Name
Title | ||
|---|---|---|
Artificial Intelligence Aided Joint Bit Rate Selection and Radio Resource Allocation for Adaptive Video Streaming over F-RANs. |
Abstract | ||
|---|---|---|
Recently, fog-computing-based radio access networks (F-RANs) have been conceptualized to provide high quality of experience (QoE) for adaptive bit rate (ABR) streaming, where additional computing capacity is supplemented on fog nodes to facilitate complicated cross-layer optimization (i.e., joint bit rate selection and radio resource allocation). However, finding an optimal global solution with ac... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/MWC.001.1900351 | IEEE Wireless Communications |
Keywords | DocType | Volume |
Bit rate,Streaming media,Quality of experience,Resource management,Wireless communication,Artificial intelligence,Optimization | Journal | 27 |
Issue | ISSN | Citations |
2 | 1536-1284 | 3 |
PageRank | References | Authors |
0.38 | 11 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jienan Chen | 1 | 3 | 0.38 |
| Zhongxiang Wei | 2 | 23 | 3.71 |
| Shuai Li | 3 | 112 | 21.86 |
| Bin Cao | 4 | 3 | 0.38 |