4.8 Article

Sidelink-Aided Multiquality Tiled 360° Virtual Reality Video Multicast

Journal

IEEE INTERNET OF THINGS JOURNAL
Volume 9, Issue 6, Pages 4584-4597

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JIOT.2021.3105100

Keywords

Multicast; resource allocation; sidelink; tiled 360 degrees video; virtual reality (VR)

Funding

  1. National Natural Science Foundation of China [61971069, 61801051]
  2. Beijing Natural Science Foundation [L202003]
  3. NSF [ECCS-1923717]

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This article studies the application of sidelink-aided multicast scenarios in multiquality tiled 360 degrees VR video transmission. By optimizing the quality level selection, sidelink sender/receiver selection, and transmission resource allocation, the total utility of all users can be maximized under bandwidth constraints and quality smoothness constraints.
Mobile/wireless virtual reality (VR) services, especially immersive 360 degrees VR videos, have advanced unprecedentedly in recent years. However, the high bandwidth requirement of VR services has compounded the burden on wireless networks. Multicast is a high potential technique for alleviating the bandwidth requirement of 360 degrees VR video streaming, but the multicast capacity is still constrained by the users with poor channel conditions, and it vanishes when the number of users increases while the number of the base station (BS) antennas is fixed. To overcome the drawbacks of multicast, sidelink, which is an adaptation of the core LTE standard that allows the device-to-device (D2D) communications without going through a BS, can be utilized. In this article, two sidelink-aided multicast scenarios (i.e., independent decoding and joint decoding) are studied for multiquality tiled 360 degrees VR video transmission. We propose a utility model for each scenario, and quality level selection, sidelink sender/receiver selection, and transmission resource allocation are optimized to maximize the total utility of all users under the bandwidth constraints as well as the quality smoothness constraints for multiquality tiles. We then develop an iterative two-stage algorithm to obtain suboptimal solutions to the formulated mixed-integer nonlinear programming (MINLP) problems. Simulation results demonstrate the advantage of the proposed solutions over several baseline schemes.

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