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A QoE centric distributed caching approach for vehicular video streaming in cellular networks

Version 2 2024-06-13, 09:27
Version 1 2016-03-18, 17:11
journal contribution
posted on 2024-06-13, 09:27 authored by F Sun, B Liu, F Hou, H Zhou, J Chen, Y Rui, L Gui
Distributed caching-empowered wireless networks can greatly improve the efficiency of data storage and transmission and thereby the users' quality of experience (QoE). However, how this technology can alleviate the network access pressure while ensuring the consistency of content delivery is still an open question, especially in the case where the users are in fast motion. Therefore, in this paper, we investigate the caching issue emerging from a forthcoming scenario where vehicular video streaming is performed under cellular networks. Specifically, a QoE centric distributed caching approach is proposed to fulfill as many users' requests as possible, considering the limited caching space of base stations and basic user experience guarantee. Firstly, a QoE evaluation model is established using verified empirical data. Also, the mathematic relationship between the streaming bit rate and actual storage space is developed. Then, the distributed caching management for vehicular video streaming is formulated as a constrained optimization problem and solved with the generalized-reduced gradient method. Simulation results indicate that our approach can improve the users' satisfaction ratio by up to 40%.

History

Journal

Wireless communications and mobile computing

Volume

16

Pagination

1612-1624

Location

London, Eng.

Open access

  • Yes

ISSN

1530-8669

eISSN

1530-8677

Language

eng

Publication classification

C Journal article, C1 Refereed article in a scholarly journal

Copyright notice

2015, Wiley

Issue

12

Publisher

Wiley