Mitigating Network Congestion in High-Density Areas Through Advanced Distributed Antenna Systems

This dissertation investigates the optimization of Distributed Antenna Systems (DAS) to address network performance challenges, enhance user satisfaction, and improve operational efficiencies in high-density environments. The study explores the integration of DAS with smart city infrastructure to support modern urban needs, such as real-time monitoring and IoT device connectivity. Set against the backdrop of growing urbanization and increasing demand for reliable connectivity, this research provides a comprehensive analysis of DAS as a transformative solution for telecommunications and smart city applications. The primary research question guiding this study was: How can Distributed Antenna Systems (DAS) be optimized to enhance network performance and user satisfaction while improving operational efficiencies in high-density environments? Data collection included surveys with end-users, alongside pilot tests of DAS deployment integrated with IoT systems such as smoke detectors. Secondary data from publicly available datasets, including signal strength metrics and network performance records, provided additional context. The results demonstrated that DAS significantly enhances signal strength, reliability, and operational cost efficiency. Pilot tests revealed a substantial improvement in network performance, with signal strength increasing by up to 30% in previously weak areas. Surveys indicated that 88% of end-users reported better connectivity, while industry professionals highlighted the scalability and cost-effectiveness of DAS when integrated with existing smart city systems. Key conclusions drawn from the findings include the critical role of strategic placement, shared infrastructure, and the importance of addressing regulatory barriers. The dissertation’s recommendations emphasize leveraging DAS as a shared backbone for IoT systems, fostering collaborations between stakeholders, and developing clear regulatory frameworks to support broader adoption. Future research could expand these findings to rural and underdeveloped regions, explore integration with advanced technologies like AI and edge computing, and investigate environmental sustainability aspects of DAS deployment.