ICC 2019 - 2019 IEEE International Conference on Communications (ICC) 2019
DOI: 10.1109/icc.2019.8761683
|View full text |Cite
|
Sign up to set email alerts
|

QoE-Aware Video Collaborative Distribution Mechanism in Cloud Radio Access Networks

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

1
1
0

Year Published

2019
2019
2021
2021

Publication Types

Select...
2
2

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(2 citation statements)
references
References 19 publications
1
1
0
Order By: Relevance
“…Consequently, an outstanding energy storage density value of 3.84 J/cm 3 with an excellent efficiency value of 93.2% is achieved simultaneously under an applied electric field of 410 kV/cm. A comparison of W rec and η values of the SKNT-0.8 ceramic and those reported in lead-based, ,, Bi-based perovskite-based, ,,, and Pb/Bi-free TB-based ,,, is shown in the Figure f. Apparently, the remarkable energy storage density and efficiency realized simultaneously in this study can be on a par with that of most Bi-based perovskite-based ceramics reported recently and are significantly superior than that of other TB-based ceramics, showing great advantages in potential high-power energy capacitor applications.…”
Section: Resultssupporting
confidence: 54%
“…Consequently, an outstanding energy storage density value of 3.84 J/cm 3 with an excellent efficiency value of 93.2% is achieved simultaneously under an applied electric field of 410 kV/cm. A comparison of W rec and η values of the SKNT-0.8 ceramic and those reported in lead-based, ,, Bi-based perovskite-based, ,,, and Pb/Bi-free TB-based ,,, is shown in the Figure f. Apparently, the remarkable energy storage density and efficiency realized simultaneously in this study can be on a par with that of most Bi-based perovskite-based ceramics reported recently and are significantly superior than that of other TB-based ceramics, showing great advantages in potential high-power energy capacitor applications.…”
Section: Resultssupporting
confidence: 54%
“…Many wireless resource allocation algorithms to improve the client's QoE in cloud-based video streaming services exist. The authors in [23] narrowed the range of resource allocation by dividing clients into four types based on their buffer time to decrease the average playback rebuffering time of clients. However, the proposed greedy algorithm still cannot obtain the optimal resource allocation.…”
Section: Qoe-driven Wireless Resource Allocation Algorithmsmentioning
confidence: 99%