Cache Sharing in UAV-Enabled Cellular Network: A Deep Reinforcement Learning-Based Approach-Reference-Cited by-同舟云学术

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Cache Sharing in UAV-Enabled Cellular Network: A Deep Reinforcement Learning-Based Approach

Published:2024 Issue: Volume:12 Page:43422-43435
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Muslih Hamidullah¹^ORCID,Kazmi S. M. Ahsan²^ORCID,Mazzara Manuel¹^ORCID,Baye Gaspard³^ORCID

Affiliation:

1. Institute of Software Development and Engineering, Innopolis University, Innopolis, Russia

2. Department of Computer Science and Creative Technologies, University of the West of England, Bristol, U.K

3. Department of Computer and Information Science, University of Massachusetts Dartmouth, North Dartmouth, MA, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10475316.pdf?arnumber=10475316

Reference39 articles.

1. Power Control in UAV-Supported Ultra Dense Networks: Communications, Caching, and Energy Transfer

2. Deep Learning-Based Network-Wide Energy Efficiency Optimization in Ultra-Dense Small Cell Networks

3. A Tutorial on UAVs for Wireless Networks: Applications, Challenges, and Open Problems

4. Proactive Caching for Mobile Video Streaming in Millimeter Wave 5G Networks

5. Handover triggering estimation based on fuzzy logic for LTE-A/5 G networks with ultra-dense small cells

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1. Analyzing Error Probability in Aerial Full-Duplex Relay Systems: Exact Formulations and Optimization Techniques;Digital Signal Processing;2024-09

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