Joint Wireless and Optical Resources Allocation for Energy-Efficient Scalable Video Multicasting
Abstract
The rapid growth in mobile video services has significantly increased network traffic, posing new challenges for efficient utilization of limited network resources. In this paper, we propose an energy-efficient framework for cross-domain resource coordination tailored specifically to scalable video coding (SVC) multicast transmission. Our work jointly considers both optical resources on the wired side and wireless resources on the wireless side, where we introduce advanced techniques such as multiple-input multiple-output (MIMO) and non-orthogonal multiple access (NOMA) to boost spectral efficiency and better accommodate high data-rate demands. By leveraging the flexible wavelength allocation capability and energy-saving advantages of time and wavelength division multiplexed passive optical network (TWDM-PON), we formulate a unified optimization problem based on a utility function that balances user quality of experience (QoE) and overall system power consumption. The optimization problem involves selecting suitable SVC enhancement layers for users, assigning wireless resources, and allocating optical wavelengths. To simplify this complex process, we divide the original problem into two subproblems: user grouping and resource allocation. The subproblem is converted into a convex form using the convex-concave procedure (CCP) and solved iteratively. Our proposed solution effectively coordinates optical and wireless resources, addressing repeated requests for identical video content alongside QoE requirements. Simulation results demonstrate that our method achieves improved resource utilization and a better balance between QoE and power efficiency compared to existing approaches.
Fields of Study & Subjects
Advanced Photonic Communication Systems
Image and Video Quality Assessment
Optical Wireless Communication Technologies
Publication details
- Journal / source
- IEEE Internet of Things Journal
- Volume
- 13
- Issue
- 7
- Pages
- 14992–15004
- Publication date
- 6 January 2026