面向多数据流和弹性数据服务的NOMA中继网络优化研究

Non-orthogonal multiple access (NOMA) provides an efficient time-frequency resource sharing method, which can effectively cope with the high throughput and mass connection requirements of the next generation wireless communication. The integration of NOMA technology and relay technology can further improve the reliability and throughput of the network. At present, the NOMA relay network's single data stream transmission characteristics limit the improvement of network throughput. NOMA relay network's multi-data stream transmission and NOMA multi-stream relay network's multi-dimensional network resource joint optimization design are the core research topics to break through the performance bottleneck of NOMA relay network and provide satisfactory user service. In order to make efficient use of wireless network resources, this project intends to explore the efficient utilization mechanism of multi-dimensional network resources oriented to multi-data flow and elastic data service and build an optimization model by fully mining the spectrum sharing performance of NOMA multi-antenna relay network. Based on the optimization model and the convex optimization theory and the data-driven theory, the optimal joint optimization design scheme of multi-dimensional network resource allocation and the low-complexity sub-optimal joint optimization design scheme are proposed, and the robustness of the scheme is considered. This project is a frontier new topic in the field of wireless network. The research results will provide a valuable reference scheme for the reliable and efficient coverage of the next generation wireless network, which has high academic value and great application value.

非正交多址接入（NOMA）提供高效的时频资源共享方法，能有效应对下一代无线通信的高吞吐量、海量连接需求。NOMA技术与中继技术的融合能进一步提高网络的可靠性和吞吐量。目前NOMA中继网络的单数据流传输特性使得网络吞吐量提高受限，NOMA中继网络的多数据流传输以及面向多流NOMA中继网络的多维网络资源联合优化设计是突破NOMA中继网络性能瓶颈提供满意用户服务的核心研究课题。为了高效利用无线网络资源，本项目拟通过充分挖掘多天线NOMA中继网络的频谱共享性能，探索面向多数据流和弹性数据服务的多维网络资源高效利用机理并搭建优化模型。基于优化模型，利用凸优化理论和数据驱动理论，提出多维网络资源分配最优联合优化设计方案和低复杂度次优方案，并考虑方案的鲁棒性。本项目属于无线网络领域前沿性的新课题，研究结果将为下一代无线网络的可靠高效覆盖提供有价值的参考方案，具有较高的学术价值和较大的应用价值。

本项目旨在提供高效的时频资源共享方法，以有效应对下一代无线通信的高吞吐量、海量连接需求。我们建立了服务资源型-目标函数衡量功率、信道和中继等多维网络资源利用效能。在多流 NOMA 单中继网络中，建立了源端和中继端的基于多流波束成形联合优化问题和鲁棒优化问题，开发了最优多流波束成形联合优化方案、低复杂度次优联合优化方案和鲁棒联合优化方案。在多流NOMA多中继网络中，建立了基于中继选择和多流波束成形的联合优化问题和鲁棒优化问题，开发了基于机器学习的低复杂度次优联合优化方案及鲁棒方案。本项目在项目执行期间取得了一系列创新研究成果。三年来，申请人在本项目的支持下已完成高质量国内外论文18篇， 其中SCI论文13篇；申请发明专利10项，其中5项已获得授权，已授权专利中3项与企业对接进行了专利转化；培养依托项目研究生4名。