A Compact Soft Symbol Estimation for Iterative MIMO Detection

被引：2

作者：

Chan, Satya ^{[1
]}

Zhang, Meixiang ^{[2
]}

Kim, Sooyoung ^{[1
]}

机构：

[1] Jeonbuk Natl Univ, IT Convergence Res Ctr, Div Elect Engn, Jeonju 54896, South Korea

[2] Yangzhou Univ, Sch Informat Engn, Yangzhou 225127, Jiangsu, Peoples R China

来源：

IEEE WIRELESS COMMUNICATIONS LETTERS | 2020年 / 9卷 / 10期

基金：

新加坡国家研究基金会;

关键词：

Transportation; Kernel; Containers; Logistics; Linear programming; Time factors; Routing; Iterative MIMO detection; soft MIMO detection; MMSE; soft symbol value;

D O I：

10.1109/LWC.2020.3004846

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Minimum mean squared error (MMSE)-based soft iterative detection schemes have been widely considered for coded multiple antenna systems due to their high performance gain with reasonable complexity. This letter presents compact universal equations to estimate soft symbol values for 2(K) -ary QAM and PSK schemes that can be applied to any MMSE-based iterative detection. The evaluation results investigated in this letter reveal that the proposed methods reduce the computational complexity by more than an order without degrading the performance.

引用

页码：1790 / 1794

页数：5

共 16 条

[1]

3GPP NR

[2]

Radio Access Network (RAN), 2019, NR PHYS CHANNELS MOD

[3] Efficient SIC-MMSE MIMO detection with three iterative loops [J].