Optimizing Wireless Networks with Deep Unfolding: Comparative Study on Two Deep Unfolding Mechanisms
Fuente:
arXiv
Saved in:
| Main Authors: | Adam, Abuzar B. M., Elhassan, Mohammed A. M., Diallo, Elhadj Moustapha |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Enhancing Secrecy in UAV RSMA Networks: Deep Unfolding Meets Deep Reinforcement Learning
by: Adam, Abuzar B. M., et al.
Published: (2023)
by: Adam, Abuzar B. M., et al.
Published: (2023)
Generative Model for Joint Resource Management in Multi-Cell Multi-Carrier NOMA Networks
by: Diallo, Elhadj Moustapha
Published: (2024)
by: Diallo, Elhadj Moustapha
Published: (2024)
Chance-Constrained Secrecy Optimization in Hybrid RIS-Empowered and UAV-Assisted Networks
by: Diallo, Elhadj Moustapha, et al.
Published: (2026)
by: Diallo, Elhadj Moustapha, et al.
Published: (2026)
Secure Deep Reinforcement Learning for Dynamic Resource Allocation in Wireless MEC Networks
by: Hao, Xin, et al.
Published: (2023)
by: Hao, Xin, et al.
Published: (2023)
Knowledge-Driven Deep Learning Paradigms for Wireless Network Optimization in 6G
by: Sun, Ruijin, et al.
Published: (2024)
by: Sun, Ruijin, et al.
Published: (2024)
Ordered Topological Deep Learning: a Network Modeling Case Study
by: Bernárdez, Guillermo, et al.
Published: (2025)
by: Bernárdez, Guillermo, et al.
Published: (2025)
Integrating Optimization Theory with Deep Learning for Wireless Network Design
by: Coleri, Sinem, et al.
Published: (2024)
by: Coleri, Sinem, et al.
Published: (2024)
Empowering Wireless Network Applications with Deep Learning-based Radio Propagation Models
by: Bakirtzis, Stefanos, et al.
Published: (2024)
by: Bakirtzis, Stefanos, et al.
Published: (2024)
Optimisation of Resource Allocation in Heterogeneous Wireless Networks Using Deep Reinforcement Learning
by: Giwa, Oluwaseyi, et al.
Published: (2025)
by: Giwa, Oluwaseyi, et al.
Published: (2025)
Digital Twin-Assisted Data-Driven Optimization for Reliable Edge Caching in Wireless Networks
by: Zhang, Zifan, et al.
Published: (2024)
by: Zhang, Zifan, et al.
Published: (2024)
The Roadmap to 6G -- AI Empowered Wireless Networks
by: Letaief, Khaled B., et al.
Published: (2019)
by: Letaief, Khaled B., et al.
Published: (2019)
QoE-Aware and Secure UAV-Aided Rate-Splitting Multiple Access Based Communications
by: Adam, Abuzar B. M., et al.
Published: (2024)
by: Adam, Abuzar B. M., et al.
Published: (2024)
Deep Learning Network-Temporal Models For Traffic Prediction
by: Xin, Yufeng, et al.
Published: (2026)
by: Xin, Yufeng, et al.
Published: (2026)
Which Deep Learner? A Systematic Evaluation of Advanced Deep Forecasting Models Accuracy and Efficiency for Network Traffic Prediction
by: Babai, Eilaf MA, et al.
Published: (2026)
by: Babai, Eilaf MA, et al.
Published: (2026)
On the Robustness of Deep Learning-predicted Contention Models for Network Calculus
by: Geyer, Fabien, et al.
Published: (2019)
by: Geyer, Fabien, et al.
Published: (2019)
Deep Learning in Wireless Communication Receiver: A Survey
by: Doha, Shadman Rahman, et al.
Published: (2025)
by: Doha, Shadman Rahman, et al.
Published: (2025)
Network Topology Optimization via Deep Reinforcement Learning
by: Li, Zhuoran, et al.
Published: (2022)
by: Li, Zhuoran, et al.
Published: (2022)
Multi-Agent Deep Reinforcement Learning for Resilience Optimization in 5G RAN
by: Kaada, Soumeya, et al.
Published: (2024)
by: Kaada, Soumeya, et al.
Published: (2024)
A Deep Reinforcement Learning Framework for Optimizing Congestion Control in Data Centers
by: Ketabi, Shiva, et al.
Published: (2023)
by: Ketabi, Shiva, et al.
Published: (2023)
Graph Neural Networks and Deep Reinforcement Learning Based Resource Allocation for V2X Communications
by: Ji, Maoxin, et al.
Published: (2024)
by: Ji, Maoxin, et al.
Published: (2024)
Adaptive Federated Learning in Heterogeneous Wireless Networks with Independent Sampling
by: Geng, Jiaxiang, et al.
Published: (2024)
by: Geng, Jiaxiang, et al.
Published: (2024)
Revolutionizing Wireless Networks with Federated Learning: A Comprehensive Review
by: Mahdimahalleh, Sajjad Emdadi
Published: (2023)
by: Mahdimahalleh, Sajjad Emdadi
Published: (2023)
A Comprehensive Survey on Network Traffic Synthesis: From Statistical Models to Deep Learning
by: Sivaroopan, Nirhoshan, et al.
Published: (2025)
by: Sivaroopan, Nirhoshan, et al.
Published: (2025)
State-Aware IoT Scheduling Using Deep Q-Networks and Edge-Based Coordination
by: He, Qingyuan, et al.
Published: (2025)
by: He, Qingyuan, et al.
Published: (2025)
Comparative Analysis of Deep Learning Models for Real-World ISP Network Traffic Forecasting
by: Koumar, Josef, et al.
Published: (2025)
by: Koumar, Josef, et al.
Published: (2025)
Building Transparency in Deep Learning-Powered Network Traffic Classification: A Traffic-Explainer Framework
by: Ponraj, Riya, et al.
Published: (2025)
by: Ponraj, Riya, et al.
Published: (2025)
Adaptive Model Pruning and Personalization for Federated Learning over Wireless Networks
by: Liu, Xiaonan, et al.
Published: (2023)
by: Liu, Xiaonan, et al.
Published: (2023)
Securing SIM-Assisted Wireless Networks via Quantum Reinforcement Learning
by: Hoang, Le-Hung, et al.
Published: (2026)
by: Hoang, Le-Hung, et al.
Published: (2026)
Science-Informed Design of Deep Learning With Applications to Wireless Systems: A Tutorial
by: Termehchi, Atefeh, et al.
Published: (2024)
by: Termehchi, Atefeh, et al.
Published: (2024)
Mixing Neural Networks and Exponential Moving Averages for Predicting Wireless Links Behavior
by: Formis, Gabriele, et al.
Published: (2024)
by: Formis, Gabriele, et al.
Published: (2024)
Towards Reliable AI in 6G: Detecting Concept Drift in Wireless Network
by: Tziouvaras, Athanasios, et al.
Published: (2025)
by: Tziouvaras, Athanasios, et al.
Published: (2025)
Optimizing Wireless Resource Management and Synchronization in Digital Twin Networks
by: Yu, Hanzhi, et al.
Published: (2025)
by: Yu, Hanzhi, et al.
Published: (2025)
Wireless Network Digital Twin for 6G: Generative AI as A Key Enabler
by: Tao, Zhenyu, et al.
Published: (2023)
by: Tao, Zhenyu, et al.
Published: (2023)
ReaCritic: Reasoning Transformer-based DRL Critic-model Scaling For Wireless Networks
by: You, Feiran, et al.
Published: (2025)
by: You, Feiran, et al.
Published: (2025)
Machine Learning Epidemic Predictions Using Agent-based Wireless Sensor Network Models
by: Nwokoye, Chukwunonso Henry, et al.
Published: (2025)
by: Nwokoye, Chukwunonso Henry, et al.
Published: (2025)
Deep Learning-Based Image Compression for Wireless Communications: Impacts on Reliability,Throughput, and Latency
by: Naseri, Mostafa, et al.
Published: (2024)
by: Naseri, Mostafa, et al.
Published: (2024)
Energy-Efficient Deep Learning for Traffic Classification on Microcontrollers
by: Chehade, Adel, et al.
Published: (2025)
by: Chehade, Adel, et al.
Published: (2025)
Adaptive Alarm Threshold Prediction in 4G Mobile Networks: A Percentile-Guided Deep Learning Framework with Interpretable Outputs
by: Roy, Ayon, et al.
Published: (2026)
by: Roy, Ayon, et al.
Published: (2026)
Joint Routing and Model Pruning for Decentralized Federated Learning in Bandwidth-Constrained Multi-Hop Wireless Networks
by: He, Xiaoyu, et al.
Published: (2026)
by: He, Xiaoyu, et al.
Published: (2026)
Distributed Deep Reinforcement Learning Based Gradient Quantization for Federated Learning Enabled Vehicle Edge Computing
by: Zhang, Cui, et al.
Published: (2024)
by: Zhang, Cui, et al.
Published: (2024)
Similar Items
-
Enhancing Secrecy in UAV RSMA Networks: Deep Unfolding Meets Deep Reinforcement Learning
by: Adam, Abuzar B. M., et al.
Published: (2023) -
Generative Model for Joint Resource Management in Multi-Cell Multi-Carrier NOMA Networks
by: Diallo, Elhadj Moustapha
Published: (2024) -
Chance-Constrained Secrecy Optimization in Hybrid RIS-Empowered and UAV-Assisted Networks
by: Diallo, Elhadj Moustapha, et al.
Published: (2026) -
Secure Deep Reinforcement Learning for Dynamic Resource Allocation in Wireless MEC Networks
by: Hao, Xin, et al.
Published: (2023) -
Knowledge-Driven Deep Learning Paradigms for Wireless Network Optimization in 6G
by: Sun, Ruijin, et al.
Published: (2024)