MIMO Channel Capacity Enhancement Using PCA Data Reduction Methods with QPSK Modulation

Panem charan Arur, Deepak Chodankar, R. Gad
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Abstract

Modern wireless communication system capacity can be enhanced using modulation methods like QPSK/QAM, combination of multiple inputs multiple outputs (MIMO) channel, error correction codes and advanced multiplexing methods like Orthogonal Frequency Division Multiplexing (OFDM). Working on the similar goal, this paper proposed a methodology to enhance end to end performance of the system. The proposed method utilizes the Principal Component Analysis (PCA) for data reduction, MIMO channel combination with 4-PSK modulation having Low Density Parity Check (LDPC) error correction. The BER and RMSE is calculated for both the schemes and the performance of the system is evaluated with the different configuration of the 2x2,3x3,4x4 MIMO channel with and without LDPC. This paper demonstrated the sensor data reduction with PCA to transmit the extracted features of the data over MIMO AWGN channel over LDPC correction to regress the data at the receiver end. The performance of the system is studied for Bit Errors Rate over noisy channel and RMSE to confirm the signal regression.
采用QPSK调制的PCA数据约简方法增强MIMO信道容量
现代无线通信系统的容量可以通过QPSK/QAM等调制方法、多输入多输出(MIMO)信道组合、纠错码和正交频分复用(OFDM)等先进的多路复用方法来增强。基于类似的目标,本文提出了一种提高系统端到端性能的方法。该方法利用主成分分析(PCA)进行数据缩减,MIMO信道组合与4-PSK调制具有低密度奇偶校验(LDPC)纠错。计算了两种方案的误码率和RMSE,并对有和没有LDPC的2x2、3x3、4x4 MIMO信道的不同配置进行了系统性能评估。本文演示了用PCA对传感器数据进行约简,将提取的数据特征通过MIMO AWGN信道进行LDPC校正,在接收端对数据进行回归。研究了系统在噪声信道上的误码率和RMSE的性能,以验证信号的回归。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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