This paper presents an in‐depth study and analysis of offloading strategies for lightweight
user mobile edge computing tasks using a machine learning approach. Firstly, a scheme for
multiuser frequency division multiplexing approach in mobile edge computing offloading is
proposed, and a mixed‐integer nonlinear optimization model for energy consumption
minimization is developed. Then, based on the analysis of the concave‐convex properties of
this optimization model, this paper uses variable relaxation and nonconvex optimization …

Retracted: Machine Learning‐Based Offloading Strategy for Lightweight User Mobile Edge
Computing Tasks … Tis is an open access article distributed under the Creative Commons
Attribution License, which permits unrestricted use, distribution, and reproduction in any
medium, provided the original work is properly cited. … Shuja, “Machine Learning-Based
Ofoading Strategy for Lightweight User Mobile Edge Computing Tasks,” Complexity, vol.
2021, Article ID 6455617, 11 pages, 2021. …