Indoor Wi-Fi planning plays a crucial role in ensuring reliable and efficient wireless communication within buildings. With the increasing demand for high-performance wireless networks in various indoor environments such as office buildings, shopping malls, and hospitals, it becomes imperative to carefully design and optimize the deployment of Wi-Fi infrastructure. Effective indoor Wi-Fi planning involves considerations such as coverage area, signal strength, interference management, capacity allocation, and quality of service provisioning. By employing accurate simulation models, as proposed in this thesis, network planners and engineers can gain valuable insights into the behavior of Wi-Fi networks in indoor environments, evaluate different deployment scenarios, and optimize network parameters to meet the specific requirements of users and applications. Proper indoor Wi-Fi planning not only enhances user experience but also enables seamless connectivity, supports emerging technologies like Internet of Things (IoT), and facilitates the digital transformation of various industries.

This work focuses on enhancing the residential building model, Wi-Fi channel model, and interference models in the network simulator ns-3, with the objective of recreating realistic channel and interference conditions for network simulations. The performance of Wi-Fi links heavily relies on the signal strength of the desired transmission as well as other Wi-Fi and non-Wi-Fi interferers. To address this, we propose a few augmented models. Firstly, we introduce a floor plan-based building loss model that accurately captures the impact of the physical environment on signal propagation. Additionally, we present a packet trace-based channel quality model that effectively represents the varying quality of the wireless channel. Furthermore, we develop a stochastic (Markov) model for aggregate interference, which accurately simulates the interference observed in real-world experiments. Moreover, we propose a fair queue and weighted channel access mechanism for Wi-Fi medium access control (MAC) to enable simulations of networks accommodating flows with diverse quality of service (QoS) requirements. Through simulations, we demonstrate the practicality and relevance of the proposed models in the design and planning of indoor Wi-Fi networks and radio resource management (RRM) algorithms.