Secure Transmission for Integrated Backscatter Networks: A QoS-Guaranteed Multi-Device Scheduling and Time Switching Strategy
Backscatter communication is emerging as a promising solution for enabling low-power and large-scale IoT applications. However, it faces challenges in terms of widespread deployment, wireless resource management, and quality of service (QoS). In this paper, we first propose a secure transmission architecture to integrate the backscatter network with the existing 5G/IoT infrastructure. Next, we introduce a multi-device scheduling and time-switching strategy aimed at optimizing both capacity and secure throughput. In the time-switching scheme, BDs primarily operate in symbiotic mode without requiring additional spectrum, but can dynamically switch to opportunistic spectrum access mode when necessary, with adaptive time allocation to improve QoS. For multi-device scheduling, BDs are assigned to function as a master transmission node, cooperation node, or spoofing/jamming node, thereby enhancing the system’s resistance to proactive eavesdropping. The optimization problem is formulated to minimize spectrum resource usage while ensuring QoS and following the energy constraint. To solve this, we introduce an enumeration-based interior-point algorithm (EIA) and design a novel progressive greedy algorithm (PGA). The EIA method provides optimal solutions, while the PGA algorithm achieves high-quality suboptimal solutions with lower complexity. Extensive simulation results demonstrate that the proposed strategy stands out in ensuring QoS, enhancing security, and reducing spectrum resource usage.
Authors
- Ying‐Chang Liang
- Fengye Hu (ORCID: https://orcid.org/0000-0002-5694-4057)
- Chi Jin (ORCID: https://orcid.org/0000-0002-4050-9683)
- Zheng Chang (ORCID: https://orcid.org/0000-0003-3766-820X)
- Mingan Luan (ORCID: https://orcid.org/0000-0002-2407-5889)
- Ilkka Pölönen
Institutions
- University of Electronic Science and Technology of China (CN)
- Jilin University (CN)
- Jilin Medical University (CN)
Publication Details
- Journal
- IEEE Transactions on Communications
- Published
- 2025-10-14
- DOI
- https://doi.org/10.1109/tcomm.2025.3621060
- Primary Topic
- Energy Harvesting in Wireless Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00