Resource Allocation in UAV-aided Vehicle Localization Frameworks

High accuracy and seamless positioning of vehicles formulate the basis of autonomous driving, as well as the modern intelligent transportation systems. In this paper, aiming at the vehicles in the “blind” spots, where only limited global navigation satellite system (GNSS) signals are provided, the unmanned aerial vehicles (UAVs) are introduced as alternating solutions. Furthermore, the energy efficient resource allocation frameworks are thus provided, based on the Fisher information inequality. All proposed methods can be solved through standard semidefinite programming (SDP) problems. Numerical results are provided. The joint power and bandwidth allocation (JPBA) outperforms both the pure power optimization, and the simple uniform resource allocation methods. Meanwhile, energy consumption tradeoffs between the UAVs and vehicles are also discussed.