Research Article
BLER Analysis of OOK Edge-Detection Receivers in Ambient IoT
@INPROCEEDINGS{10.1007/978-3-032-33662-0_39, author={Rang Su and Tianle Xiong and Hang Long}, title={BLER Analysis of OOK Edge-Detection Receivers in Ambient IoT}, proceedings={Communications and Networking. 20th EAI International Conference, ChinaCom 2025, Xi’an, China, November 8--9, 2025, Proceedings}, proceedings_a={CHINACOM}, year={2026}, month={10}, keywords={Ambient IoT On-Off Keying Edge detection}, doi={10.1007/978-3-032-33662-0_39} }- Rang Su
Tianle Xiong
Hang Long
Year: 2026
BLER Analysis of OOK Edge-Detection Receivers in Ambient IoT
CHINACOM
Springer
DOI: 10.1007/978-3-032-33662-0_39
Abstract
Ambient Internet of Things (A-IoT) devices operate by harvesting energy from environmental sources such as radio waves, light, or heat. Their extremely low energy budget mandates the use of simple communication architectures, predominantly On-Off Keying (OOK) demodulated by ultra-low-power, edge-detection-based receivers. However, the performance limits of these receivers, particularly in terms of block error rate (BLER), remain poorly understood. To address this research gap, we develop a novel theoretical framework based on level crossing rate theory, derive a BLER expression for OOK edge-detection receivers, and extend the analysis to Rayleigh fading channels. Our results are validated through Monte Carlo simulations, showing excellent agreement with a performance gap of less than 0.3 dB. This work provides a foundational analytical tool for the design and optimization of A-IoT systems, offering insights into the impact of key system parameters on receiver performance.