中圖分類號： TN929.5
文獻標識碼： A
DOI：10.16157/j.issn.0258-7998.200113
中文引用格式： 閆偉，申濱，劉笑笑. 基于自適應遺傳算法的MEC任務卸載及資源分配[J].電子技術應用，2020，46(8)：95-100.
英文引用格式： Yan Wei，Shen Bin，Liu Xiaoxiao. Offloading and resource allocation of MEC based on adaptive genetic algorithm[J]. Application of Electronic Technique，2020，46(8)：95-100.

Offloading and resource allocation of MEC based on adaptive genetic algorithm

Abstract： Mobile Edge Computing(MEC) provides its users with low energy consumption and low latency by providing IT service environment and cloud computing capabilities at the edge of mobile networks. This paper addresses the computing tasks offloading in a single-cell MEC scenario, and designs the optimization function of system total cost, and proposes a joint optimization problem of offloading decision and resource allocation. Firstly, the adaptive genetic algorithm is used to make the offloading decision and subsequent update operations. Based on updating the offloading decision, the two sub-problems of power allocation and computing resource allocation are solved correspondingly. The binary search method and the Lagrange multiplier method are used to obtain the optimal solutions for power allocation and computation resource allocation, respectively. Simulation results show that the proposed scheme can meet the goal of minimizing total system overhead for users under the requirement of delay constraints, and effectively improve system performance and user service quality.

Key words : mobile edge computing(MEC)；adaptive genetic algorithm；task offloading；resource allocation