Backhaul Network

Backhaul networks, the communication links connecting base stations in cellular networks, are crucial for efficient data transmission and are a current focus of research due to capacity limitations hindering optimal performance. Current research emphasizes optimizing backhaul resource allocation and routing through techniques like federated learning, deep reinforcement learning, and graph neural networks, often addressing challenges posed by dynamic traffic demands and limited resources. These advancements aim to improve network efficiency, coverage, and reliability, impacting both the design of next-generation wireless systems and the development of novel algorithms for resource management in constrained environments.

Papers

November 14, 2024

Edge Caching Optimization with PPO and Transfer Learning for Dynamic Environments
Farnaz Niknia, Ping Wang
Reinforcement Learning Transfer Learning Proximal Policy Optimization Environment Feature Policy Optimization Edge Caching Backhaul Network

April 3, 2024

Enhancing Sum-Rate Performance in Constrained Multicell Networks: A Low-Information Exchange Approach
Youjin Kim, Jonggyu Jang, Hyun Jong Yang
System Performance Massive MIMO Backhaul Network Multi Cell Cell Free Information Exchange

February 6, 2024

Resource-Aware Hierarchical Federated Learning in Wireless Video Caching Networks
Md Ferdous Pervej, Andreas F. Molisch
Image Transmission Traffic Video Edge Caching Content Creator Backhaul Network

November 12, 2023

Resource-Aware Hierarchical Federated Learning for Video Caching in Wireless Networks
Md Ferdous Pervej, Andreas F Molisch
Resource Allocation Wireless Network Gradient Norm Backhaul Network Coded Caching

October 8, 2023

Deep Reinforcement Learning Based Cross-Layer Design in Terahertz Mesh Backhaul Networks
Zhifeng Hu, Chong Han, Xudong Wang
Deep Reinforcement Learning THz Image Cross Layer Backhaul Network

June 30, 2023

Federated Multi-Agent Deep Reinforcement Learning for Dynamic and Flexible 3D Operation of 5G Multi-MAP Networks
Esteban Catté, Mohamed Sana, Mickael Maman
Deep Reinforcement Learning Federated Prompt Cooperation Multi Agent Deep Reinforcement Learning G Network Access Point Backhaul Network

May 10, 2023

Integrated Access and Backhaul in 5G with Aerial Distributed Unit using OpenAirInterface
Rakesh Mundlamuri, Omid Esrafilian, Rajeev Gangula, Rohan Kharade, Cedric Roux, Florian Kaltenberger, Raymond Knopp, David Gesbert
Unmanned Aerial Vehicle Basic UniT Backhaul Network

February 15, 2023

Learning Hierarchical Resource Allocation and Multi-agent Coordination of 5G mobile IAB Nodes
Mohamed Sana, Benoit Miscopein
Multi Agent Coordination Wireless Node Backhaul Network Learning Based Resource Allocation

October 11, 2022

Constrained Deployment Optimization in Integrated Access and Backhaul Networks
Charitha Madapatha, Behrooz Makki, Hao Guo, Tommy Svensson
mmWave Signal Backhaul Network Optimal Deployment Network Planning

August 18, 2022

AoI-based Temporal Attention Graph Neural Network for Popularity Prediction and Content Caching
Jianhang Zhu, Rongpeng Li, Guoru Ding, Chan Wang, Jianjun Wu, Zhifeng Zhao, Honggang Zhang
Dynamic Graph Popularity Prediction Backhaul Network Effective Dynamic Service Caching

February 4, 2022

5G Network on Wings: A Deep Reinforcement Learning Approach to the UAV-based Integrated Access and Backhaul
Hongyi Zhang, Zhiqiang Qi, Jingya Li, Anders Aronsson, Jan Bosch, Helena Holmström Olsson
Unmanned Aerial Vehicle Deep Reinforcement Learning Approach G Network Multi Drone Base Station Dual Purpose WING Aerial Network Backhaul Network

February 3, 2022

Robotic Aerial 6G Small Cells with Grasping End Effectors for mmWave Relay Backhauling
Jongyul Lee, Vasilis Friderikos
Robotic Grasping Aerial Robot mmWave Signal Heterogeneous Network Cell Center Wireless Node Backhaul Network

December 14, 2021

Autonomous Navigation and Configuration of Integrated Access Backhauling for UAV Base Station Using Reinforcement Learning
Hongyi Zhang, Jingya Li, Zhiqiang Qi, Xingqin Lin, Anders Aronsson, Jan Bosch, Helena Holmström Olsson
Reinforcement Learning Autonomous Navigation Mobile Network Cellular Network Base Station System Configuration Safety Critical Domain Backhaul Network

Backhaul Network

Papers

Edge Caching Optimization with PPO and Transfer Learning for Dynamic Environments

Enhancing Sum-Rate Performance in Constrained Multicell Networks: A Low-Information Exchange Approach

Resource-Aware Hierarchical Federated Learning in Wireless Video Caching Networks

Resource-Aware Hierarchical Federated Learning for Video Caching in Wireless Networks

Deep Reinforcement Learning Based Cross-Layer Design in Terahertz Mesh Backhaul Networks

Federated Multi-Agent Deep Reinforcement Learning for Dynamic and Flexible 3D Operation of 5G Multi-MAP Networks

Integrated Access and Backhaul in 5G with Aerial Distributed Unit using OpenAirInterface

Learning Hierarchical Resource Allocation and Multi-agent Coordination of 5G mobile IAB Nodes

Constrained Deployment Optimization in Integrated Access and Backhaul Networks

AoI-based Temporal Attention Graph Neural Network for Popularity Prediction and Content Caching

5G Network on Wings: A Deep Reinforcement Learning Approach to the UAV-based Integrated Access and Backhaul

Robotic Aerial 6G Small Cells with Grasping End Effectors for mmWave Relay Backhauling

Autonomous Navigation and Configuration of Integrated Access Backhauling for UAV Base Station Using Reinforcement Learning