COOK: Chirp-OOK Communication with Self-reliant Bitrate Adaptation in Backscatter Networks
Gang Huang, Panlong Yang, Xin He, Yubo Yan, Hao Zhou, Xiangyang Li and, Pengjun Wan

TL;DR
COOK introduces a self-reliant bitrate adaptation system for backscatter IoT communication using Chirp-OOK modulation, significantly enhancing range and stability without feedback, suitable for large-scale deployments.
Contribution
The paper presents a novel Chirp-OOK modulation with self-reliant bitrate adaptation, enabling stable, long-range backscatter communication without feedback mechanisms.
Findings
Communication range up to 27 meters, seven times larger than traditional systems.
Bitrate adaptable from 0.33 kbps to 1.2 Mbps with BER below 1%.
Enhanced stability and robustness in noisy environments.
Abstract
For large-scale Internet of Things (IoT), backscatter communication is a promising technology to reduce power consumption and simplify deployment. However, backscatter communication lacks stability, along with limited communication range within a few meters. Due to the limited computation ability of backscatter tags, it is burdensome to effectively adapt the bitrate for the time-varying channel. Thus, backscatter tags are failed to fully utilize the optimal transmission rate. In this paper, we design a system named COOK with self-reliant bitrate adaptation in backscatter communication. Channel symmetry allows backscatter tags to adjust bitrate depending on the received signal strength of the excitation source (ES) without feedback. In addition, the chirp spreading signal is exploited as the ES signal to enable backscatter tags to work under noise floor. Our modulation approach is…
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Taxonomy
TopicsEnergy Harvesting in Wireless Networks · Full-Duplex Wireless Communications · Advanced MIMO Systems Optimization
