Year: 2024
Type: conference-paper
Abstract: To improve the quality of experience (QoE) in video communications over lossy networks, this paper presents a transmission method that jointly optimizes buffer delay and Hybrid Automatic Repeat request (HARQ), referred to as BD-HARQ. This method operates on packet group of semantic video data and employs dynamic buffer delay combined with HARQ strategy for transmission. By defining the QoE based on metrics such as buffer delay, Forward Error Correction (FEC) redundancy, and data recovery rate, the proposed method derives its closed-form expression through rigorous mathematical modeling and analysis. The optimal transmission parameters, i.e., the buffer delay and the FEC redundancy, are then derived and implemented, guaranteeing the real-time performance, transmission efficiency, and data recovery rate of video communications. Experimental results demonstrate that the proposed method aligns well with its theoretical expectations, and that it can provide up to 13.7% higher QoE compared to existing methods and increase the tolerance for packet loss rate from 15%-22% to up to 31% while maintaining a high QoE. This method effectively enhances system performance and improves user experience in semantic communications.
Authors: Baoping Cheng, Peng Lei, Xiaoyan Xie, Tao Fu, Yukun Zhang, Xiaoming Tao
Institutions: Tsinghua University, China Mobile (China)
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4406355501