Collaborative: Quantizing Wireless Channels

协作：量化无线通道

• 批准号: 0514194
• 负责人: Robert Heath
• 金额: $ 21.47万
• 依托单位: University of Texas at Austin
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-07-15 至 2009-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0514194&HistoricalAwards=false
• 关键词: Collaborative; Quantizing; Wireless; Channels

Mobile wireless communication is becoming the enabler of Internet access. Unfortunately, mobile networks are not equipped to provide the high-speed access that Internet users expect due to fundamental problems associated with wireless communication: scarce bandwidth and poor quality. To overcome these problems, this research develops a family of algorithms that allow the transmitter to respond to changes in the propagation channel. The major innovation in this work is the development of new methods for compressing information about the propagation channel. This information is sent from the receiver back to the transmitter to help the transmitter adjust the transmitted signal. The approach to this research is to develop a framework for source coding with a new source: the wireless channel. This differs from traditional source coding in that the objective is to improve communication theoretic system performance as opposed to improving the fidelity of the reconstruction. The objectives of the research are to determine what channel state information should be quantized; develop algorithms for quantizing the essential parameters of the channel; derive suitable communication theoretic notions of fidelity of the quantization such as mutual information and bit error rate; characterize the tradeoff between feedback rate and network performance; and confront practical issues introduced by estimation error, errors and delay in the feedback channel, and implementation constraints.The broader impacts of the work are expected in diverse areas including research in the form of new algorithms, theoretical results, and insights; industry through mobile network applications developed by industry partners; and education through better trained engineers, research experiences for minority students, mentoring, and enhanced learning worldwide thanks to publicly available courseware.

移动无线通信已成为Internet访问的推动者。不幸的是，由于与无线通信相关的基本问题，移动网络没有能力提供互联网用户期望的高速访问：稀缺的带宽和质量差。为了克服这些问题，这项研究开发了算法系列，使发射器可以响应传播渠道的变化。这项工作的主要创新是开发用于压缩传播渠道信息的新方法。此信息从接收器发送回发射器，以帮助发射器调整发射信号。这项研究的方法是开发一个用新来源：无线渠道进行源编码的框架。这与传统的源编码不同，因为目的是改善沟通理论系统的性能，而不是改善重建的忠诚度。研究的目标是确定应量化哪些渠道状态信息；开发用于量化通道基本参数的算法；得出量化的保真度的适当交流理论概念，例如相互信息和位错误率；表征反馈率和网络性能之间的权衡；并面对估计错误，反馈渠道中的错误和延迟以及实施约束所引入的实际问题。在包括新算法，理论结果和见解的形式的不同领域，包括研究的更广泛影响。通过行业合作伙伴开发的移动网络应用程序的行业；通过培训培训的工程师，少数族裔学生的研究经验，通过公开的课程来进行教育，指导和增强学习。