5G-NR (New Radio) CSI Computation Algorithm and Performance

被引：0

作者：

Mondal, Bishwarup ^{[1
]}

Sergeev, Victor ^{[1
]}

Sengupta, Avik ^{[1
]}

Davydov, Alexei ^{[1
]}

机构：

[1] Intel Corp, Next Generat & Stand, Santa Clara, CA 95052 USA

来源：

2018 CONFERENCE RECORD OF 52ND ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS, AND COMPUTERS | 2018年

关键词：

3GPP; LTE; NR; CSI; feedback; MIMO;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

5G-NR specifications is release ready and it incorporates two types of channel state information (CSI) feedback procedures. A low resolution CSI feedback procedure targeting a highly efficient (low feedback overhead) SU-MIMO operation and a high resolution CSI feedback procedure targeting an optimized MU-MIMO operation (high feedback overhead). A precoder index ranges from 2-12 bits for low resolution CSI and to several hundred bits for high resolution CSI. In this paper, we propose low-complexity precoder search algorithms for both low and high resolution CSI. We also observe that the gains due to high-resolution CSI feedback is limited to channels with low to medium spatial correlation.

引用

页码：1068 / 1071

页数：4