Cover Image

Deep Reinforcement Learning for Multi-flow Routing in Heterogeneous Wireless Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kim, Brian, Kong, Justin H., Moore, Terrence J., Dagefu, Fikadu T.
Format:	Preprint
Published:	2025
Subjects:	Signal Processing Networking and Internet Architecture
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Decentralized Covert Routing in Heterogeneous Networks Using Reinforcement Learning
by: Kong, Justin, et al.
Published: (2024)

Optimal Routing and Link Configuration for Covert Heterogeneous Wireless Networks
by: Gillani, Amna, et al.
Published: (2024)

Deep Reinforcement Learning Based Routing for Heterogeneous Multi-Hop Wireless Networks
by: Kim, Brian, et al.
Published: (2025)

Optimisation of Resource Allocation in Heterogeneous Wireless Networks Using Deep Reinforcement Learning
by: Giwa, Oluwaseyi, et al.
Published: (2025)

Personalized Federated Deep Reinforcement Learning for Heterogeneous Edge Content Caching Networks
by: Li, Zhen, et al.
Published: (2024)

Mixture of Experts for Decentralized Generative AI and Reinforcement Learning in Wireless Networks: A Comprehensive Survey
by: Xu, Yunting, et al.
Published: (2025)

Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization
by: Du, Hongyang, et al.
Published: (2023)

Simultaneous Multi-Modal Covert Communications: Analysis and Optimization
by: Kong, Justin H., et al.
Published: (2026)

An open source Multi-Agent Deep Reinforcement Learning Routing Simulator for satellite networks
by: Lozano-Cuadra, Federico, et al.
Published: (2024)

Dynamical ON-OFF Control with Trajectory Prediction for Multi-RIS Wireless Networks
by: Wang, Kaining, et al.
Published: (2025)

Is Wireless Bad for Consensus in Blockchain?
by: Kim, Seungmo
Published: (2024)

Performance Analysis of Traditional and Network Coded Transmission in Infrastructure-less Multi-hop Wireless Networks
by: Ali, Muhammad, et al.
Published: (2024)

Hierarchical Deep Reinforcement Learning for Robust Access in Cognitive IoT Networks under Smart Jamming Attacks
by: Abdolkhani, Nadia, et al.
Published: (2025)

Smart Jamming Attack and Mitigation on Deep Transfer Reinforcement Learning Enabled Resource Allocation for Network Slicing
by: Salehi, Shavbo, et al.
Published: (2024)

Node Cardinality Estimation in a Heterogeneous Wireless Network Deployed Over a Large Region Using a Mobile Base Station
by: Kadam, Sachin, et al.
Published: (2023)

Multi-Task Offloading via Graph Neural Networks in Heterogeneous Multi-access Edge Computing
by: Ma, Mulei
Published: (2023)

Energy Efficient Trajectory Control and Resource Allocation in Multi-UAV-assisted MEC via Deep Reinforcement Learning
by: Liu, Saichao, et al.
Published: (2025)

Curated Wireless Datasets for Aerial Network Research
by: Raouf, Amir Hossein Fahim, et al.
Published: (2025)

WirelessBench: A Tolerance-Aware LLM Agent Benchmark for Wireless Network Intelligence
by: Tong, Jingwen, et al.
Published: (2026)

Multi-objective Aerial Collaborative Secure Communication Optimization via Generative Diffusion Model-enabled Deep Reinforcement Learning
by: Zhang, Chuang, et al.
Published: (2024)

Context-Aware Semantic Communication for the Wireless Networks
by: Liu, Guangyuan, et al.
Published: (2025)

Cellular Wireless Networks in the Upper Mid-Band
by: Kang, Seongjoon, et al.
Published: (2023)

Continual Learning for Wireless Channel Prediction
by: Mohsin, Muhammad Ahmed, et al.
Published: (2025)

Exploiting NOMA Transmissions in Multi-UAV-assisted Wireless Networks: From Aerial-RIS to Mode-switching UAVs
by: Zhao, Songhan, et al.
Published: (2024)

Interference in Wireless Networks -- A Power Allocation Approach
by: Maimon, Tzalik, et al.
Published: (2024)

Deep Reinforcement Learning for Joint Time and Power Management in SWIPT-EH CIoT
by: Abdolkhani, Nadia, et al.
Published: (2025)

Deep Reinforcement Learning for EH-Enabled Cognitive-IoT Under Jamming Attacks
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)

A Robust Routing Protocol for 5G Mesh Networks
by: Führling, Niclas, et al.
Published: (2025)

Semantic and Goal-oriented Wireless Network Coverage: The Area of Effectiveness
by: Merluzzi, Mattia, et al.
Published: (2025)

Analysis of Status Update in Wireless Networks with Successive Interference Cancellation
by: Razzaque, Asmad Bin Abdul, et al.
Published: (2024)

Efficient Energy Harvesting in Wireless Sensor Networks of Smart Grid
by: Baroudi, Uthman, et al.
Published: (2019)

Knowledge-Driven Deep Learning Paradigms for Wireless Network Optimization in 6G
by: Sun, Ruijin, et al.
Published: (2024)

Empowering Wireless Network Applications with Deep Learning-based Radio Propagation Models
by: Bakirtzis, Stefanos, et al.
Published: (2024)

The Role of Game Networking in the Fusion of Physical and Digital Worlds through 6G Wireless Networks
by: Bui, Van-Phuc, et al.
Published: (2023)

Large Language Models-Empowered Wireless Networks: Fundamentals, Architecture, and Challenges
by: Khan, Latif U., et al.
Published: (2025)

Green and Safe 6G Wireless Networks: A Hybrid Approach
by: Kour, Haneet, et al.
Published: (2024)

A Predictive and Preventive Digital Twin Framework for Indoor Wireless Networks
by: Chen, Jiunn-Tsair
Published: (2026)

Cost-Efficient Computation Offloading in SAGIN: A Deep Reinforcement Learning and Perception-Aided Approach
by: Gao, Yulan, et al.
Published: (2024)

Hierarchical Reinforcement Learning Empowered Task Offloading in V2I Networks
by: You, Xinyu, et al.
Published: (2024)