FlexScatter: Predictive Scheduling and Adaptive Rateless Coding for Wi-Fi Backscatter Communications in Dynamic Traffic Conditions

The potential of Wi-Fi backscatter communications systems is immense, yet challenges such as signal instability and energy constraints impose performance limits. This paper introduces FlexScatter, a Wi-Fi backscatter system featuring a designed scheduling strategy based on excitation prediction and...

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Bibliographic Details
Published in:IEEE transactions on green communications and networking p. 1
Main Authors: He, Xin, Xie, Jingwen, Zhang, Aohua, Jiang, Weiwei, Zhu, Yujun, Matsumoto, Tad
Format: Journal Article
Language:English
Published: IEEE 2025
Subjects:
Backscatter
Coding Algorithm
Data collection
Deep Learning
Encoding
Heuristic algorithms
Prediction algorithms
Predictive models
Receivers
Reliability
Traffic Prediction
Transmission Scheduling
Wi-Fi Backscatter Communication Systems
Wireless fidelity
Wireless networks
ISSN:2473-2400, 2473-2400
Online Access:Get full text
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Summary:The potential of Wi-Fi backscatter communications systems is immense, yet challenges such as signal instability and energy constraints impose performance limits. This paper introduces FlexScatter, a Wi-Fi backscatter system featuring a designed scheduling strategy based on excitation prediction and rateless coding to enhance system performance. Initially, a Wi-Fi traffic prediction model is constructed by analyzing the variability of the excitation source. Then, an adaptive transmission scheduling algorithm is proposed to address the low energy consumption demands of backscatter tags, adjusting the transmission strategy according to predictive analytics and taming channel conditions. Furthermore, leveraging the benefits of low-density parity-check (LDPC) and fountain codes, a novel coding and decoding algorithm is developed, which is tailored for dynamic channel conditions. Experimental validation shows that FlexScatter reduces bit error rates (BER) by up to 30%, enhances energy efficiency by 7%, and overall system utility by 11%, compared to conventional methods. FlexScatter's ability to balance energy consumption and communication efficiency makes it a robust solution for future IoT applications that rely on unpredictable Wi-Fi traffic.
ISSN:2473-2400
2473-2400
DOI:10.1109/TGCN.2025.3547569