面向非理想CSI的智能反射面协同NOMA传输关键技术研究

智能反射面(IRS)由于能够响应实时控制、提升传输可靠性等优点备受关注。然而，IRS技术优势需高效的协同传输策略来保驾护航。特别是从“不同信道条件”出发，深入探索如何协同的重要性更加凸显。本项目考虑非理想信道状态信息(CSI)情况下，结合未来移动通信高频谱利用率低延迟等需求展开研究：研究IRS与非正交多址接入(NOMA)技术的融合，利用NOMA-IRS为多用户提供鲁棒高效通信；研究分布式NOMA-IRS协同策略，提升小区边缘用户通信质量；进一步考虑无CSI条件下，基于唯一分解理论设计IRS系统空时编码和最佳相移，满足快变信道和低延迟可靠通信需求。旨在通过上述研究，在有限信道估计资源和用户多样化传输要求前提下，构建一种高效波束成形/非相干空时编码、最佳相移于一体的新型IRS协同传输策略。本项目的研究成果将为实现IRS的实际应用提供理论依据和技术支持，推动其在未来移动通信中的实用化进程。

IRS (Intelligent Reflecting Surface) has attracted much attention due to its ability to respond to real-time control and enhance transmission reliability. However, the above advantages should be explored by an efficient cooperative transmission strategy. In particular, from the perspective of different channel conditions, it is more important to investigate how cooperation. This project mainly focuses on the study of the non-ideal channels situation and the need of high-spectral efficiency , low-latency communication in future communication. The research scope of the proposed project covers: (1).Design the cooperative transmission strategy in NOMA-IRS to provide robust and efficient transmission for multi-user; (2).Design the distributed NOMA-IRS cooperative strategy to improve the communication quality of cell-edge users in cellular system; (3).Furthermore, based on the unique factorization theory, the project design the incoherent space-time coding strategies and passive beamforming in IRS system to provide low-latency and reliable communication. The research aims at developing a novel transmission strategy (including efficient active beamforming, incoherent space-time code, and passive beamforming). The research results of this project will provide theoretical basis and technical solutions for IRS such as industrial internet of things, and further promote the application of IRS in the next generation mobile communication.