Analysis of Linear Precoding Techniques for Massive MIMO-OFDM Systems under various scenarios

Emerging 5G technology is largely supported by the base station signal processing techniques such as precoding. Precoding combines the input signals in a predefined way and deliver them in a right proportion to the multiple antenna elements. Such precoding algorithms are crucial for the design of th...

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Bibliographic Details
Published in:IOP conference series. Materials Science and Engineering 2021-03, Vol.1084 (1), p.12053
Main Authors: Subitha, D., Vani, R.
Format: Article
Language:English
Subjects:
Algorithms
Antennas
Bit error rate
Error analysis
MIMO communication
Orthogonal Frequency Division Multiplexing
Signal processing
Subcarriers
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Summary:Emerging 5G technology is largely supported by the base station signal processing techniques such as precoding. Precoding combines the input signals in a predefined way and deliver them in a right proportion to the multiple antenna elements. Such precoding algorithms are crucial for the design of the emerging 5G technology; massive MIMO system. In this paper, the performance of various linear precoding algorithms such as Zero Forcing (ZF), Minimum Mean Square Error (MMSE) and Conjugate Gradient (CG) based precoding are analyzed in terms of Bit Error Rate (BER) and achievable sum-rate. The results are analyzed under various channel conditions such as rural, sub urban and urban. The above algorithms are tested for MIMO-OFDM system. OFDM system simulated here uses 52 subcarriers and a Base Station equipped with more than 100 antennas serving multiple users simultaneously. The channel models are stochastic channels simulated using WINNER II modeling.
ISSN:1757-8981
1757-899X
DOI:10.1088/1757-899X/1084/1/012053