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Effective quality of service (QoS) management is essential to the smooth running of wireless networks and to guarantee peak performance. This study suggests a unique method for enhancing QoS in wireless networks that combines fuzzy logic with iterative weighted least squares (IWLS). Performance of the system is anticipated to be improved by dynamically modifying system settings depending on network input. When handling the uncertainties and imprecisions present in wireless contexts, fuzzy logic is used, allowing for adaptive decision-making depending on the state of the network. By adding network input, IWLS is also used to repeatedly adjust system parameters. To further improve QoS performance, an adaptive neural fuzzy iterative weighted least squares (ANFIWLS) method is presented. Fuzzy logic, neural networks, and IWLS work together to provide more precise inference and decision-making skills …