Investigation on Key Technologies in Large-Scale MIMO

被引:0
|
作者
Xin Su
Jie Zeng
Li-Ping Rong
Yu-Jun Kuang
机构
[1] Tsinghua University,Tsinghua National Laboratory for Information Science and Technology
[2] University of Electronic Science and Technology of China,College of Communication and Information Engineering
关键词
large-scale multiple-input multiple-output; channel estimation; downlink precoding; uplink detection;
D O I
暂无
中图分类号
学科分类号
摘要
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.
引用
收藏
页码:412 / 419
页数:7
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