Quality, Reliability, Security and Robustness in Heterogeneous Networks. 7th International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QShine 2010, and Dedicated Short Range Communications Workshop, DSRC 2010, Houston, TX, USA, November 17-19, 2010, Revised Selected Papers

Research Article

Downlink Power Allocation for Stored Variable-Bit-Rate Videos

Download
440 downloads
  • @INPROCEEDINGS{10.1007/978-3-642-29222-4_34,
        author={Yingsong Huang and Shiwen Mao and Yihan Li},
        title={Downlink Power Allocation for Stored Variable-Bit-Rate Videos},
        proceedings={Quality, Reliability, Security and Robustness in Heterogeneous Networks. 7th International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QShine 2010, and Dedicated Short Range Communications Workshop, DSRC 2010, Houston, TX, USA, November 17-19, 2010, Revised Selected Papers},
        proceedings_a={QSHINE},
        year={2012},
        month={10},
        keywords={convex optimization distributed algorithm downlink power control video streaming variable bit rate video},
        doi={10.1007/978-3-642-29222-4_34}
    }
    
  • Yingsong Huang
    Shiwen Mao
    Yihan Li
    Year: 2012
    Downlink Power Allocation for Stored Variable-Bit-Rate Videos
    QSHINE
    Springer
    DOI: 10.1007/978-3-642-29222-4_34
Yingsong Huang1,*, Shiwen Mao1,*, Yihan Li1,*
  • 1: Auburn University
*Contact email: yzh0002@auburn.edu, smao@ieee.org, yli@auburn.edu

Abstract

In this paper, we study the problem of power allocation for streaming multiple variable-bit-rate (VBR) videos in the downlink of a cellular network. We consider a deterministic model for VBR video traffic and finite playout buffer at the mobile users. The objective is to derive the optimal downlink power allocation for the VBR video sessions, such that the video data can be delivered in a timely fashion without causing playout buffer overflow and underflow. The formulated problem is a nonlinear nonconvex optimization problem. We analyze the convexity conditions for the formulated problem and propose a two-step greedy approach to solve the problem. We also develop a distributed algorithm based on the dual decomposition technique. The performance of the proposed algorithms are validated with simulations using VBR video traces under realistic scenarios.