Impacts of Device Caching of Content Fractions on Expected Content Quality
Author:
Affiliation:
1. Artificial Intelligence Convergence Research Center for Regional Innovation, Korea Maritime & Ocean University, Busan, South Korea
2. Department of Electronic Engineering, Kyung Hee University, Yongin, South Korea
Funder
Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education
Institute of Information & Communications Technology Planning and Evaluation (IITP) Grant funded by the Korea Government
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/5962382/9771304/09718509.pdf?arnumber=9718509
Reference11 articles.
1. Wireless Video Caching and Dynamic Streaming Under Differentiated Quality Requirements
2. Wireless Device-to-Device Caching Networks: Basic Principles and System Performance
3. Dynamic video delivery using deep reinforcement learning for device-to-device underlaid cache-enabled Internet-of-vehicle networks
4. Smart Proactive Caching: Empower the Video Delivery for Autonomous Vehicles in ICN-Based Networks
5. Individual Preference Probability Modeling and Parameterization for Video Content in Wireless Caching Networks
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