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Mobile Multimedia Communications. 14th EAI International Conference, Mobimedia 2021, Virtual Event, July 23-25, 2021, Proceedings

Research Article

A QoE Evaluation and Adaptation Method for Multi-player Online Games

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  • @INPROCEEDINGS{10.1007/978-3-030-89814-4_12,
        author={Zaijian Wang and Wei Guo and Le Zhao and Weidong Yang and Shiwen Mao and Zhipeng Li},
        title={A QoE Evaluation and Adaptation Method for Multi-player Online Games},
        proceedings={Mobile Multimedia Communications. 14th EAI International Conference, Mobimedia 2021, Virtual Event, July 23-25, 2021, Proceedings},
        proceedings_a={MOBIMEDIA},
        year={2021},
        month={11},
        keywords={Multi-Player Online Game (MPOG) Resource allocation Quality of Experience (QoE) Mean Opinion Score (MOS) 5G wireless},
        doi={10.1007/978-3-030-89814-4_12}
    }
    
  • Zaijian Wang
    Wei Guo
    Le Zhao
    Weidong Yang
    Shiwen Mao
    Zhipeng Li
    Year: 2021
    A QoE Evaluation and Adaptation Method for Multi-player Online Games
    MOBIMEDIA
    Springer
    DOI: 10.1007/978-3-030-89814-4_12
Zaijian Wang1,*, Wei Guo1, Le Zhao1, Weidong Yang2, Shiwen Mao3, Zhipeng Li1
  • 1: The School of Physics and Electronic Information, Anhui Normal University, Wuhu
  • 2: The Key Laboratory of Grain Information Processing and Control at Henan University of Technology, Ministry of Education, Zhengzhou
  • 3: Department of Electrical and Computer Engineering, Auburn University, Auburn
*Contact email: wangzaijian@ustc.edu

Abstract

To evaluate the performance of multi-player online games (MPOGs) (e.g., the online Chinese poker game), this paper presents a novel Effective Quality of Experience (EQoE) concept that considers the interaction among multiple players. A novel QoE evaluation and adaptation method is proposed utilizing EQoE. Specifically, the proposed method assigns different weights to different players according to their roles in the multi-player online poker game. Some players with a lower weight are willing to reduce their own QoE to save network resources for players with a higher weight in order to keep the game going under poor network conditions. Our simulation study demonstrates the feasibility of the proposed QoE evaluation and adaptation method.

Keywords
Multi-Player Online Game (MPOG) Resource allocation Quality of Experience (QoE) Mean Opinion Score (MOS) 5G wireless
Published
2021-11-02
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-89814-4_12
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