  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.
