Optimal Design of a Home Network in a Wi-Fi Environment

Abstract

The primary objective of this study is to design an optimal home wireless network based on an in-depth analysis of Wi-Fi signal coverage and interference. The research focuses on applying IEEE 802.11 standards and practical tools to measure, simulate, and improve the wireless environment in a real multi-floor household. Measurement tools such as NetSpot and iPerf were used to analyze signal strength, data throughput, and noise. Predictive simulations were performed using Hamina software to determine the optimal positioning of access points and frequency planning. The redesigned network was deployed and re-measured to compare performance metrics. Results indicate a significant improvement in signal coverage, more stable connectivity, and increased data transfer rates across all floors. The project also demonstrates the importance of proper channel allocation and network segmentation to reduce interference and improve network security. The presented approach provides a practical methodology that can be replicated in similar home or small office environments.