Survey on reinforcement learning based adaptive bit rate algorithm for mobile video streaming services
In recent years, with the continuous release of HTTP adaptive streaming (HAS) video datasets and network trace datasets, the machine learning methods, such as deep learning and reinforcement learning, have been continuously applied to adaptive bit rate (ABR) algorithms, which obtain the optimal stra...
Saved in:
| Main Authors: | Li’na DU, Li ZHUO, Shuo YANG, Jiafeng LI, Jing ZHANG |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2021-09-01
|
| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021178/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Survey on reinforcement learning based adaptive bit rate algorithm for mobile video streaming services
by: Li’na DU, et al.
Published: (2021-09-01) -
Device-Based Cellular Throughput Prediction for Video Streaming: Lessons From a Real-World Evaluation
by: Darijo Raca, et al.
Published: (2024-01-01) -
Quality of service optimization algorithm based on deep reinforcement learning in software defined network
by: Cenhuishan LIAO, et al.
Published: (2023-03-01) -
Impact of Wireless Network Packet Loss on Real-Time Video Streaming Application: A Comparative Study of H.265 and H.266 Codecs
by: Miran Taha Abdullah, et al.
Published: (2024-09-01) -
Deep Reinforcement Learning-Based Resource Allocation for QoE Enhancement in Wireless VR Communications
by: Georgios Kougioumtzidis, et al.
Published: (2025-01-01)