Energy-Efficient Multi-View Video Transmission with View Synthesis-Enabled Multicast

Abstract

Multi-view videos (MVVs) provide immersive viewing experience, at the cost of heavy load to wireless networks. Except for further improving viewing experience, view synthesis can create multicast opportunities for efficient transmission of MVVs in multiuser wireless networks, which has not been recognized in existing literature. In this paper, we would like to exploit view synthesisenabled multicast opportunities for energy-efficient MVV transmission in a multiuser wireless network.Specifically, we first establish a mathematical model to characterize the impact of view synthesis on multicast opportunities and energy consumption. Then, we consider the optimization of view selection, transmission time and power allocation to minimize the weighted sum energy consumption for view transmission and synthesis, which is a challenging mixed discrete-continuous optimization problem. We propose an algorithm to obtain an optimal solution with reduced computational complexity by exploiting optimality properties. To further reduce computational complexity, we also propose two low-complexity algorithms to obtain two suboptimal solutions, based on continuous relaxation and Difference of Convex (DC) programming, respectively. Finally, numerical results demonstrate the advantage of the proposed solutions. Index Termsmulti-view video, view synthesis, multicast, convex optimization, DC programming. August 16, 2018 DRAFT

Optimal Multi-View Video Transmission in Multiuser Wireless Networks by Exploiting Natural and View Synthesis-Enabled Multicast Opportunities

“…This paper extends the results in the conference version[1] which does not consider the difference in timescale between view selection and time and power allocation, and studies only the energy consumption minimization problem.…”

“…Note that the only difference between Problem 8 and Problem 10 is that ∆ in Problem 8 satisfy (1) and ∆ in Problem 10 satisfy (29). As the fact that ∆ satisfy (1) implies that ∆ satisfy (29), the optimal value of Problem 8 is no greater than the optimal value of Problem 10.…”

“…The work of Z. Liu was supported by JSPS KAKENHI grants 18K18036, 19H04092, and The Telecommunications Advancement Foundation Research Fund. The paper has been presented in part at the IEEE GLOBECOM 2018 [1]. The associate editor coordinating the review of this paper and approving it for publication was Prof. Asaf Cohen.…”

“…The main contributions of this paper are summarized below. 1 • First, we establish a mathematical model to specify view synthesis at the server and each user and characterize its impact on multicast opportunities. Note that this model is highly nontrivial and fundamentally enables the optimization of multicast opportunities.…”