Task-oriented and Semantics-aware Communication Framework for Avatar-centric Augmented Reality
arxiv(2023)
摘要
Upon the advent of the emerging metaverse and its related applications in
Augmented Reality (AR), the current bit-oriented network struggles to support
real-time changes for the vast amount of associated information, hindering its
development. Thus, a critical revolution in the Sixth Generation (6G) networks
is envisioned through the joint exploitation of information context and its
importance to the task, leading to a communication paradigm shift towards
semantic and effectiveness levels. However, current research has not yet
proposed any explicit and systematic communication framework for AR
applications that incorporate these two levels. To fill this research gap, this
paper presents a task-oriented and semantics-aware communication framework for
augmented reality (TSAR) to enhance communication efficiency and effectiveness
in 6G. Specifically, we first analyse the traditional wireless AR point cloud
communication framework and then summarize our proposed semantic information
along with the end-to-end wireless communication. We then detail the design
blocks of the TSAR framework, covering both semantic and effectiveness levels.
Finally, numerous experiments have been conducted to demonstrate that, compared
to the traditional point cloud communication framework, our proposed TSAR
significantly reduces wireless AR application transmission latency by 95.6
while improving communication effectiveness in geometry and color aspects by up
to 82.4
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