Name
Title | ||
|---|---|---|
Proactive Caching for Vehicular Multi-View 3D Video Streaming via Deep Reinforcement Learning. |
Abstract | ||
|---|---|---|
This paper investigates the problem of proactive caching for multi-view 3D videos in the fifth generation (5G) networks. We establish a mathematical model for this problem, and point out that it is difficult to solve the problem with traditional dynamic programming, then we propose a deep reinforcement learning approach to solve it. First, we model the proactive caching system for multi-view 3D vi... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TWC.2019.2907077 | IEEE Transactions on Wireless Communications |
Keywords | Field | DocType |
Streaming media,Three-dimensional displays,5G mobile communication,Reinforcement learning,Base stations,Wireless communication,Heuristic algorithms | Base station,Dynamic programming,User experience design,Wireless,Video streaming,Markov decision process,Computer network,Memory management,Mathematics,Distributed computing,Reinforcement learning | Journal |
Volume | Issue | ISSN |
18 | 5 | 1536-1276 |
Citations | PageRank | References |
8 | 0.43 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhengming Zhang | 1 | 10 | 2.14 |
| Yaoqing Yang | 2 | 123 | 12.82 |
| Meng Hua | 3 | 122 | 8.93 |
| Chunguo Li | 4 | 48 | 10.72 |
| Yongming Huang | 5 | 1472 | 146.50 |
| Luxi Yang | 6 | 1180 | 118.08 |