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Recent advances and future challenges for massive MIMO channel measurements and models

大规模多输入多输出通信系统的信道测量与建模的最新进展及未来挑战

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  • Special Focus on 5G Wireless Communication Networks
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Abstract

The emerging fifth generation (5G) wireless communication system raises new requirements on spectral efficiency and energy efficiency. A massive multiple-input multiple-output (MIMO) system, equipped with tens or even hundreds of antennas, is capable of providing significant improvements to spectral efficiency, energy efficiency, and robustness of the system. For the design, performance evaluation, and optimization of massive MIMO wireless communication systems, realistic channel models are indispensable. This article provides an overview of the latest developments in massive MIMO channel measurements and models. Also, we compare channel characteristics of four latest massive MIMO channel models, such as receiver spatial correlation functions and channel capacities. In addition, future challenges and research directions for massive MIMO channel measurements and modeling are identified.

创新点

大规模多输入多输出通信技术以其在提高频谱效率和能量效率方面的优越性,成为日前最受关注的5G关键技术之一。为了更好地设计、评价和优化大规模多输入多输出无线通信系统,一个贴合实际的信道模型是必不可少的。本文详尽地介绍了大规模多输入多输出通信系统的信道测量与建模的最新进展、未来挑战及研究方向,同时比较了四种最新的大规模多输入多输出信道模型的信道特性,比如接收端空间相关函数和信道容量。

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Authors and Affiliations

  1. School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, EH14 4AS, UK

    Cheng-Xiang Wang & Shangbin Wu

  2. Shandong Provincial Key Laboratory of Wireless Communication Technologies, Shandong University, Jinan, 250100, China

    Cheng-Xiang Wang & Lu Bai

  3. National Mobile Communications Laboratory, Southeast University, Nanjing, 211189, China

    Xiaohu You

  4. Department of Electronic Engineering, Tsinghua University, Beijing, 100084, China

    Jing Wang

  5. China Mobile Research Institute, Beijing, 100053, China

    Chih-Lin I

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  1. Cheng-Xiang Wang
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Correspondence to Cheng-Xiang Wang.

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Wang, CX., Wu, S., Bai, L. et al. Recent advances and future challenges for massive MIMO channel measurements and models. Sci. China Inf. Sci. 59, 1–16 (2016). https://doi.org/10.1007/s11432-015-5517-1

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