Adaptive source rate control for real-time wireless video transmission

被引:20
|
作者
Liu H. [1 ,2 ,3 ,4 ,5 ]
El Zarki M. [1 ,5 ,6 ,7 ,8 ,9 ,10 ,11 ,12 ,13 ]
机构
[1] Video Proc. and Telecom. Laboratory, Department of Electrical Engineering, University of Pennsylvania, Philadelphia
[2] NEC USA, Inc., C and C Research Lab., Princeton, NJ 08540
[3] University of New Orleans, New Orleans, LA
[4] Department of Electrical Engineering, University of Pennsylvania
[5] Columbia University, New York, NY
[6] Dept. of Telecommunication Networks, Faculty of Electrical Engineering, Delft University of Technology, Delft
[7] ACM, IEEE, Sigma Xi
关键词
Video Transmission; Source Rate; Quantization Scale; Frame Error Rate; Cyclic Redundancy Check;
D O I
10.1023/A:1019108328296
中图分类号
学科分类号
摘要
Hybrid ARQ schemes can yield much better throughput and reliability than static FEC schemes for the transmission of data over time-varying wireless channels. However these schemes result in extra delay. They adapt to the varying channel conditions by retransmitting erroneous packets, this causes variable effective data rates for current PCS networks because the channel bandwidth is constant. Hybrid ARQ schemes are currently being proposed as the error control schemes for real-time video transmission. An important issue is how to ensure low delay while taking advantage of the high throughput and reliability that these schemes provide for. In this paper we propose an adaptive source rate control (ASRC) scheme which can work together with the hybrid ARQ error control schemes to achieve efficient transmission of real-time video with low delay and high reliability. The ASRC scheme adjusts the source rate based on the channel conditions, the transport buffer occupancy and the delay constraints. It achieves good video quality by dynamically changing both the number of the forced update (intracoded) macroblocks and the quantization scale used in a frame. The number of the forced update macroblocks used in a frame is first adjusted according to the allocated source rate. This reduces the fluctuation of the quantization scale with the change in the channel conditions during encoding so that the uniformity of the video quality is improved. The simulation results show that the proposed ASRC scheme performs very well for both slow fading and fast fading channels.
引用
收藏
页码:49 / 60
页数:11
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