Video Coding for Cognitive Radio

认知无线电视频编码

• 批准号: 0635165
• 负责人: Pamela Cosman
• 金额: $ 23.21万
• 依托单位: University of California-San Diego
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-11-01 至 2010-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0635165&HistoricalAwards=false
• 关键词: Video; Coding; Cognitive; Radio

To achieve more efficient spectrum utilization, the FCC has been revisiting traditional license-based policies and moving toward the increased use of unlicensed, rule-based, strategies. In this scenario, attention is being given to cognitive radio, which uses spectrum on an opportunistic basis. The investigators study the design and performance evaluation of algorithms for the transmission of real-time video over cognitive radio channels. Since this technology involves sharing common spectrum, one key question is how much interference its deployment will impose upon the primary users' signals occupying the band. The investigation involves designing specific compression algorithms for video transmission over an opportunistically-used channel, and determining end-to-end performance in terms of video quality.The goal of a cognitive radio is to increase the spectral efficiency of allocated spectral bands by opportunistically making use of spectrum that is temporarily free of traffic. This is accomplished by sensing the channel, and adapting parameters of the transmit waveform such as modulation format, power, bandwidth, frequency location, and code rate. This research takes a cross layer approach, involving physical layer waveform design, receiver design, and channel state information, and application layer considerations, such as scalable video coding, multiple frame prediction, and end-to-end distortion measures.System components consume bandwidth and delay, and the research involves allocating a fixed bit budget and/or delay budget across layers. For example, a delay constraint necessitates tradeoffs between system components such as interleaver size and source encoder output buffer size. The main topics investigated are: (a) Adaptive receiver design and performance analysis for video transmission over cognitive radio mobile channels, (b) Optimal design of scalable video encoding for a cognitive radio environment, and (c) Optimal delay budget allocation.

为了实现更高效的频谱利用，FCC 一直在重新审视传统的基于许可的政策，并转向更多地使用未经许可、基于规则的策略。 在这种情况下，认知无线电受到关注，它在机会主义的基础上使用频谱。研究人员研究了通过认知无线电信道传输实时视频的算法的设计和性能评估。 由于这项技术涉及共享公共频谱，因此一个关键问题是该技术的部署会对占用该频段的主要用户信号造成多大干扰。 该研究涉及为机会性使用的信道上的视频传输设计特定的压缩算法，并确定视频质量方面的端到端性能。认知无线电的目标是通过机会性地利用暂时无流量的频谱来提高分配的频谱带的频谱效率。 这是通过感测信道并调整发射波形的参数（例如调制格式、功率、带宽、频率位置和码率）来实现的。 这项研究采用跨层方法，涉及物理层波形设计、接收机设计和信道状态信息，以及应用层考虑因素，例如可扩展视频编码、多帧预测和端到端失真测量。系统组件消耗带宽和延迟，研究涉及跨层分配固定的比特预算和/或延迟预算。 例如，延迟约束需要在系统组件（例如交织器大小和源编码器输出缓冲器大小）之间进行权衡。研究的主要主题是：（a）认知无线电移动信道上视频传输的自适应接收器设计和性能分析，（b）认知无线电环境可扩展视频编码的优化设计，以及（c）优化延迟预算分配。