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

• Special Section on Recent Advances in Mobile Computing and Networking • Previous Articles     Next Articles

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).

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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