›› 2013,Vol. 28 ›› Issue (3): 412-419.doi: 10.1007/s11390-013-1342-4

• Special Section on Selected Paper from NPC 2011 • 上一篇    下一篇

大规模MIMO关键技术调研

Xin Su1 (粟欣), Member, IEEE, Jie Zeng1,* (曾捷), Member, IEEE, Li-Ping Rong1,2 (容丽萍) and Yu-Jun Kuang2 (邝育军), Member, IEEE   

  1. 1. Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing 100084, China;
    2. College of Communication and Information Engineering, University of Electronic Science and Technology of China Chengdu 611731, China
  • 收稿日期:2012-10-05 修回日期:2013-02-28 出版日期:2013-05-05 发布日期:2013-05-05
  • 作者简介:Xin Su received his M.S. degree in communications and electronic systems and Ph.D. degree in circuits and systems from the University of Electronic Science and Technology of China (UESTC) in 1996 and 1999 respectively. He is now with the School of Information Science and Technology at Tsinghua University and Tsinghua National Laboratory for Information Science and Technology (TNList), and is also the vice director of the Wireless and Mobile Communications Technology R&D Center of Tsinghua University, chairman of IMT-Advanced Technology Work Group in MIIT (Ministry of Industry and Information Technology of People's Republic of China) and vice chairman of the Innovative Wireless Technology Work Group of CCSA (China Communications Standards Association). His research interests include broadband wireless access, wireless and mobile network architecture, self organizing network, software defined radio, and cooperative communications. Dr. Su has published over 80 papers in the core journals and important conferences, applied for more than 40 patents and obtained more than 20 pieces of patent right.
  • 基金资助:

    This work was supported by the National Basic Research 973 Program of China under Grant No. 2012CB31600, the Beijing Natural Science Foundation under Grant No. 4110001, the National Science and Technology Major Project of China under Grant No. 2013ZX03003003, and Samsung Funded Project (The Research of Large-Scale MIMO).

Investigation on Key Technologies in Large-Scale MIMO

Xin Su1 (粟欣), Member, IEEE, Jie Zeng1,* (曾捷), Member, IEEE, Li-Ping Rong1,2 (容丽萍), and Yu-Jun Kuang2 (邝育军), Member, IEEE   

  1. 1. Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing 100084, China;
    2. College of Communication and Information Engineering, University of Electronic Science and Technology of China Chengdu 611731, China
  • Received:2012-10-05 Revised:2013-02-28 Online:2013-05-05 Published:2013-05-05
  • Contact: 10.1007/s11390-013-1342-4
  • Supported by:

    This work was supported by the National Basic Research 973 Program of China under Grant No. 2012CB31600, the Beijing Natural Science Foundation under Grant No. 4110001, the National Science and Technology Major Project of China under Grant No. 2013ZX03003003, and Samsung Funded Project (The Research of Large-Scale MIMO).

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与传统多输入多输出MIMO系统相比,大规模MIMO系统通过在基站端配备大量低功率天线,可以有效地提升频谱效率,提高链路可靠性,降低能量损耗。对于大规模MIMO系统,目前仍有许多技术问题亟待研究,比如理论方面的容量限值分析、信道估计、功率分配策略等,实际设计方面的导频设计、低功率传输设计等。本论文首先分析了大规模MIMO系统的和速率上界,然后对信道估计、下行预编码及上行检测等关键技术进行了深入研究。最后,在信道建模,用户调度等方面进行了展望,为大规模MIMO的发展提供了思路。

Abstract: Large-scale MIMO (multiple-input multiple-output) systems with numerous low-power antennas can provide better performance in terms of spectrum efficiency, power saving and link reliability than conventional MIMO. For large-scale MIMO, there are several technical issues that need to be practically addressed (e.g., pilot pattern design and low-power transmission design) and theoretically addressed (e.g., capacity bound, channel estimation, and power allocation strategies). In this paper, we analyze the sum rate upper bound of large-scale MIMO, investigate its key technologies including channel estimation, downlink precoding, and uplink detection. We also present some perspectives concerning new channel modeling approaches, advanced user scheduling algorithms, etc.

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