Utility Function Selection for Streaming Videos with a Cognitive Engine Testbed
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- 作者：Youping Zhao ; Shiwen Mao ; Jeffrey H. Reed and Yingsong Huang
- 关键词：802.22 wireless regional area network (WRAN) ; cognitive engine ; cognitive radio ; cross ; layer optimization ; radio resource allocation ; utility function ; video streaming
- 刊名：Mobile Networks and Applications
- 出版时间：June, 2010
- 出版年：2010
- 期刊代码：113_1383-469X
- 类别：en
- 卷：15
- 期：3
- 页码：446-460
- 数据来源：sp
摘要
Cognitive Radio (CR) is a new wireless communication and networking paradigm that is enabled by the Software Defined Radio (SDR) technology and the recent change in spectrum regulation policy. As the first commercial application of CR technology, IEEE 802.22 wireless regional area networks (WRAN) aim to offer broadband wireless access by efficiently utilizing the unoccupied TV channels. In this paper, we investigate the problem of utility function selection and its impact on streaming video quality through an IEEE 802.22 WRAN base station (BS) cognitive engine (CE) testbed developed at Wireless@Virginia Tech. We find that significant improvement on received video quality can be achieved when CE adopts a dynamic, content-aware, video-specific utility function rather than a static, predefined, general purpose utility function. This work indicates the importance of video distortion modeling and cross-layer design, and the need for employing dynamic content-aware utility functions at the CE for cognitive streaming video communication networks.