UAV-Assisted Task Offloading in Vehicular Edge Computing Networks

Vehicular edge computing (VEC) provides an effective task offloading paradigm by pushing cloud resources to the vehicular network edges, e.g., road side units (RSUs). However, overloaded RSUs are likely to occur especially in urban aggregation areas, possibly leading to greatly compromised offloading performance. Inspired by this, this article explores this situation by introducing an unmanned aerial vehicle (UAV) to address the VEC overload problem. Specifically, we formulate a novel online UAV-assisted vehicular task offloading problem to minimize vehicular task delay under the long-term UAV energy constraint. To solve the formulated problem, we first decouple the long-term energy constraint based on the…

• NN
  National Natural Science Foundation of China

  Awards: U20A20181, 62272152
• BA
  Basic and Applied Basic Research Foundation of Guangdong Province

  Award: 2023A1515011915