2023 Theses Master's

A Three-Dimensional GIS Model: Modeling Wireless Signal Strength and Solving the Urban Antenna Allocation Problem

Yun, Zhaoxiang

This study introduces an advanced method for optimizing cellular tower locations in Manhattan, New York, using Geographic Information System (GIS), Geographically Weighted Regression (GWR), and Multi-Criteria Decision Analysis (MCDA). It aims to balance cellular network supply and demand in Manhattan's complex urban landscape, improving urban infrastructure development.

The research underlines the importance of stable cellular networks in urban areas, particularly for smart cities. It examines the impact of urban environments on wireless signal strength and the challenges faced compared to rural areas, such as increased obstacles and diverse materials. The study proposes an algorithmic approach to enhance traditional signal measurement methods, involving the calculation of regional signal strength and demand for wireless connections. The MCDA model used considers factors like signal strength index, population density, and alternative internet access. The findings offer valuable insights for urban planning and telecom, assisting operators in resource allocation and network performance. It also helps policymakers in creating fair mobile network access regulations.

Overall, this research marks a significant step in improving urban wireless network coverage, offering guidance for future urban and telecom strategies, and supporting the development of smart cities.