基于张量器的合作MIMO通信系统的概述-第1部分:张量器建模
Gérard Favier1, Danilo Sousa Rocha2
1I3S Laboratory, Côte d'Azur University, 06903 Sophia Antipolis, France.
Entropy (Basel, Switzerland)
|August 26, 2023
概括
本文回顾了基于张量器的多输入多输出 (MIMO) 合作通信系统,强调了未来第六代 (6G) 无线网络的张量器模型. 它探讨了信号处理中的张量应用,以提高无线性能和大数据分析.
科学领域:
- 无线通信系统无线通信系统
- 信号处理 信号处理
- 大数据分析大数据分析
背景情况:
- 合作无线通信系统对于满足学术和工业领域不断变化的性能需求至关重要.
- 未来的第六代 (6G) 无线系统在提高覆盖范围,数据速率,延迟,可靠性,移动连接和能源效率方面面临重大挑战.
- 新兴技术如大规模的MIMO,IRS,无人机辅助通信,DP天线阵列,3D极化通道建模和mmW通信正在塑造未来的无线网络.
研究的目的:
- 提供基于张数的MIMO合作通信系统的全面概述.
- 探索张量在数字通信和大数据处理的信号处理中的应用.
- 为了对合作系统进行分类,并为双跳系统提供张量模型.
主要方法:
- 复习基本的张量运算和分解.
- 基于关键特征和架构的合作系统的分类.
- 介绍和分析双跳合作系统的张量模型.
主要成果:
- 在过去的二十年中,张量器在信号处理和数字通信中得到了广泛的应用.
- 为双跳合作系统提出了不同的张量模型,为其结构和功能提供了洞察力.
- 该审查涵盖了合作系统的基本方面,包括它们的分类和共同编码方案.
结论:
- 基于张数的方法为分析和开发先进的合作无线通信系统提供了强大的框架.
- 提出的张量模型为未来的研究奠定了基础,特别是开发用于符号和通道估计的半盲接收器.
- 这项工作为MIMO合作系统中的张量应用提供了基础的理解,与6G及以后相关.
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