| Summary: | The advent of the Metaverse era, accelerated by the global pandemic and advancements in
5G, Virtual Reality (VR), and Extended Reality (XR) technologies, has ushered in a new era
of online events, transforming traditional social gatherings into immersive digital
experiences. The Metaverse concept, characterized by digital subworlds blurring the
boundaries between the physical and virtual realms, has gained significant traction. In
response to this paradigm shift, the demand for seamless VR experiences has surged.
VR content generation methods play a pivotal role in shaping the quality of the VR
experience, with frame rate serving as a critical determinant of visual smoothness and overall
immersion. High frame rates are essential for a captivating VR encounter, yet the necessity
for expensive, high-performance computers poses accessibility challenges. To bridge this
gap, harnessing cloud-based processing power has emerged as an increasingly popular
approach for streaming high-quality VR content, democratizing access to immersive
experiences. Complementing this, edge computing technology is leveraged to minimize
latency associated with cloud-based VR streaming.
However, while cloud and remote edge solutions offer mobility and convenience, they
introduce inherent trade-offs, including network delays and bandwidth consumption.
Streaming VR content from cloud or remote edge devices necessitates substantial backhaul
and cellular bandwidth, culminating in network congestion.
Addressing this research gap, this study focuses on enhancing the Metaverse experience by
optimizing the rendering and streaming system over heterogeneous wireless networks and
implementing real-time rendering solutions to augment visual fidelity. Unlike previous
efforts, this research seeks to provide users with an immediate and user-centric solution to
enhance their VR experience.
The primary objective of this project is to facilitate a seamless Metaverse encounter for users
by leveraging their existing resources and cloud infrastructure. The scope encompasses an
extensive study of existing render streaming methods and platforms, with a specific emphasis
on elevating stream quality, augmenting frame rates, and mitigating latency issues. The
project aims to distil the insights gained from this analysis into a streamlined platform
tailored to diverse interactions, programs, and platforms.
In summary, this research endeavours to bridge the gap between the Metaverse's immense
potential and users' accessibility, offering a practical solution that harmonizes the virtual and
physical realms for a more immersive and enjoyable experience.
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