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This chapter presents a game QoE evaluation method based on network QoS parameters. Using MOBA and FPS games as cases, it analyzes the impact of packet loss and latency on user experience through subjective MOS scoring. Exponential models were fitted to predict QoE, showing high accuracy. Results indicate League of Legends is more sensitive to QoS degradation than Overwatch 2, supporting the model's practical applicability.

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Design and Implementation of a Game QoE Monitoring and Evaluation System Driven by Network Traffic Analysis

  • 会议论文

  • 发表日期：

    2026年

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  • Xia Hua

摘要

This chapter presents a game QoE evaluation method based on network QoS parameters. Using MOBA and FPS games as cases, it analyzes the impact of packet loss and latency on user experience through subjective MOS scoring. Exponential models were fitted to predict QoE, showing high accuracy. Results indicate League of Legends is more sensitive to QoS degradation than Overwatch 2, supporting the model's practical applicability.