Optimal Design of Resource Discovery-Allocation- Transmission-Offloading Strategy in Mobile Edge Computing

Mobile Edge Computing (MEC) is a key technology of IoTs and 5G networks and presents many challenges (such as resource discovery, resource allocation, computation offloading and transmission power design) that need to be addressed. Previous works studying on improving the performance of MEC system may only optimize these issues separately or just jointly optimized part of them. In this paper, we propose a Discovery-Allocation-Transmission-Offloading (DATO) strategy by taking all these aspects into consideration with discovery order to minimize energy consumption. Discovery strategy indicates when to suspend edge node (EN) discovery and perform computation offloading. Transmission strategy specifies the optimal power used to transmit the data. The offloading strategy tells the portion of data offloaded to the EN for execution. The discovery order demonstrates the sequence of EN searching. This problem is formulated as a stochastic sequential decision-making problem and Dynamic Programming (DP) is used to achieve the optimal scheme. Numerical results show the effectiveness of our proposed strategy.