3D holographic communication has the potential to revolutionize the way people interact with each other in virtual spaces, offering immersive and realistic experiences. However, demands for high data rates, extremely low latency, and high computations to enable this technology pose a significant challenge. To address this challenge, we propose a novel job scheduling algorithm that leverages Mobile Edge Computing (MEC) servers in order to minimize the total latency in 3D holographic communication. One of the motivations for this work is to prevent the uncanny valley effect, which can occur when the latency hinders the seamless and real-time rendering of holographic content, leading to a less convincing and less engaging user experience. Our proposed algorithm dynamically allocates computation tasks to MEC servers, considering the network conditions, computational capabilities of the servers, and the requirements of the 3D holographic communication application. We conduct extensive experiments to evaluate the performance of our algorithm in terms of latency reduction, and the results demonstrate that our approach significantly outperforms other baseline methods. Furthermore, we present a practical scenario involving Augmented Reality (AR), which not only illustrates the applicability of our algorithm but also highlights the importance of minimizing latency in achieving high-quality holographic views. By efficiently distributing the computation workload among MEC servers and reducing the overall latency, our proposed algorithm enhances the user experience in 3D holographic communications and paves the way for the widespread adoption of this technology in various applications, such as telemedicine, remote collaboration, and entertainment.

翻译：三维全息通信有潜力彻底改变人们在虚拟空间中的交互方式，提供沉浸式、逼真的体验。然而，实现该技术所需的高数据速率、极低延迟和强大计算能力构成了重大挑战。为解决这一挑战，我们提出了一种新颖的任务调度算法，该算法利用移动边缘计算（MEC）服务器，以最小化三维全息通信的总延迟。本项工作的动机之一是防止"恐怖谷效应"，当延迟阻碍全息内容的无缝实时渲染时，可能导致用户体验缺乏真实感和吸引力。我们提出的算法根据网络条件、服务器的计算能力及三维全息通信应用的需求，动态地将计算任务分配给MEC服务器。我们进行了大量实验以评估算法在延迟降低方面的性能，结果表明，我们的方法显著优于其他基线方法。此外，我们展示了一个涉及增强现实（AR）的实际场景，该场景不仅说明了我们算法的适用性，还凸显了最小化延迟对实现高质量全息视图的重要性。通过高效分配MEC服务器间的计算负载并降低整体延迟，我们提出的算法增强了用户在三维全息通信中的体验，并为该技术在远程医疗、远程协作和娱乐等各类应用中的广泛普及奠定了基础。