A Novel Adaptive Hybrid Truncation Precoding Strategy in Massive MIMO

被引：5

作者：

Cheng, Tongtong ^{[1
]}

He, Yigang ^{[1
]}

Shi, Luqiang ^{[1
]}

Wu, Yuting ^{[1
]}

Huang, Yuan ^{[1
]}

Sui, Yongbo ^{[1
]}

机构：

[1] Hefei Univ Technol, Sch Elect & Automat Engn, Hefei 230009, Anhui, Peoples R China

来源：

IEEE COMMUNICATIONS LETTERS | 2018年 / 22卷 / 11期

基金：

中国国家自然科学基金;

关键词：

Multiple-input multiple-output (MIMO); multi-user MIMO (MU-MIMO); zero forcing (ZF) precoding; matched filter (MF) precoding; massiNe MIMO; SNR estimate;

D O I：

10.1109/LCOMM.2018.2869153

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

The adaptive precoding technology is low-complexity precoding strategy based on a signal-tonoise-ratio (SNR) in wireless communication. Such technique requires an accurate estimation of the SNR at the receiver, so that the transmitter can change the communication precoding method based on the value of the SNR. In order to reduce the computational complexity of the precoding, a new strategy can optimize the complexity of precoding through SNR when the number of antennas is large. The truncation algorithm is used to optimize the precoding strategy. This strategy selects a particular precoding under different SNR values.

引用

页码：2298 / 2301

页数：4

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