快时变信道环境下的统计谱域信息传输理论研究

Exploring new degrees of freedom in information transmission is vital to alleviate the capacity bottleneck of modern wireless communications. Motivated by such a demand, this project aims to develop a fast time-varying channel oriented statistic domain transmission technique, which is based on the separable property of wireless signals’ deterministic and statistical characteristics. As such, the capacity of the communication systems can be enhanced, the functionality of networks will be enriched, and the users experience will be improved. Based on all these benefits above, this project can provide a feasible technical scenario for the diversified future communication ecosystem. In order to achieve such a goal, first of all, we will delve the inner theory and the outside theoretical relationships on statistic domain transmission. The capacity bound for statistic domain under fast time-varying channels will be solved thereafter. In addition, confronted with the twisting effect of fast time-varying channels on the cyclostationary characteristics of wireless signals, we will explore the core nature of such a negative effect, and develop the dedicated mechanisms to support proposed technique working under various typical scenarios. Moreover, considering the problem of signal aliasing and interference between users in the statistical spectrum domain, we will design the exclusive aliasing suppression strategy based on the direction of interference avoidance. Our research will pave road for statistic domain transmission technique working in practical applications with its optimal performances.

新型信息传输维度的突破可以从根本上解决无线通信网络容量的瓶颈。面对这一重要需求，本项目将立足于无线信号确定性特征与统计特征的可分离特性，发展快时变信道环境下的统计谱域信息传输理论，从而提升通信系统的传输能力、丰富通信网络的功能、增强通信用户的服务体验，为多元化的未来无线通信系统提供可行的技术方案。首先，本项目将从理论角度揭示统计谱域信息传输的内在原理和外部联系，并解答相应信号在快时变信道环境下的理论容量极限。同时，面对快时变信道对无线信号循环平稳特征带来的扭曲作用，本项目将深入探索负面影响的核心本质，并针对性地发展一系列适应性机制，使统计谱域传输技术在各类典型场景下都能在保持检测性能的前提下最大化传输容量。另外，考虑到实际应用中统计谱域多用户间的信号混叠与干扰问题，本项目拟以干扰避免的方向为突破口，设计专属的干扰抑制策略，着力优化统计谱域传输技术的综合性能。

本项目立足于无线信号确定性特征与统计特征的可分离特性，发展快时变信道环境下的统计谱域信息传输理论，力求揭示新型信息维度传输的内在原理和外部联系。为多元化的未来无线通信系统提供可行的技术方案。面对快时变信道对无线信号循环平稳特征带来的扭曲作用，针对性地提出了信道状态触发型重传技术以及特征能量褪相提取与合并技术，力图增优化统计谱域信号传输理论在未来复杂通信场景的适应性。与此同时，针对统计谱域多用户之间的潜在的信号混叠与干扰问题，深入探索，并结合统计谱域信号自身的特点，构思了两种专属的干扰抑制策略，着力优化统计谱域传输技术的综合性能，使本项目的研究成果具有更广泛的推广和应用价值。