Browsing by Author "Li, Yang"

In motorsports, especially in car races, communication among the cars, pit crews, and the audience must meet diverse requirements. The racing cars and their drivers communicate extensively with pit crews, who monitor the vehicles to ensure proper mechanical status and driver safety with high-reliability communications. At the same time, broadcasters receive footage from the track to distribute it to the audience worldwide. The current 5G networks allow the creation of private networks, which can be a decent tool to serve motorsport events. Consequently, the devices on the private network can be isolated from the network traffic from the spectators. In this thesis, we plan to quantify and analyze the measurement of using the private and public LTE networks for a racing scenario. The work will involve simulating races in a network simula- tor. Specifically, mobility traces collected from an actual racing event will be used to simulate mobile nodes as the racing drivers. The fixed location applies to a pit crew, a broadcaster, and an audience, with the base station as an access point. The configuration of base station decides on the type of LTE network in the simulations, we measure each network model and evaluate the performance based on selected metrics. Finally, we discuss the discovery based on our simluations and the potential reasons behind them.