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arXiv 1808.08786eess.SP
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用于5G新无线移动通信的透明收发波形处理

Transparent Tx and Rx Waveform Processing for 5G New Radio Mobile Communications

Toni Levanen, Juho Pirskanen, Kari Pajukoski, Markku Renfors, Mikko Valkama

摘要:

已经针对5G新无线电(NR)物理层研究并提出了几种不同的波形处理技术,以支持新的混合参数集和异步服务。这些不同技术的评估和比较通常基于发射器和接收器单元中的匹配波形处理。在这篇文章中,它表明,不同的技术可以灵活地混合,允许单独优化发射机和接收机实现的复杂性和性能的权衡。通过为发射机和接收机基带处理设置足够的要求,允许透明设计,不同波形处理技术的混合是可能的。如何发射机和接收机单元可以独立地应用和透明设计的背景下进行评估的基本框架和可实现的无线电链路性能与不匹配的发射机和接收机波形处理的一组广泛的例子提供。所讨论的方法和解决方案简化了标准化,改善了透明的发射机和接收机共存,并允许在5G NR物理层硬件和算法设计中实现面向未来的性能改进的演进路径。

英文摘要:

Several different waveform processing techniques have been studied and proposed for the 5G new radio (NR) physical layer, to support new mixed numerology and asynchronous services. The evaluation and comparison of these different techniques is commonly based on matched waveform processing in the transmitter and receiver units. In this article, it is shown that different techniques can be flexibly mixed, allowing to separately optimize complexity-performance trade-offs for transmitter and receiver implementations. Mixing of different waveform processing techniques is possible by setting adequate requirements for transmitter and receiver baseband processing allowing transparent design. The basic framework of how transmitter and receiver units can be independently applied and evaluated in the context of transparent design and an extensive set of examples of the achievable radio link performance with unmatched transmitter and receiver waveform processing are provided. The discussed approach and solutions simplify standardization, improve transparent transmitter and receiver coexistence, and allow future-proof evolution path for performance improvements in 5G NR physical layer hardware and algorithm design.

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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