基于网络与业务联合感知的无线视频跨层传输与码率自适应技术

邓志吉; 钟广海; 姜哲华; 叶奇; 符哲蔚; 张朝阳

doi:10.11959/j.issn.1000-0801.DXKX260058

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基于网络与业务联合感知的无线视频跨层传输与码率自适应技术

更新时间：2026-05-11

- 基于网络与业务联合感知的无线视频跨层传输与码率自适应技术
- Wireless Video Cross-Layer Transmission and Bitrate Adaptation Technology Based on Joint Network and Service Perception
- 电信科学 2026年
- 作者机构：
  
  1.浙江大学，浙江杭州 310058
  2.浙江大华技术股份有限公司，浙江杭州 310053
  3.全省视觉物联融合技术重点实验室，浙江杭州 310053
- 作者简介：
  
  邓志吉（1985− ），男，正高级工程师，省重点实验室副主任，主要研究方向是视频基础技术和新一代无线网络技术，主持/参与过7项国家/省部级重大科研项目，项目总金额超过6亿。
  [ "钟广海（1989− ），男，高级工程师，大华股份中央研究院资深工程师，主要研究方向为无线流媒体与智能网络传输技术研究及应用，授权发明专利20余项，参与过多项国家级和省级项目。" ]
  [ "姜哲华（1982− ），男，高级工程师，国家级工业设计中心副主任、省重点实验室研究员，主要研究方向为多维感知前沿技术，主持/参与过10项国家/省部级重大科研项目，主导3项标准制定，并获得专利申请40余项。" ]
  [ "叶奇（1985− ），通信作者，男，大华股份中央研究院流媒体实验室技术总监，省重点实验室方向带头人，主要研究方向为超高清视频解码、5G和WiFi流媒体传输等领域创新技术及应用，参与多项国家级和省级项目。" ]
  [ "符哲蔚（1988− ），男，正高级工程师，大华股份中央研究院系分专家，主要研究方向为视频领域创新技术的应用及方案设计，参与5项国家/省部级重大科研项目，组织开展视频网络技术创新近10项，主导参与10余项标准和白皮书制订。" ]
  [ "张朝阳（1973−），男，浙江大学求是特聘教授、二级教授，国家卓越工程师学院副院长，全省多模态通信网络与智能信息处理重点实验室主任，中国通信学会会士。主要研究领域涉及感知、通信与计算前沿交叉理论与技术，承担和完成国家项目和课题 20 余项，发表论文 500 余篇，被引近 2 万次。" ]
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.DXKX260058
  中图分类号： TN919.3
- 收稿：2026-01-21，
  
  修回：2026-03-23，
  
  录用：2026-04-09，
- 稿件说明：
移动端阅览
邓志吉, 钟广海, 姜哲华, 等. 基于网络与业务联合感知的无线视频跨层传输与码率自适应技术[J/OL]. 电信科学, 2026.

DENG Zhiji, ZHONG Guanghai, JIANG Zhehua, et al. Wireless Video Cross-Layer Transmission and Bitrate Adaptation Technology Based on Joint Network and Service Perception[J/OL]. Telecommunications Science, 2026.
邓志吉, 钟广海, 姜哲华, 等. 基于网络与业务联合感知的无线视频跨层传输与码率自适应技术[J/OL]. 电信科学, 2026. DOI： 10.11959/j.issn.1000-0801.DXKX260058.

DENG Zhiji, ZHONG Guanghai, JIANG Zhehua, et al. Wireless Video Cross-Layer Transmission and Bitrate Adaptation Technology Based on Joint Network and Service Perception[J/OL]. Telecommunications Science, 2026. DOI： 10.11959/j.issn.1000-0801.DXKX260058.

摘要

随着视频应用加速迈向智能化与无线化，开放且变化的无线网络环境给高质量视频传输带来了严峻挑战，难以满足数字安防、工业监控等关键业务对低时延、高可靠性的严苛需求。为此，本文提出一种基于网络与业务联合感知的无线视频跨层传输与码率自适应技术方案。首先，设计了一种融合无线网络拥塞状态感知与视频编码控制的跨层传输优化机制，实现视频传输与网络资源的协同调度，显著提升带宽利用效率；其次，提出了一种端到端的码流自适应方法，通过全链路无线状态感知与编解码参数联合调控，实现播放端与设备端协同的码率调整，保障视频流畅播放。实验结果表明，该方案在动态无线环境下有效增强了视频传输的实时性与稳定性，能很好地适用于当前视频从有线传输向5G、Wi-Fi 6等新兴无线传输转变趋势下的高要求智能服务场景。

Abstract

As video applications rapidly advance toward intelligence and wireless capabilities

the open and dynamic nature of wireless networks poses severe challenges for high-quality video transmission

making it difficult to meet the stringent demands of low latency and high reliability required by critical applications such as digital security and industrial surveillance. To this end

this paper proposes a wireless video cross-layer transmission and bitrate adaptation scheme based on joint network and service perception. First

a cross-layer transmission optimization mechanism was designed to integrate wireless network congestion state awareness with video encoding control

achieving coordinated scheduling of video transmission and network resources

significantly improving bandwidth utilization efficiency; Secondly

an end-to-end bitrate adaptation method is proposed

which achieves collaborative bitrate adjustment between the playback and device ends through full-link wireless state sensing and joint control of encoding/decoding parameters

ensuring smooth video playback. The experimental results demonstrate that this solution effectively enhances the real-time performance and stability of video transmission in dynamic wireless environments

making it well-suited for high-demand intelligent service scenarios under the current trend of transitioning from wired to emerging wireless transmission technologies like 5G and Wi-Fi 6.

关键词

Keywords

references

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