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Investigation on Key Technologies in Large-Scale MIMO

被引：4
|
作者：
粟欣 [1 ]
曾捷 [1 ]
容丽萍 [1 ,2 ]
邝育军 [2 ]
机构：
[1] Tsinghua National Laboratory for Information Science and Technology, Tsinghua University
[2] College of Communication and Information Engineering, University of Electronic Science and Technology of China
来源：
Journal of Computer Science & Technology | 2013年 / 28卷 / 03期
基金：
北京市自然科学基金;
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：
TN919.3 [数据传输技术];
学科分类号：
0810 ; 081001 ;
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：8
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