Scalable Video Transmissions in Power-Division Multiplexing-Based IoV Networks
Scalable video coding (SVC) and power division multiplexing (PDM) are crucial technologies for video streaming in internet-of-vehicle (IoV) networks due to their robustness over time-varying channels. However, the correlation of video tiers and channel fluctuations induce significant complexity in the joint design of SVC and PDM in IoV networks. To reduce such complexity, we propose a novel transmission strategy for SVC-based video streaming in PDM technology by facilitating cross-layer control across the application, data link, and physical layers. Specifically, we propose a concise framework where the modulation order, the power control, and prioritization of video tiers are jointly controlled. Moreover, we leverage the network abstraction layer units within an arbitrary group-of-pictures to improve the overall video data rate. The formulated joint control of the modulation order, the transmission power, and video-tier prioritization is proved to be a quasi-concave problem. Consequently, our proposed cross-layer optimization based SVC video transmission strategy could efficiently utilize the prioritized video tiers in the application layer, power control in the data-link layer, and modulation orders in the physical layer. Numerical results are used to demonstrate performance improvements over the benchmarks.
Authors
- Yangyingzi Zhang
- Xiao Ma (ORCID: https://orcid.org/0000-0003-1017-9481)
- Yanjie Dong (ORCID: https://orcid.org/0000-0002-5623-0249)
- Weijia Han (ORCID: https://orcid.org/0000-0001-8378-3036)
- Victor C. M. Leung (ORCID: https://orcid.org/0000-0003-3529-2640)
Institutions
- Chinese University of Hong Kong, Shenzhen (CN)
- Peng Cheng Laboratory (CN)
- Shaanxi Normal University (CN)
Publication Details
- Journal
- IEEE Internet of Things Journal
- Published
- 2025-09-22
- DOI
- https://doi.org/10.1109/jiot.2025.3612959
- Primary Topic
- Telecommunications and Broadcasting Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00