【摘要】 以边缘计算技术(MEC)的系统时延和能耗作为联合优化的核心指标，对多小区-多终端场景进行系统性混合整数非线性规划(MINLP)的数学建模，利用遗传算法中嵌套麻雀觅食算法的思路，建立从整体到局部的联合优化方法；通过分析通信资源与计算资源二者之间的置换机理，给出了高效的终端接入选择、任务卸载策略，以及发射功率、计算频率等优化方法.为未来新型业务在时效与能耗等优化方面起到积极的理论指导作用，也为未来6G通信、计算、存储、控制等4C一体化设计提供有益探索.更多还原

【Abstract】 Aim to achieve the core indexes of mobile edge computing(MEC) time delay and energy consumption joint optimization,a mixed-integer nonlinear programming(MINLP) model was provided under the multi-cell-multi-terminal scenarios.By using of embedding sparrow foraging algorithm into genetic algorithm,an optimization method from the whole to the local was established. And then, a replacement mechanism between communication resources and computing resources was analyzed.Moreover, a serial of scheduling method, including efficient terminal access selection,task unloading strategy, transmitting power, computing frequency and so on, were deduced. This work, as a significant exploration for the integration design, will benefit the optimization of efficiency and energy consumption for the future 6G service.更多还原