Energy Consumption Minimization in Secure Multi-antenna UAV-assisted MEC Networks with Channel Uncertainty

This paper investigates the robust and secure task transmission computation scheme in multi-antenna unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) networks, where UAV is dual-function, i.e., MEC relay. The channel uncertainty considered during information offloading downloading. An energy consumption minimization problem formulated under some constraints including users’ quality of service security requirements UAV’s trajectory’s causality, by jointly optimizing CPU frequency, time, beamforming vectors, artificial noise trajectory UAV, as well time transmit power each user. To solve non-convex problem, a reformulated first derived series convex reformation methods, semi-definite relaxation, S-Procedure first-order approximation, then, solved proposed successive approximation (SCA)-based algorithm. convergence performance computational complexity algorithm are analyzed. Numerical results demonstrate that outperforms existing benchmark schemes. Besides, SCA-based superior to traditional alternative optimization-based