为处理分布式光伏发电设备接入电力系统所产生的大量计算任务,满足 5G用户设备的低时延需求,文章提出了一种光伏现场基于5G空中接口(5G new radio in unlicensed spectrum,5G NR-U)任务卸载的异构边缘云组网架构,通过将光伏计算任务分布式分配给异构的移动边缘计算(mobile edge computing,MEC),建立多用户多任务场景下系统时延和终端能耗最小化为目标的边缘云任务卸载模型,进而提出了一种基于人工免疫算法的多任务卸载策略.实验结果表明,提出的方案有效降低了光伏现场计算任务的综合代价,为 5G NR-U 时间敏感业务提供确定性通信保障.
Edge Cloud Networking Method Based on 5G NR-U Task Offloading in Photovoltaic Field
In order to handle the numerous computing tasks generated by distributed photovoltaic devices connecting to the power system and meet the low-latency demand of 5G devices,a heterogeneous edge cloud networking architecture based on 5G NR-U in photovoltaic field is proposed.In this paper,an edge cloud task offloading model is established,by allocating photovoltaic computing tasks to heterogeneous MECs in a distributed manner,with the goal of minimizing system latency and energy consumption in a multi-user multi-task scenario.An offloading strategy based on artificial immunity algorithm is proposed.Simulation results show that the proposed scheme effectively reduces the comprehensive cost of photovoltaic computing tasks,and provides deterministic communication guarantee for 5G NR-U time-sensitive services.
heterogeneous edge cloudsedge-cloud joint schedulingphotovoltaic field5G NR-Utime-sensitive service
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