Augmented Reality Cell Site Visualization App

Reliable, high-speed internet access is becoming a necessity. However, customers lack choice and freedom with their current internet service providers and existing cable infrastructure. Wireless home internet is a growing use-case for 5G, but customers experience service issues due to suboptimal indoor home internet device placement. Compared to indoor devices, outdoor device placement offers better RF conditions. Outdoor installation also enables the use of high band mmWave frequencies due to line-of-sight requirements. Optimal outdoor installation is challenging and often requires professional installation. This student team worked to develop an augmented reality app to assist T-Mobile wireless home internet customers with indoor/outdoor device placement, give T-Mobile customers a tool to visualize the nearest cell site and antenna configuration, recommend device placement with highest predicted line of-sight to ensure an optimal home internet experience, and assist with outdoor home internet device installation challenges otherwise requiring professional help. Anticipated outcomes this student team worked towards included: - Investigation and analysis of antenna parameters and RF conditions - Understanding of wireless network architecture and RF conditions. - Trained ML model to predict RF conditions of device placement - Machine learning model training, evaluation, and deployment - Proof-of-concept augmented reality mobile app for home internet device placement - Inclusive UI/UX app design and test-driven, collaborative app development

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