  Multi-view videos (MVVs) provide immersive viewing experience, at the cost of
traffic load increase for wireless networks. In this paper, we would like to
optimize MVV transmission in a multiuser wireless network by exploiting both
natural multicast opportunities and view synthesis-enabled multicast
opportunities. Specifically, we first establish a mathematical model to specify
view synthesis at the server and each user, and characterize its impact on
multicast opportunities. This model is highly nontrivial and fundamentally
enables the optimization of view synthesis-based multicast opportunities. For
given video quality requirements of all users, we consider the optimization of
view selection, transmission time and power allocation to minimize the average
weighted sum energy consumption for view transmission and synthesis. In
addition, under the energy consumption constraints at the server and each user
respectively, we consider the optimization of view selection, transmission time
and power allocation and video quality selection to maximize the total utility.
These two optimization problems are challenging mixed discrete-continuous
optimization problems. For the first problem, we propose an algorithm to obtain
an optimal solution with reduced computational complexity by exploiting
optimality properties. For each problem, to reduce computational complexity, we
also propose a low-complexity algorithm to obtain a suboptimal solution, using
Difference of Convex (DC) programming. Finally, numerical results show the
advantage of the proposed solutions over existing ones, and demonstrate the
importance of the optimization of view synthesis-enabled multicast
opportunities in MVV transmission.
