  Mobile edge computing (MEC)-enabled Internet of Things (IoT) networks have
been deemed a promising paradigm to support massive energy-constrained and
computation-limited IoT devices. IoT with mobility has found tremendous new
services in the 5G era and the forthcoming 6G eras such as autonomous driving
and vehicular communications. However, mobility of IoT devices has not been
studied in the sufficient level in the existing works. In this paper, the
offloading decision and resource allocation problem is studied with mobility
consideration. The long-term average sum service cost of all the mobile IoT
devices (MIDs) is minimized by jointly optimizing the CPU-cycle frequencies,
the transmit power, and the user association vector of MIDs. An online
mobility-aware offloading and resource allocation (OMORA) algorithm is proposed
based on Lyapunov optimization and Semi-Definite Programming (SDP). Simulation
results demonstrate that our proposed scheme can balance the system service
cost and the delay performance, and outperforms other offloading benchmark
methods in terms of the system service cost.
