技術知識不斷引導我們進入一個智能城市環境這使我們周圍有大量的通信和計算，並且隨著5G時代的到來，新的體驗和服務會給我們帶來新的視角。首先我們先從5G與邊緣運算技術舉證目前可以達到幾乎0段訊，由此可見用戶應該在日常路線上獲得順暢的服務，其中我們觀察到大多數人通常會經過同一條路線並結合谷歌地圖和MEC架構等應用，我們可以通過將每條路線視為一個景況模型，讓設備/車輛提前知道上環境信息。因此我們設計QoS drop的事件的預測用以預測即將造成訊號品質的事件，由此可以設計提前避開或服務轉移的方法。從結果可以看出我們的方法與效能皆為最佳，我們繼續研究基地排的選擇與MEC的最佳化的重要基石。;Techknowledge keep leading us into a smart city environment which massive communication and computing around us. besides, with the advent of the 5G era, new experiences and services will bring us a new perspective. User should have a smooth service on everyday route while most of people usually passing the same route. Along with application like google map and MEC architecture, we could let device/ vehicle know the context information in advanced by regarded every route as a context model. We propose a new prediction for future service(e.g. VR streaming), which can predicting every time there will be a service drop. Not only integrates signal processing capabilities but also considers future high mobility. In order to proactive to every Qos drop letting users are available to experience VR streaming services while everyday driving.
