Joint optimization of Task Offloading and Computing Resource Allocation in MEC-D2D Network

In mobile edge computing (MEC) network, computing offloading can alleviate resource constraints and improve service quality effectively. Meanwhile data transmission in Device-to-Device (D2D) communication can realize resource sharing and balance among different users, in order to improve system spectrum utilization and reduce communication delay. Aiming at minimizing the task delay and terminal energy consumption in MEC network, a joint optimization problem considering task offloading and computing resource allocation is formulated in D2D-assisted MEC network by building cost optimization model with multi-objective constraints. Moreover, the original problem is decoupled as two sub-problems which are solved by discrete ternary particle swarm optimization (DTPSO) algorithm and Lagrange multiplier method, respectively. Simulation results show that compared with three other typical methods, the proposed scheme in this work can effectively reduce task execution delay and terminal energy consumption.