Caching Strategy and Resource Allocation in Cache-Enabled UAV Networks: A Deep Reinforcement Learning Approach

Jian Chen; Fangqing Tan; Hongbin Chen; Shichao Li

doi:10.1109/iccc62479.2024.10681702

ScienceGate Book Chapters

JOURNAL ARTICLE

Caching Strategy and Resource Allocation in Cache-Enabled UAV Networks: A Deep Reinforcement Learning Approach

Jian Chen Fangqing Tan Hongbin Chen Shichao Li

Year: 2024 Pages: 283-288

DOI: 10.1109/iccc62479.2024.10681702

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Reinforcement learning Cache Resource allocation Resource management (computing) Computer network Resource (disambiguation) Distributed computing Artificial intelligence

Metrics

Cited By

0.84

FWCI (Field Weighted Citation Impact)

Refs

0.64

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Caching and Content Delivery

Physical Sciences → Computer Science → Computer Networks and Communications

UAV Applications and Optimization

Physical Sciences → Engineering → Aerospace Engineering

Opportunistic and Delay-Tolerant Networks

Physical Sciences → Computer Science → Computer Networks and Communications

Caching Strategy and Resource Allocation in Cache-Enabled UAV Networks: A Deep Reinforcement Learning Approach

Metrics

Citation History

Topics

Related Documents

Multi-agent Deep Reinforcement Learning-Based Content Caching in Cache-Enabled Networks

Deep Reinforcement Learning Approaches for Content Caching in Cache-Enabled D2D Networks

Resource Allocation in MEC-enabled Vehicular Networks: A Deep Reinforcement Learning Approach

Caching Placement and Resource Allocation in Drone Networks for URLLC: A Deep Reinforcement Learning Approach

Reinforcement learning based resource allocation in cache-enabled small cell networks with mobile users