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Investigation on Key Technologies in Large-Scale MIMO

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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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Authors and Affiliations

  1. Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, 100084, China

    Xin Su (Member, IEEE), Jie Zeng (Member, IEEE) & Li-Ping Rong

  2. College of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China

    Li-Ping Rong & Yu-Jun Kuang (Member, IEEE)

Authors
  1. Xin Su
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  2. Jie Zeng
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  3. Li-Ping Rong
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  4. Yu-Jun Kuang
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Corresponding author

Correspondence to Jie Zeng.

Additional information

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).

The preliminary version of the paper was published in the Proceedings of CHINACOM 2012.

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Su, X., Zeng, J., Rong, LP. et al. Investigation on Key Technologies in Large-Scale MIMO. J. Comput. Sci. Technol. 28, 412–419 (2013). https://doi.org/10.1007/s11390-013-1342-4

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  • DOI: https://doi.org/10.1007/s11390-013-1342-4

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