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# 国内外研究现状
## 一、实时视觉大模型通信需求研究
- **1. 流式视频理解与在线响应**
- VideoLLM-online: Online Video Large Language Model for Streaming Video2024
- LiveVLM: Efficient Online Video Understanding via Streaming-Oriented KV Cache and Retrieval2025
- CodecSight: Leveraging Video Codec Signals for Efficient Streaming VLM Inference2026
- **2. 在线视频理解评测基准**
- OVO-Bench: How Far is Your Video-LLMs from Real-World Online Video Understanding?2025
- StreamingBench: Assessing the Gap for MLLMs to Achieve Streaming Video Understanding2026
- **3. 边缘/具身智能应用**
- Vision-Language Models on the Edge for Real-Time Robotic Perception2026
- RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control2023
- OpenVLA: An Open-Source Vision-Language-Action Model2025
- EgoLife: Towards Egocentric Life Assistant2025
## 二、面向视频类 AI 的视频传输优化研究
- **1. 面向视频分析的自适应传输**
- Reinventing Video Streaming for Distributed Vision Analytics2018
- AWStream: Adaptive Wide-Area Streaming Analytics2018
- Chameleon: Scalable Adaptation of Video Analytics2018
- **2. 边缘视频分析与模型反馈驱动传输**
- Server-Driven Video Streaming for Deep Learning Inference2020
- Enabling Edge-Cloud Video Analytics for Robotics Applications2021
- CASVA: Configuration-Adaptive Streaming for Live Video Analytics2022
- **3. 面向多模态大模型的视频通信优化**
- Chat with AI: The Surprising Turn of Real-Time Video Communication from Human to AI2025
- ARtIC: AI-Oriented Real-Time Communication for MLLM Video Assistant2026
## 三、WebRTC 优化研究
- **1. 端到端拥塞控制**
- Making Google Congestion Control Robust over Wi-Fi Networks Using Packet Grouping2016
- Congestion Control for Web Real-Time Communication2017
- Learning-Based Congestion Control for Internet Video Communication over Wireless Networks2018
- Statistical Learning Based Congestion Control for Real-Time Video Communication2020
- **2. 动态网络下的速率控制**
- Vidaptive: Efficient and Responsive Rate Control for Real-Time Video on Variable Networks2024
- Mustang: Improving QoE for Real-Time Video in Cellular Networks by Masking Jitter2024
- Mortise: Auto-Tuning Congestion Control to Optimize QoE via Network-Aware Parameter Optimization2026
- **3. 多维视频 QoE 与 FEC 优化**
- R-FEC: RL-Based FEC Adjustment for Better QoE in WebRTC2022
- Mamba: Bringing Multi-Dimensional ABR to WebRTC2023
- ABRF: Adaptive Bitrate-FEC Joint Control for Real-Time Video Streaming2023
- Real-Time Rate Control of WebRTC Video Streams in 5G Networks: Improving Quality of Experience with Deep Reinforcement Learning2024
## 四、Wi-Fi 实时业务优化研究
- **1. Wi-Fi 实时业务 QoS 与低时延机制**
- Tuning Channel Access to Enable Real-Time Applications in Wi-Fi 72020
- Time-Sensitive Networking in IEEE 802.11be: On the Way to Low-Latency WiFi 72021
- **2. Wi-Fi 配置与实时视频 QoE 测量**
- Understanding the Impact of Wi-Fi Configuration on Volumetric Video Streaming Applications2023
- Experimental Evaluation of Interactive Edge/Cloud Virtual Reality Gaming over Wi-Fi Using Unity Render Streaming2024
- **3. Wi-Fi 状态辅助应用层传输控制**
- Revisiting Congestion Control for WiFi Networks2024
- Athena: Seeing and Mitigating Wireless Impact on Video Conferencing and Beyond2024
- **4. 应用层信息辅助 Wi-Fi 调度**
- Flick: Frame-Perceptive Packet Scheduling for Low-Latency Video Services in Wi-Fi Networks2025
- LAW: Towards Consistent Low Latency in 802.11 Home Networks2026
- BLADE: Adaptive Wi-Fi Contention Control for Next-Generation Real-Time Communication2026