caching Networks
by: Li, Zhen, et al.
Published: (2024)
by: Li, Zhen, et al.
Published: (2024)
Deep Reinforcement Learning for Joint Time and Power Management in SWIPT-EH CIoT
by: Abdolkhani, Nadia, et al.
Published: (2025)
by: Abdolkhani, Nadia, et al.
Published: (2025)
Beam Scheduling for Cross-Layer ISAC: A Deep Reinforcement Learning Approach
by: Wang, Xiyu, et al.
Published: (2026)
by: Wang, Xiyu, et al.
Published: (2026)
Deep Reinforcement Learning for EH-Enabled Cognitive-IoT Under Jamming Attacks
by: Abdolkhani, Nadia, et al.
Published: (2025)
by: Abdolkhani, Nadia, et al.
Published: (2025)
Integrated Sensing and Communications for Low-Altitude Economy: A Deep Reinforcement Learning Approach
by: Ye, Xiaowen, et al.
Published: (2024)
by: Ye, Xiaowen, et al.
Published: (2024)
Utilization of Reconfigurable Intelligent Surfaces with Context Information: Use Cases
by: Kułacz, Łukasz
Published: (2024)
by: Kułacz, Łukasz
Published: (2024)
Network Digital Twin for 6G and Beyond: An End-to-End View Across Multi-Domain Network Ecosystems
by: Tran, Dinh-Hieu, et al.
Published: (2025)
by: Tran, Dinh-Hieu, et al.
Published: (2025)
MAxLM: Multi-Agent Language Model-Based Scheduling and Resource Allocation in MU-MIMO-OFDMA-Enabled Wireless Networks
by: Quadri, Adnan, et al.
Published: (2026)
by: Quadri, Adnan, et al.
Published: (2026)
Wall-Street: An Intelligent Vehicular Surface for Reliable mmWave Handover
by: Cho, Kun Woo, et al.
Published: (2024)
by: Cho, Kun Woo, et al.
Published: (2024)
Similar Items
-
Performance Analysis of Zero-Forcing Beamforming Strategies for the Uplink of an MU-MIMO System with Multi-Antenna Users
by: Marques, João Paulo P. G., et al.
Published: (2025) -
Federated Machine Learning for Intelligent IoT via Reconfigurable Intelligent Surface
by: Yang, Kai, et al.
Published: (2020) -
BeamSense: Rethinking Wireless Sensing with MU-MIMO Wi-Fi Beamforming Feedback
by: Haque, Khandaker Foysal, et al.
Published: (2023) -
Revisiting Multi-User Downlink in IEEE 802.11ax: A Designers Guide to MU-MIMO
by: Cao, Liu, et al.
Published: (2024) -
HBF MU-MIMO with Interference-Aware Beam Pair Link Allocation for Beyond-5G mm-Wave Networks
by: Ichkov, Aleksandar, et al.
Published: (2024)