  Virtual reality (VR) is making waves around the world recently. However,
traditional video streaming is not suitable for VR video because of the huge
size and view switch requirements of VR videos. Since the view of each user is
limited, it is unnecessary to send the whole 360-degree scene at high quality
which can be a heavy burden for the transmission system. Assuming filed-of-view
(FoV) of each user can be predicted with high probability, we can divide the
video screen into partitions and send those partitions which will appear in FoV
at high quality. Hence, we propose an novel strategy for VR video streaming.
First, we define a quality-of-experience metric to measure the viewing
experience of users and define a channel model to reflect the fluctuation of
the wireless channel. Next, we formulate the optimization problem and find its
feasible solution by convex optimization. In order to improve bandwidth
efficiency, we also add adaptive modulation to this part. Finally, we compare
our algorithm with other VR streaming algorithm in the simulation. It turns out
that our algorithm outperforms other algorithms.
