Point cloud is one of data structures to reconstruct 3D scenes and objects on holographic displays. Although
some studies on point cloud delivery use graph-based operations for compression and transmission, it causes
a large communication overhead. We design a wireless point cloud delivery scheme to reduce the amount of overhead
with a slight 3D reconstruction quality degradation. Specifically, the proposed scheme exploits Givens rotation for
the graph-based transform basis matrix to compress the basis matrix into quantized angle parameters. From the
evaluation results, we can see the receiver can reconstruct a clean point cloud by using the basis matrix obtained
from the quantized angle parameters even when the angle parameters are strongly quantized for compression.