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.

移动的无线通信正在成为互联网接入的使能者。不幸的是，由于与无线通信相关联的基本问题：带宽不足和质量差，移动的网络没有配备成提供因特网用户期望的高速接入。为了克服这些问题，本研究开发了一系列算法，使发射机响应传播信道的变化。在这项工作中的主要创新是新方法的发展，用于压缩有关的传播信道的信息。该信息从接收机发送回发射机，以帮助发射机调整发射信号。这项研究的方法是开发一个新的信源编码框架：无线信道。这不同于传统的信源编码，因为其目的是提高通信理论系统的性能，而不是提高重建的保真度。研究的目标是确定什么信道状态信息应该被量化，开发量化信道基本参数的算法，推导出合适的量化保真度的通信理论概念，如互信息和误码率，描述反馈速率和网络性能之间的权衡，并给出一个信道状态信息的量化方法。并面临由估计误差、反馈信道中的误差和延迟以及实施约束引入的实际问题。预计这项工作将在不同领域产生更广泛的影响，包括以新算法形式进行的研究，理论成果和见解;行业通过行业合作伙伴开发的移动的网络应用程序;以及通过训练有素的工程师进行教育、为少数民族学生提供研究经验、指导以及通过公开的课件在全球范围内加强学习。