Abstract—Precoder design for Massive Multiple-Input Multiple-Output (MIMO) systems is very important for improving efficiency and reliability. Computing the optimal precoder is a challenging task and many optimizations theory-assisted algorithms have been evolved to achieve the optimality. In general, achieving optimal performance is at the cost of complexity whereas heuristic beamforming is a technique that exploits the transmission scenario in its favor to simplify the problem. Here, we investigate the performance of linear precoders obtained by various heuristic techniques with the selection of parameters judicially. The existing heuristic algorithms such as Zero Forcing (ZF), Matched Filter (MF), and Minimum Mean Square Error (MMSE) are compared with the proposed heuristic algorithm. The Bit Error Rate (BER) performance in Urban Micro cell scenario for 128 × 4 and 64 × 4 massive MIMO System was simulated using WINNER II modelling with the above precoding algorithms. The experimental results on the above modelling has proven that the proposed heuristic approach performs better for larger antennas.