Strategic Learning Approach for Deploying UAV-Provided Wireless Services

Unmanned Aerial Vehicle (UAV) have emerged as a promising technique to rapidly provide wireless services group of mobile users simultaneously. The paper aims address challenging issue that each user is selfish and may misreport his location or preference for changing the optimal UAV be close himself. Using algorithmic game theory, we study how determine final in 3D space, by ensuring all users' truthfulness reporting their locations learning purpose. To minimize social service cost this placement game, design strategyproof mechanisms with approximation ratios, when comparing optimum. We also obnoxious maximally keep utility, where incumbent away from him. Moreover, present dual-preference considering coexistence two groups above, can both types (favorable obnoxious) towards UAV. Finally, extend three games above include multiple UAVs provable ratios.