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.

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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
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article

Secure Transmission for Integrated Backscatter Networks: A QoS-Guaranteed Multi-Device Scheduling and Time Switching Strategy

Ying‐Chang Liang, Fengye Hu, Chi Jin, Zheng Chang et al.
IEEE Transactions on Communications
Energy Harvesting in Wireless Networks
article

Secure Transmission for Integrated Backscatter Networks: A QoS-Guaranteed Multi-Device Scheduling and Time Switching Strategy

Ying‐Chang Liang, Fengye Hu, Chi Jin, Zheng Chang, Mingan Luan, Ilkka Pölönen
article en

Abstract

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.

IEEE Transactions on CommunicationsVol. 74
University of Electronic Science and Technology of China (CN), Jilin University (CN), Jilin Medical University (CN)
Openalex Percentile: Top 71%
Energy Harvesting in Wireless Networks
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