Wireless Channel Characterization with Implications on Coding and Throughput Optimization for Multiuser Systems

在本项目中，将建立灵活而稳健的移动无线信道模型，并将其用于分析联合检测和译码算法以及多用户无线系统的吞吐量优化。这项研究有三个密切相关的推动力。在第一部分中，将讨论多径衰落信道的估计、均衡和建模中的基本问题。我们将为快速时变的移动无线电信道选择准确的模型，并研究传播特性对估计信道系数的影响。将进行稳健的信道估计和自适应均衡技术的性能比较，同时考虑到由于错误传播而产生的问题。稳健的分集合并技术将被开发出来。其他两个方向将利用本项目第一部分中开发的信道建模和估计技术。采用差错控制编码的多用户系统的可靠的低复杂度检测方法将是第二个部分的重点。联合均衡、多用户检测和译码将考虑交织和差错传播的影响。在第三部分中，将评估实际无线扩频分组无线网络(PRN)多用户检测的吞吐量。在这项工作中，将利用准确的信道模型、可靠的联合检测和译码方法以及天线分集技术来优化吞吐量。在此优化中将考虑接收器复杂性、编码-扩展权衡和接入方案。这个

In this project, flexible and robust models for mobile radio channels will be created and used in the analysis of joint detection and decoding algorithms and for throughput optimization of multiuser wireless systems. The research has three closely related thrusts. In the first component, fundamental issues in estimation, equalization and modeling of multipath fading channels will be addressed. Accurate models will be selected for rapidly time-varying mobile radio channels, and the impact of the nature of propagation on estimating channel coefficients will be investigated. A performance comparison of robust channel estimation and adaptive equalization techniques will be carried out, taking into account issues arising due to error propagation. Robust diversity combining techniques will be developed. The other two directions will utilize channel modeling and estimation techniques developed in the first component of this project. Reliable low complexity detection methods for multiuser systems with error control coding will be the focus of the second component. Joint equalization, multiuser detection, and decoding will be addressed taking into account the effects of interleaving and error propagation. In the third component, the throughput of realistic wireless spread spectrum packet radio networks (PRNs) with multiuser detection will be evaluated. In this work, accurate channel models, reliable joint detection and decoding methods, and antenna diversity techniques will be utilized to optimize the throughput. Receiver complexity, the coding-spreading trade-off, and access schemes will be considered in this optimization. The