CIF: Small: Challenges and opportunities of timing mismatch in multi-user wireless networks

无线通信的巨大发展提高了生活质量，促进了经济增长，并促进了新业务的发展。与此同时，新的机遇创造了对更高传输数据速率的巨大需求，并需要设计更高效的无线通信网络。了解如何处理通信网络中的时序失配和不完善的信道信息对于设计未来的无线网络至关重要。最近，干扰管理技术极大地提高了可靠性和带宽利用率。这些改进是在完美的信道知识和完美的同步等理想假设下实现的。在这个项目中，pi将重新审视完美信道信息的可用性，更重要的是多用户无线网络中完美同步的假设。本项目从采样分集的角度分析时序失配对多用户无线网络性能的影响，旨在探讨时序失配存在时的好处。这将导致最优时序失配值和相应的最优时序延迟的理论推导，然后在一套全面的信道模型下，从时序失配中受益并接近理论性能界限的通信系统的实际设计。

The tremendous expansion of wireless communications has improved the quality of life, provided economical growth, and assisted the expansion of new businesses. At the same time, the new opportunities have created a huge demand for higher transmission data rates and a need for designing more efficient wireless communication networks. Understanding how to deal with timing mismatch and imperfect channel information in communication networks is essential for designing the wireless networks of the future.Recently, interference management techniques have provided enormous improvements in reliability and bandwidth utilization. These improvements are achieved under ideal assumptions such as perfect channel knowledge and perfect synchronization. In this project, the PIs will revisit the availability of perfect channel information and more importantly the assumption of perfect synchronization in multi-user wireless networks. This project analyzes the effects of timing mismatch on the performance of multi-user wireless networks, from the viewpoint of sampling diversity, with the aim to explore its benefits in the presence of timing mismatch. This will lead to a theoretical derivation of optimal timing mismatch values and the corresponding optimal timing delays, followed by the practical design of communication systems that benefit from timing mismatch and approach the theoretical performance bounds, under a comprehensive set of channel models.