This paper presents a study on a 5G communication system using Quadrature Phase Shift Keying (QPSK) modulation, focusing on the effects of impulsive noise based on the Bernoulli distribution, and the impact of applying a Finite Impulse Response (FIR) Low-Pass Filter (LPF) on the system's performance. The main goal is to analyze the system's resilience to impulsive noise and assess the effectiveness of the FIR LPF in reducing its negative effects while maintaining overall communication quality. The LPF used in this study is a complex Finite Impulse Response (FIR) filter with a predetermined order ($\mathrm{N}=100$) and cutoff frequency. The LPF considers various factors to effectively reduce the impact of impulsive noise on the communication system. The proposed approach is evaluated under Additive White Gaussian Noise (AWGN) with and without impulsive noise, as well as Rayleigh fading channel conditions, using key performance metrics such as Bit Error Rate (BER), Symbol Error Rate (SER), and Error Vector Magnitude (EVM). The results show that the QPSK modulation is reliable in the presence of impulsive noise and that the LPF effectively recovers its harmful effects. The performance with and without impulsive noise is evaluated to demonstrate the robustness of the proposed LPF approach.