arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2009.09459eess.SP
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智能反射面在多天线非正交多址接入中起什么作用?

What Role Do Intelligent Reflecting Surfaces Play in Multi-Antenna Non-Orthogonal Multiple Access?

Arthur S. de Sena, Dick Carrillo, Fang Fang, Pedro H. J. Nardelli, Daniel B. da Costa, Ugo S. Dias, Zhiguo Ding, Constantinos B. Papadias, Walid Saad

摘要:

大规模多输入多输出(MIMO)和非正交多址接入(NOMA)是实现未来无线网络中的大规模连接的两种关键技术。大规模多输入多输出-NOMA系统可以提供显著的频谱改善和低通信延迟。然而,无线信道的不可控随机行为仍然会降低其性能。在这种背景下,智能反射表面(IRS)已经出现作为一个有前途的技术,巧妙地克服无线环境的有害影响。通过软件控制传播信道的破坏性IRS概念可以为通信网络提供有吸引力的性能增益,包括更高的数据速率、改进的用户公平性以及可能的更高的能量效率。在这篇文章中,在现有的文献相比,我们证明了在MIMO-NOMA系统中的IRS的主要作用。具体来说,我们确定并执行一个全面的讨论,可以实现在IRS辅助的大规模多输入多输出-NOMA(IRS-NOMA)网络的主要性能增益。我们概述了IRS-NOMA令人兴奋的未来用例场景,并揭示了主要的相关挑战和未来的研究方向。此外,在整篇文章中,我们用代表性的数值结果支持我们的深入讨论。

英文摘要:

Massive multiple-input multiple-output (MIMO) and non-orthogonal multiple access (NOMA) are two key techniques for enabling massive connectivity in future wireless networks. A massive MIMO-NOMA system can deliver remarkable spectral improvements and low communication latency. Nevertheless, the uncontrollable stochastic behavior of the wireless channels can still degrade its performance. In this context, intelligent reflecting surface (IRS) has arisen as a promising technology for smartly overcoming the harmful effects of the wireless environment. The disruptive IRS concept of controlling the propagation channels via software can provide attractive performance gains to the communication networks, including higher data rates, improved user fairness, and, possibly, higher energy efficiency. In this article, in contrast to the existing literature, we demonstrate the main roles of IRSs in MIMO-NOMA systems. Specifically, we identify and perform a comprehensive discussion of the main performance gains that can be achieved in IRS-assisted massive MIMO-NOMA (IRS-NOMA) networks. We outline exciting futuristic use case scenarios for IRS-NOMA and expose the main related challenges and future research directions. Furthermore, throughout the article, we support our in-depth discussions with representative numerical results.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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