Buchumschlag

Collaborative Optimization of Wireless Communication and Computing Resource Allocation based on Multi-Agent Federated Weighting Deep Reinforcement Learning

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Wu, Junjie, Fang, Xuming
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Networking and Internet Architecture
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

DRL Optimization Trajectory Generation via Wireless Network Intent-Guided Diffusion Models for Optimizing Resource Allocation
von: Wu, Junjie, et al.
Veröffentlicht: (2024)

An Integrated Communication and Computing Scheme for Wi-Fi Networks based on Generative AI and Reinforcement Learning
von: Du, Xinyang, et al.
Veröffentlicht: (2024)

Reinforcement Learning for Resource Allocation in Vehicular Multi-Fog Computing
von: Akbarzadeh, Mohammad Hadi, et al.
Veröffentlicht: (2025)

Federated Deep Reinforcement Learning-Based Intelligent Channel Access in Dense Wi-Fi Deployments
von: Du, Xinyang, et al.
Veröffentlicht: (2024)

Secure Deep Reinforcement Learning for Dynamic Resource Allocation in Wireless MEC Networks
von: Hao, Xin, et al.
Veröffentlicht: (2023)

Deep Diffusion Deterministic Policy Gradient based Performance Optimization for Wi-Fi Networks
von: Liu, Tie, et al.
Veröffentlicht: (2024)

A Fair Federated Learning Framework for Collaborative Network Traffic Prediction and Resource Allocation
von: Panda, Saroj Kumar, et al.
Veröffentlicht: (2025)

Improving Energy Efficiency in Federated Learning Through the Optimization of Communication Resources Scheduling of Wireless IoT Networks
von: de Oliveira, Renan R., et al.
Veröffentlicht: (2024)

Hybrid Centralized-Distributed Resource Allocation Based on Deep Reinforcement Learning for Cooperative D2D Communications
von: Yu, Yang, et al.
Veröffentlicht: (2024)

Adaptive Vision-Based Coverage Optimization in Mobile Wireless Sensor Networks: A Multi-Agent Deep Reinforcement Learning Approach
von: Soltani, Parham, et al.
Veröffentlicht: (2025)

Mobility-Aware Resource Allocation for mmWave IAB Networks: A Multi-Agent Reinforcement Learning Approach
von: Zhang, Bibo, et al.
Veröffentlicht: (2022)

Sharing-oriented Resource Allocation for Multi-platoon's Groupcasting and Unicasting Communication based on the Transmission Reliability
von: Huang, Chung-Ming, et al.
Veröffentlicht: (2026)

Exact Resource Allocation for Fair Wireless Relay
von: Arribas, Edgar, et al.
Veröffentlicht: (2023)

NetWorld: Communication-Based Diffusion World Model for Multi-Agent Reinforcement Learning in Wireless Networks
von: Meng, Kechen, et al.
Veröffentlicht: (2026)

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

Graph Neural Networks and Deep Reinforcement Learning Based Resource Allocation for V2X Communications
von: Ji, Maoxin, et al.
Veröffentlicht: (2024)

Optimizing Resource Allocation for Multi-modal Semantic Communication in Mobile AIGC Networks: A Diffusion-based Game Approach
von: Liu, Jian, et al.
Veröffentlicht: (2024)

Sub-Band Full Duplex Resource Allocation: A Predictive Deep Reinforcement Learning Approach
von: D, Abhiram, et al.
Veröffentlicht: (2026)

Applications of Multi-Agent Deep Reinforcement Learning Communication in Network Management: A Survey
von: Pi, Yue, et al.
Veröffentlicht: (2024)

Online Collaborative Resource Allocation and Task Offloading for Multi-access Edge Computing
von: Sun, Geng, et al.
Veröffentlicht: (2025)

Multi-Agent Deep Reinforcement Learning for Optimized Multi-UAV Coverage and Power-Efficient UE Connectivity
von: Cai, Xuli, et al.
Veröffentlicht: (2025)

Joint Computation Offloading and Resource Allocation for Maritime MEC with Energy Harvesting
von: Wang, Zhen, et al.
Veröffentlicht: (2025)

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

Learning-based Two-tiered Online Optimization of Region-wide Datacenter Resource Allocation
von: Chen, Chang-Lin, et al.
Veröffentlicht: (2023)

A Multi-Agent Reinforcement Learning Scheme for SFC Placement in Edge Computing Networks
von: Li, Congzhou, et al.
Veröffentlicht: (2024)

On Designing Multi-UAV aided Wireless Powered Dynamic Communication via Hierarchical Deep Reinforcement Learning
von: Zhao, Ze Yu, et al.
Veröffentlicht: (2023)

REACH: Reinforcement Learning for Efficient Allocation in Community and Heterogeneous Networks
von: Yu, Zhiwei, et al.
Veröffentlicht: (2025)

Federated Learning Meets Random Access: Energy-Efficient Uplink Resource Allocation
von: Perin, Giovanni, et al.
Veröffentlicht: (2026)

Joint Resource Allocation and Trajectory Design for Resilient Multi-UAV Communication Networks
von: Ge, Linghui, et al.
Veröffentlicht: (2024)

UAV-enabled Collaborative Beamforming via Multi-Agent Deep Reinforcement Learning
von: Liu, Saichao, et al.
Veröffentlicht: (2024)

Joint Service Caching, Communication and Computing Resource Allocation in Collaborative MEC Systems: A DRL-based Two-timescale Approach
von: Liu, Qianqian, et al.
Veröffentlicht: (2023)

Play to Earn in the Metaverse with Mobile Edge Computing over Wireless Networks: A Deep Reinforcement Learning Approach
von: Chua, Terence Jie, et al.
Veröffentlicht: (2023)

Energy-Efficient Routing Algorithm for Wireless Sensor Networks: A Multi-Agent Reinforcement Learning Approach
von: Soltani, Parham, et al.
Veröffentlicht: (2025)

Deep Reinforcement Learning for Delay-Optimized Task Offloading in Vehicular Fog Computing
von: Toopchinezhad, Mohammad Parsa, et al.
Veröffentlicht: (2024)

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

Statistically Robust Resource Block Allocation for Satellite Communications
von: Manapragada, Chaitanya, et al.
Veröffentlicht: (2026)

Low-Altitude Satellite-AAV Collaborative Joint Mobile Edge Computing and Data Collection via Diffusion-based Deep Reinforcement Learning
von: Wang, Boxiong, et al.
Veröffentlicht: (2026)

SARA -- A Semantic Access Point Resource Allocation Service for Heterogenous Wireless Networks
von: Zhou, Qianru, et al.
Veröffentlicht: (2020)

A Novel Multiple Access Scheme for Heterogeneous Wireless Communications using Symmetry-aware Continual Deep Reinforcement Learning
von: Mazandarani, Hamidreza, et al.
Veröffentlicht: (2025)

Collaborative Ground-Space Communications via Evolutionary Multi-objective Deep Reinforcement Learning
von: Li, Jiahui, et al.
Veröffentlicht: (2024)