10th EAI International Conference on Communications and Networking in China

Research Article

QoS-Aware Energy-Efficient Multicast for Multi-view Video with Fractional Frequency Reuse

  • @INPROCEEDINGS{10.4108/eai.15-8-2015.2260579,
        author={Quanxin Zhao and Yuming Mao and Supeng Leng and Geyong Min},
        title={QoS-Aware Energy-Efficient Multicast for Multi-view Video with Fractional Frequency Reuse},
        proceedings={10th EAI International Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2015},
        month={9},
        keywords={multi-view video multicast energy efficiency qos fractional frequency reuse},
        doi={10.4108/eai.15-8-2015.2260579}
    }
    
  • Quanxin Zhao
    Yuming Mao
    Supeng Leng
    Geyong Min
    Year: 2015
    QoS-Aware Energy-Efficient Multicast for Multi-view Video with Fractional Frequency Reuse
    CHINACOM
    IEEE
    DOI: 10.4108/eai.15-8-2015.2260579
Quanxin Zhao1, Yuming Mao1, Supeng Leng1,*, Geyong Min2
  • 1: University of Electronic Science and Technology of China
  • 2: University of Exeter
*Contact email: spleng@uestc.edu.cn

Abstract

It is very challenging to support multimedia services with the strict requirements of Quality-of-Service (QoS) in bandwidth limited wireless cellular networks, especially for cell edge users who often suffer from co-channel interference. Multiview Video (MVV) is an increasingly popular multimedia service, which consists of multiple video streams captured by close spaced cameras and permits changeable viewpoints by playing different streams. To eliminate Overlapping Frames (OFs) of MVV and guarantee the required QoS, this paper develops a new stream architecture called Overlapping Reduced Multi-view video Transmission (ORMT) and proposes a novel multicast Fractional Frequency Reuse (FFR) network model. An optimization problem is then formulated to maximize the Energy Efficiency (EE) of the network under QoS constraint. This problem can be relaxed to a suboptimal one, which is proved to be convex. A low-complexity scheme solving the optimization problem is then proposed to allocate frequency resources based on the QoS requirements for both cell edge users and cell center users. The simulation results demonstrate that the proposed ORMT architecture can save the bandwidth up to 50%. Meanwhile, there is only 4% gap between the performance of the proposed scheme and that of the optimal solution.