Towards Reliable V2X Service Using UAV-Aided Coded Content Caching

With the advent of intelligent transportation systems and the increase in global mobile data traffic, the need for space-air networks to provide extra resources, service, and coverage is becoming crucial. Recent technological advances in UAVs show that information processing equipment and data computation capabilities have been widely enhanced. UAVs play an important role in aiding terrestrial networks and proving cellular services. In this work, we harness the capabilities of UAVs and present a model where multiple UAVs cooperate together with the roadside units to serve vehicular nodes in rush hours and optimize content placement using file encoding technology to enhance the reliability of the whole system given the probability of a UAV failure. We present a system model, formulate the problem as a mixed integer linear programming problem and solve it using stochastic search algorithms. We run extensive simulations and show the effectiveness of our approach compared to several baseline approaches.