Workshop on QoE-Aware Resource Allocation for Multimedia Communications

Research Article

QoE-Aware Resource Allocation for Video Transmissions over MIMO Systems

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  • @INPROCEEDINGS{10.4108/eai.13-7-2017.2270678,
        author={Qian Wang and Yilong Yin and Xiushan Nie},
        title={QoE-Aware Resource Allocation for Video Transmissions over MIMO Systems},
        proceedings={Workshop on QoE-Aware Resource Allocation for Multimedia Communications},
        publisher={EAI},
        proceedings_a={QOE-RAMC},
        year={2017},
        month={12},
        keywords={qoe; cross layer design; mimo; resource allocation; video transmission},
        doi={10.4108/eai.13-7-2017.2270678}
    }
    
  • Qian Wang
    Yilong Yin
    Xiushan Nie
    Year: 2017
    QoE-Aware Resource Allocation for Video Transmissions over MIMO Systems
    QOE-RAMC
    EAI
    DOI: 10.4108/eai.13-7-2017.2270678
Qian Wang1,*, Yilong Yin2, Xiushan Nie1
  • 1: 1. School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan, China 2. School of Computer Science and Technology, Shandong University, Jinan, China
  • 2: School of Computer Science and Technology, Shandong University, Jinan, China
*Contact email: qianwang@sdufe.edu.cn

Abstract

With the rapid increasing demands of wireless media applications, it becomes more and more important on video transmission technologies. With the rapid growth of media application, QoE (quality of experience), that is the standard of quality of service, many researchers focus on the topic of the application of QoE in wireless communications. This paper presents an energy effective QoE-aware resource allocation algorithm in multiuser Multiple Input Multiple Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) systems. The resource allocation problem is formulated to maximize the overall QoE by jointly considering the subcarrier allocation under the total power constraint. We have analyzed the performance of wireless communication according to both RD (rate distortion) in the upper layer and the channel condition in the PHY layer (physical layer). In the simulation results, we can see that the proposed resource allocation algorithm has maximized the quality of video under the minimum of the sum distortion of all video streaming with the time-varying wireless channels under total constraints of power.