  Immersive video, such as virtual reality (VR) and multi-view videos, is
growing in popularity. Its wireless streaming is an instance of general
multicast, extending conventional unicast and multicast, whose effective design
is still open. This paper investigates the optimization of general rate
splitting with linear beamforming for general multicast. Specifically, we
consider a multi-carrier single-cell wireless network where a multi-antenna
base station (BS) communicates to multiple single-antenna users via general
multicast. Linear beamforming is adopted at the BS, and joint decoding is
adopted at each user. We consider the maximization of the weighted sum rate,
which is a challenging nonconvex problem. Then, we propose an iterative
algorithm for the problem to obtain a KKT point using the concave-convex
procedure (CCCP). The proposed optimization framework generalizes the existing
ones for rate splitting for various types of services. Finally, we numerically
show substantial gains of the proposed solutions over existing schemes and
reveal the design insights of general rate splitting for general multicast.
