实现高效、可靠、安全的多用户通信的新型非正交传输方案

Jehad M. Hamamreh, Mohamedou Abewa, J. P. Lemayian
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引用次数: 5

摘要

下一代无线通信模式要求具有高可靠性、低功耗和增强的安全性等特性。此外,对更好的无线服务的不断增长的需求导致了各种无线网络的不断改进和出现,如5G及以后的网络。预计超5G通信系统(即6G)将利用人工智能、超密集小蜂窝、可重构天线、分布式网络、多频段和全双工通信以及新型非正交多址接入方法等技术。在这项工作中,我们首先回顾和回顾了文献中现有的各种非正交多址(NOMA)技术,以及学术界和工业界提出的技术。然后,讨论了它们在不同应用领域的优缺点。为了解决现有NOMA方案的局限性,我们开发并提出了新的NOMA通信范式,旨在通过叠加辅助信号和预编码矩阵方法实现高效、可靠和安全的多用户通信。新提出的NOMA系统是由当前基于NOMA的系统所面临的许多限制所驱动的。例如,功率域NOMA没有作为工作项包含在3GPP的第17版中。这是由于连续干扰抵消(SIC)和信道估计误差导致的性能下降。通过数学分析和蒙特卡罗仿真验证了所提模型的有效性和新颖性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New Non-Orthogonal Transmission Schemes for Achieving Highly Efficient, Reliable, and Secure Multi-User Communications
Next-generation wireless communication paradigms demand poperties such as high reliability, low power consumption, and enhanced security. Also, the ever-increasing demand for better wireless services has led to the continuous improvement and emergence of various wireless networks such as 5G and beyond networks. Beyond 5G communication systems (i.e., 6G) are envisioned to utilize technologies such as artificial intelligence, ultra-dense small cells, reconfigurable antennas, distributed networks, multi-band and full-duplex communications, as well as novel non-orthogonal multiple access methods. In this work, we first revisit and review the various current non-orthogonal multiple access (NOMA) techniques available in the literature and proposed by both academia and industry. Then, we discuss their strengths and weaknesses in different application areas. To address the limitations of the existing NOMA schemes, we develop and propose novel NOMA communication paradigms designed for achieving highly efficient, reliable, and secure multi-user communications using superimposed auxiliary signals and pre-coded matrices methods. The new proposed NOMA systems are motivated by the many limitations faced by current NOMA-based systems. For instance, power-domain NOMA is not included in release 17 of 3GPP as a work item. This is due to its performance degradation, resulting from successive interference cancellation (SIC) and channel estimation errors. The efficiency and novelty of the proposed models are presented via mathematical analysis and validated by Monte Carlo simulations.
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