Bandwidth estimation in network probing techniques plays a crucial role in modern networks, particularly in ensuring superior Quality of Service (QoS). This is largely influenced by advancements in IEEE 802.11 standards, which aim to enhance service performance. Existing methodologies are designed to assess the available resources on a given channel, providing valuable support for bandwidth-constrained applications. However, these methods encounter limitations due to potential non-linearities within networks. The current approach leverages min-plus algebra from network calculus, which, although effective, falls short in certain dynamic scenarios. In this research, we propose a novel methodology for bandwidth estimation by integrating other state-of-the-art QoS protocols while maintaining the foundational principles of the min-plus algebra technique. This approach aims to develop a more versatile and adaptable system, better suited for complex network environments.