结合客户端播放速率和优先级的码率自适应算法
文献类型：期刊论文
| 作者 | 宋锐星; 曾学文; 王旭; 韩锐 |
| 刊名 | IEEE ACCESS
 |
| 出版日期 | 2020 |
| 期号 | 7页码:135352 |
| ISSN号 | 2169-3536 |
| DOI | DOI: 10.1109/ACCESS.2019.2941051 |
| 英文摘要 | HAS (HTTP-based Adaptive Streaming) based on ABR (Adaptive Bitrate Rate selection) has become a prevalent solution to media transmission. In order to improve the performance of HAS, many studies focus on how to reduce the unfairness, the instability and the inefficiency in a multi-clients scenario. However, the unfairness problem of the multi-clients with different priority levels and different playback rates, and the instability problem caused by the changes of the playback rate are still unresolved. To solve these problems, a novel ABR algorithm called PREPARE is proposed in this paper. In addition to normally considered throughput and client buffer information in HAS system model, the client priority and the playback rate are also incorporated to make the system model more accurate. With the feedback from servers, PREPARE algorithm is able to estimate the bandwidth much precisely and to reduce the unfairness among the multi-clients. The stability in bitrate selection is improved by introducing the buffer status in conjunction with the real-time playback rate. Moreover, the buffer underflow is prevented in download scheduling by advancing download according to the real-time playback rate. NS-3 simulator is used to evaluate the performance of PREPARE. The performance results show that PREPARE reduces the unfairness among multi-clients by more than 42% comparing to other three algorithms including ESTC, PANDA, FDASH. Meanwhile, PREPARE simultaneously keeps high stability and high efficiency. |
| URL标识 | 查看原文 |
| 源URL | [http://159.226.59.140/handle/311008/9572]  |
| 专题 | 历年期刊论文_2020年期刊论文 |
| 作者单位 | 中国科学院声学研究所 |
| 推荐引用方式 GB/T 7714 | 宋锐星；曾学文；王旭；韩锐. 结合客户端播放速率和优先级的码率自适应算法[J]. IEEE ACCESS,2020(7):135352. |
| APA | 宋锐星；曾学文；王旭；韩锐.(2020).结合客户端播放速率和优先级的码率自适应算法.IEEE ACCESS(7),135352. |
| MLA | 宋锐星；曾学文；王旭；韩锐."结合客户端播放速率和优先级的码率自适应算法".IEEE ACCESS .7(2020):135352. |
入库方式： OAI收割
来源：声学研究所
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