Joint Optimization of Buffer Delay and HARQ for Video Communications

TL;DR

This paper introduces BD-HARQ, a joint optimization method for buffer delay and HARQ in video transmission, significantly enhancing QoE and packet loss tolerance over lossy networks.

Contribution

It proposes a novel joint optimization framework for buffer delay and HARQ, with a mathematical model and real-time implementation for improved video communication quality.

Findings

Up to 13.7% higher QoE compared to existing methods.

Increased packet loss tolerance from 15-22% to 31%.

Validated through experiments aligning with theoretical analysis.

Abstract

To improve the quality of experience (QoE) in video communication 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 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 determined and implemented, guaranteeing the real-time performance, transmission efficiency, and data recovery rate of video communication. 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.