Abstract
In this paper, the problem of wireless virtual reality (VR) resource
management is investigated for a wireless VR network in which VR contents are
sent by a cloud to cellular small base stations (SBSs). The SBSs will collect
tracking data from the VR users, over the uplink, in order to generate the VR
content and transmit it to the end-users using downlink cellular links. For
this model, the data requested or transmitted by the users can exhibit
correlation, since the VR users may engage in the same immersive virtual
environment with different locations and orientations. As such, the proposed
resource management framework can factor in such spatial data correlation, to
better manage uplink and downlink traffic. This potential spatial data
correlation can be factored into the resource allocation problem to reduce the
traffic load in both uplink and downlink. In the downlink, the cloud can
transmit 360 contents or specific visible contents that are extracted from the
original 360 contents to the users according to the users' data correlation to
reduce the backhaul traffic load. For uplink, each SBS can associate with the
users that have similar tracking information so as to reduce the tracking data
size. This data correlation-aware resource management problem is formulated as
an optimization problem whose goal is to maximize the users' successful
transmission probability, defined as the probability that the content
transmission delay of each user satisfies an instantaneous VR delay target. To
solve this problem, an echo state networks (ESNs) based transfer learning is
introduced. By smartly transferring information on the SBS's utility, the
proposed transfer-based ESN algorithm can quickly cope with changes in the
wireless networking environment.