摘要 Abstract 

虚擬實境和人工智慧的興起引發了人們對相關網路實例的廣泛討論，網路必須及時處理和傳輸海量感測訊息、3D環境、以及社交互動，以橋接真實世界和虛擬世界。首先，我將探討利用行動邊緣運算最佳化社群物聯網和5G的數據傳輸和能量採集，以促進訊息收集和處理效率。接著，我將介紹考慮視角合成技術的多視角線上群播和资源分配，以最低成本最佳化網路性能。

The emergence of VR and AI has gained much attention, sparking extensive discussion on relevant network paradigms. These networks process and convey massive amounts of information in real time, spanning from sensory data to 3D environments and social interactions to bridge the physical and virtual worlds. First, I will delve into optimizing data delivery and energy harvesting in the social Internet of Things (SIoT) and 5G with mobile edge computing (MEC) to facilitate information gathering and processing efficiency. Then, I will present online multicast traffic engineering and resource allocation for 3D videos with view synthesis to optimize network performance at a minimal cost.