A Feature-Based Bayesian Method for Content Popularity Prediction in Edge-Caching Networks-Reference-Cited by-同舟云学术

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A Feature-Based Bayesian Method for Content Popularity Prediction in Edge-Caching Networks

Published:2019-04 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE Wireless Communications and Networking Conference (WCNC)
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Author:

Mehrizi Sajad,Tsakmalis Anestis,Chatzinotas Symeon,Ottersten Bjorn

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8870904/8885408/08885590.pdf?arnumber=8885590

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. AoI-Based Temporal Attention Graph Neural Network for Popularity Prediction and Content Caching;IEEE Transactions on Cognitive Communications and Networking;2023-04

2. Content Popularity Prediction Based on Quantized Federated Bayesian Learning in Fog Radio Access Networks;IEEE Transactions on Communications;2023-02

3. Cost-efficient edge caching and Q-learning-based service selection policies in MEC;Wireless Networks;2022-09-15

4. Blockchain-assisted caching optimization and data storage methods in edge environment;The Journal of Supercomputing;2022-06-03

5. Content Popularity Prediction in Fog-RANs: A Bayesian Learning Approach;2021 IEEE Global Communications Conference (GLOBECOM);2021-12

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