增强现实场景下移动边缘计算资源分配优化方法

Resource allocation optimization method for augment reality applications based on mobile edge computing

针对高速数据传输及计算所带来时延和终端设备能耗问题,提出了一种在上行链路采用等功率分配的传输方案。首先,依据增强现实(AR)业务的协作属性建立了针对AR特性的系统模型;其次,详细分析了系统帧结构,建立以最小化系统消耗总能量为优化目标的约束条件;最后,在保障延迟和功耗满足约束的条件下,建立了基于凸优化的移动边缘计算(MEC)资源优化求解数学模型,从而获得最优的通信和计算资源分配方案。与独立传输相比,该方案在最大延迟时间分别为0. 1 s和0. 15 s时的总能耗降幅均为14. 6%。仿真结果表明,在相同条件下,与基于用户独立传输的优化方案相比,考虑用户间协作传输的等功率MEC优化方案能显著减少系统消耗的总能量。

Considering the time delay and the energy consumption of terminal equipment caused by high-speed data transmission and calculation, a transmission scheme with equal power allocation in uplink was proposed. Firstly, based on collaborative properties of Augment Reality( AR) services, a system model for AR characteristics was established. Secondly, system frame structure was analyzed in detail, and the constraints to minimize total energy consumption of system were established. Finally,with the time delay and energy consumption constraints satisfied, a mathematical model of Mobile Edge Computing( MEC) resource optimization based on convex optimization was established to obtain an optimal communication and computing resource allocation scheme. Compared with user independent transmission scheme, the total energy consumption of the proposed scheme with a maximum time delay of 0. 1 s and 0. 15 s was both 14. 6%. The simulation results show that under the same conditions, compared with the optimization scheme based on user independent transmission, the equal power MEC optimization scheme considering cooperative transmission between users can significantly reduce the total energy consumption of system.