Distributed Multi-Objective Dynamic Offloading Scheduling for Air-Ground Cooperative MEC

arXiv:2403.10927v1 Announce Type: cross
Abstract: Utilizing unmanned aerial vehicles (UAVs) with edge server to assist terrestrial mobile edge computing (MEC) has attracted tremendous attention. Nevertheless, state-of-the-art schemes based on deterministic optimizations or single-objective reinforcement learning (RL) cannot reduce the backlog of task bits and simultaneously improve energy efficiency in highly dynamic network environments, where the design problem amounts to a sequential decision-making problem. In order to address the aforementioned problems, as well as the curses of dimensionality introduced by the …

abstract aerial art arxiv attention computing cs.it cs.lg distributed dynamic edge edge computing efficiency energy energy efficiency math.it mobile mobile edge computing multi-objective reduce reinforcement reinforcement learning scheduling server state type unmanned aerial vehicles vehicles