..., this study proposes the multi-queue Lyapunov-guided deep reinforcement learning (MQ-LyDRL) method to minimize task processing delay by jointly optimizing task offloading and resource allocation. This method innovatively integrates Lyapunov optimization with DRL . Specifically, by constructing Lyapunov...

...Wenlong Shi; Heng Li; Yaozong Yang; Yihan Zuo; Ying Chen Purpose The authors study the problem of task offloading and resource allocation in a multi-access edge computing (MEC) system consisting of high altitude platform (HAP) and multiple internet of things devices (IoTDs) to minimize the total...

... cycle. To this end, this paper has developed a model for task offloading in UAV-assisted edge networks under dynamic channel conditions. This study seeks to efficiently execute task offloading while satisfying UAV energy constraints, and validates the effectiveness of the proposed method through...