Massive Multiple Input Multiple Output (Massive MIMO) is one of the latest technologies, which has been developed to combat the major problems encountering wireless communications. Massive MIMO was developed to improve communication’s capacity, range, reliability, throughput, to overcome bandwidth limitations, and to combat fading. But the performance of a Massive MIMO system depends on the characteristics of the transmission and reception antennas but also on the channel where the signals propagate. Wireless channels suffer from interference and fading which causes errors and problem of efficiency. So to overcome this problem channel coding technique and precoder algorithms are proposed which reduce bit error occurring and increase the capacity of the system. Channel coding is a method to enhance the reliability of data transmission of Massive MIMO systems by reducing the Bit Error Rate (BER) of information. Wireless channels are exposed for interference and fading which causes performance degrade, so to over come this the transmitter adds additional information before the data is sent is called channel coding and precoding to alleviate interference. However, all channel coding techniques did not use large code word length so to solve this problem we proposed LDPC code which use large code word length. In addition to type of channel coding techniques ,code rates also has great impacts on the performance of Massive MIMO systems. Therefore, in this work with the objective of analysis of the performance of of LDPC coded Massive MIMO system by implementing different code rates with linear precoder algorithms. we analyzed performance of Massive MIMO system and we can achieve a BER of around 10 −6 . The tool which we used for analysis is MATLAB software. Key Words: LDPC Code, Linear Precoder, Massive MIMO,Sum Rate,