Channel-adaptive resource allocation for scalable video transmission over 3G wireless network

  • Authors:

  • Qian Zhang;Wenwu Zhu;Ya-Qin Zhang

  • Affiliations:

  • Microsoft Res. Asia, Beijing, China;-;-

  • Venue:
  • IEEE Transactions on Circuits and Systems for Video Technology
  • Year:
  • 2004

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Abstract

The paper addresses the important issues of resource allocation for scalable video transmission over third generation (3G) wireless networks. By taking the time-varying wireless channel/network condition and scalable video codec characteristic into account, we allocate resources between source and channel coders based on the minimum-distortion or minimum-power consumption criterion. Specifically, we first present how to estimate the time-varying wireless channel/network condition through measurements of throughput and error rate in a 3G wireless network. Then, we propose a new distortion-minimized bit allocation scheme with hybrid unequal error protection (UEP) and delay-constrained automatic repeat request (ARQ), which dynamically adapts to the estimated time-varying network conditions. Furthermore, a novel power-minimized bit allocation scheme with channel-adaptive hybrid UEP and delay-constrained ARQ is proposed for mobile devices. In our proposed distortion/power-minimized bit-allocation scheme, bits are optimally distributed among source coding, forward error correction, and ARQ according to the varying channel/network condition. Simulation and analysis are performed using a progressive fine granularity scalability video codec. The simulation results show that our proposed schemes can significantly improve the reconstructed video quality under the same network conditions.