ZF/MMSE and OSIC Detectors for UpLink OFDM Massive MIMO systems

被引：8
|
作者：
Riadi, Abdelhamid [1 ]
Boulouird, Mohamed [2 ,3 ]
Hassani, Moha M'Rabet [2 ]
机构：
[1] Cadi Ayyad Univ, Fac Sci Semlalia, Instrumentat Signals & Phys Syst I2SP Grp, Marrakech, Morocco
[2] Cadi Ayyad Univ, Fac Sci Semlalia, Grp I2SP, Marrakech, Morocco
[3] Cadi Ayyad Univ, Natl Sch Appl Sci Marrakesh ENSA M, Marrakech, Morocco
来源：
2019 IEEE JORDAN INTERNATIONAL JOINT CONFERENCE ON ELECTRICAL ENGINEERING AND INFORMATION TECHNOLOGY (JEEIT) | 2019年
关键词：
Massive MIMO; OFDM; Channel Estimation; MMSE detector; ZF detector; OSIC detector;
D O I：
10.1109/JEEIT.2019.8717380
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A Least Squares Channel Estimation (LSCE) method is designated for a Massive MIMO system combined with Orthogonal Frequency Division Multiplexing (OFDM). The Mean Square Error (MSE) of LSCE is computed firstly in a Rayleigh fading channel. Secondly, if channel estimation was available at the receiver (Base Station), the data detection could be made by linear and nonlinear detectors i.e (ZF, MMSE) and (SNR-Based Ordering, OSIC-SINR-Based Ordering) respectively. Simulation results show that by increasing antennas number of Base Station (BS), the nonlinear detectors perform more in terms of Bit Error Rate (BER).
引用
收藏
页码：767 / 772
页数：6
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