Low-complexity Iterative Detector for Massive MIMO Systems

被引：0
|
作者：
Bakulin, Mikhail [1 ]
Ben Rejeb, Taoufik [1 ]
Kreyndelin, Vitaly [1 ]
Smirnov, Alexey [1 ]
机构：
[1] Moscow Tech Univ Commun & Informat MTUCI, Moscow, Russia
来源：
PROCEEDINGS OF THE 28TH CONFERENCE OF OPEN INNOVATIONS ASSOCIATION FRUCT | 2021年
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中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Application of Multiple-input Multiple-output (MIMO) technology provides high data rates in modern standards of wireless communication. MIMO technology is characterized by the use of dozens of antennas on the transmitting and receiving sides, or even hundreds of antennas for the so-called massive MIMO technology. Massive MIMO is often considered as a key technology for 5G New Radio (NR). However, due to the increase in the number of antennas on the receiving and transmitting sides, the computational complexity of signal processing on the receiving side also increases. We suggest a new algorithm for signal detection for massive MIMO systems with lower computational complexity than the known Minimum Mean Square Error (MMSE) equalizer.
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页码：22 / 27
页数：6
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