Wireless Video Cross-Layer Transmission and Bitrate Adaptation Technology Based on Joint Network and Service Perception

DENG Zhiji; ZHONG Guanghai; JIANG Zhehua; YE Qi; FU Zhewei; ZHANG Chaoyang

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

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Wireless Video Cross-Layer Transmission and Bitrate Adaptation Technology Based on Joint Network and Service Perception

更新时间：2026-05-11

- Wireless Video Cross-Layer Transmission and Bitrate Adaptation Technology Based on Joint Network and Service Perception
- Telecommunications Science (2026)
- 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：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.DXKX260058
  CLC： TN919.3
- Received：21 January 2026，
  
  Revised：2026-03-23，
  
  Accepted：09 April 2026，
- 稿件说明：
移动端阅览
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：

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.

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references

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