In industrial wireless scenarios, the im-pulsive noise (IN) incurred by machine running or operation causes a serious influence on the power-limited industrial wireless communications. It is chal-lenging to ensure efficient and reliable transmission with quality of service (QoS) guarantee for machine-type communication devices (MTCDs). Consider-ing the IN in the industrial process, this paper es-tablishes the multiuser multiple-input single-output (MU-MISO) orthogonal frequency division multiplex-ing (OFDM) system model, which combines trans-mitter and receiver design. Two precoding schemes are designed to improve communication effectiveness at the transmitter. More specifically, the precoder design scheme which combines semi-definite relax-ation (SDR) with difference-of-two-convex-function (D.C.) iterative algorithm, is developed by utilizing the Dinkelbach method to improve the system effec-tiveness. To decrease the computational complexity, we devise the quadratic-based fractional programming (QFP) algorithm, which decouples the variables by us-ing a quadratic transform method. On this basis, the IN mitigation scheme is studied to reduce the system error rate (SER) at the receiver. With the goal of im-proving the reliability of industrial wireless commu-nications, we propose a hybrid nonlinear IN mitiga-tion (HNINM) scheme and then derive its closed-form expression of SER. The simulation results show that the proposed QFP algorithm achieves superior perfor-mance while the HNINM scheme decreases the SER of industrial wireless communications.