  Mobile edge computing (MEC) and terahertz (THz)enabled unmanned aerial
vehicle (UAV) communication systems are gaining significant attention for
improving user service delays in future mobile networks. This article
introduces a novel multi-UAV-aided MEC system operating at THz frequencies to
minimize expected user service delays, including communication and computation
latency. We address this challenge by jointly optimizing UAV relay selection,
power control, positioning, and user-resource association for task offloading
and resource allocation. To tackle the problem's complexities, we decompose it
into four subproblems, each solved optimally with our proposed algorithm. An
iterative penalty dual decomposition (PDD) algorithm approximates the original
problem's solution. Numerical results demonstrate that our PDD-based approach
outperforms baseline algorithms in terms of expected user service delay.
