Fengyuan Zhu（朱丰源）

Postdoctoral Researcher
School of Computer Science (School of Cyberspace Security, School of Cryptography)
Shanghai Jiao Tong University

Email: jsqdzhufengyuan@sjtu.edu.cn
WeChat: zfyskywalker

About

I am a researcher working on near-zero-power IoT systems, focusing on ultra-low-power wireless communication under μW-level energy constraints. My work spans system architecture, communication protocols, and chip-level implementation for near-zero-power IoT.

I received my Ph.D. from Shanghai Jiao Tong University under the supervision of Prof. Xiaohua Tian.

Research Interests

• Near-zero-power wireless communication
• Ultra-low-power IoT systems (<10μW)
• Backscatter communication
• Cross-layer system design

Selected Publications

[ACM MobiCom'25] Fengyuan Zhu, J. Shen, W. Li, J. Luo, R. Zhao, L. Zhong, B. Wang, X. Tian, "NanoScatter: Towards Ambient IoT", in Proc. ACM MobiCom 2025

[IEEE/ACM TON'25] Fengyuan Zhu, J. He, J. Lin, Y. Qin, B. Wang, Q. Di, M. Jin, and X. Tian, "Inductor-free LoRa Backscatter", IEEE/ACM Transactions on Networking, 2025

[ISSCC'24] J. Shen*, Fengyuan Zhu* (co-primary), Y. Liu, B. Liu, L. Xu, C. Shi, L. Huang, Xiaohua Tian, R. Zhang, “A 44μW IoT Tag Enabling 1μs Synchronization Accuracy and OFDMA Concurrent Communication with Software-Defined Modulation,” ISSCC 2024

[IEEE/ACM TON'23] Fengyuan Zhu, R. Zhao, B. Wang, X. Tian, X. Wang, X. Guan, C. Zhou, "Enabling OFDMA in Wi-Fi Backscatter," IEEE/ACM Transactions on Networking, 2023

Publications

Journal

[IEEE/ACM TON'25] Fengyuan Zhu, J. He, J. Lin, Y. Qin, B. Wang, Q. Di, M. Jin, and X. Tian, "Inductor-free LoRa Backscatter", IEEE Transactions on Networking, 2025 [Link]

[IEEE/ACM TON'23] Fengyuan Zhu, R. Zhao, B. Wang, X. Tian, X. Wang, X. Guan, C. Zhou, "Enabling OFDMA in Wi-Fi Backscatter," IEEE/ACM Transactions on Networking, 2023 [Link]

[IEEE/ACM TON'23] X. Tian, Fengyuan Zhu, H. Li, M. Ouyang, L. Feng, X. Tong, X. Wang, "MobiScatter: Enhancing Capacity in Drone Assisted High-Concurrency Backscatter Networks," IEEE/ACM Transactions on Networking, 2023 [Link]

[IEEE TMC'24] B. Wang, Fengyuan Zhu, L. Zhong, M. Jin, X. Wang, C. Chen, X. Guan, C. Zhou, Xiaohua Tian, "Enabling Dual-Band Wi-Fi Backscatter," IEEE Transactions on Mobile Computing, 2024 [Link]

Conference

[ACM MobiCom'25] (NEW!) Fengyuan Zhu, J. Shen, W. Li, J. Luo, R. Zhao, L. Zhong, B. Wang, X. Tian, "NanoScatter: Towards Ambient IoT", in Proc. MobiCom 2025 [PDF]

[ACM MobiCom'24] M. Xie, M. Jin, Fengyuan Zhu, Y. Zhang, X. Tian, X. Wang, and C. Zhou. "Enabling High-rate Backscatter Sensing at Scale." In Proc. ACM MobiCom 2024

[ACM MobiSys'24] B. Wang, Fengyuan Zhu, Wenhui Li, Z. Yang, M. Jin, and Xiaohua Tian. "Frequency-agile OFDM Backscatter." In Proc. ACM MobiSys 2024

[ISSCC'24] J. Shen*, Fengyuan Zhu* (co-primary), Y. Liu, B. Liu, L. Xu, C. Shi, L. Huang, Xiaohua Tian, R. Zhang, “A 44μW IoT Tag Enabling 1μs Synchronization Accuracy and OFDMA Concurrent Communication with Software-Defined Modulation,” ISSCC 2024 [PDF]

[ACM SenSys'23] R. Ding, H. Jin, J. Ding, X. Wang, G. Fan, Fengyuan Zhu, X. Tian, L. Kong, "Push the Limit of Single-Chip mmWave Radar-Based Egomotion Estimation with Moving Objects in FoV", in Proc. ACM SenSys 2023 [PDF]

[ACM MobiSys'23] L. Zhong, M. Ouyang, Fengyuan Zhu, M. Jin, X. Wang, X. Guan, C. Zhou, X. Tian, "SmartShell: A Near-Field Reflective Surface Enhancing RSS", in Proc. ACM MobiSys 2023 [PDF]

[ACM SenSys'22] Fengyuan Zhu, L. Feng, X. Tian, M. Jin, X. Wang, "Towards Ultra-low Power OFDMA Downlink Demodulation," in Proc. ACM SenSys 2022 [PDF]

[ACM MobiSys'22] Fengyuan Zhu, M. Ouyang, L. Feng, Y. Liu, X. Tian, M. Jin, D. Chen, X. Wang, "Enabling Software-defined PHY in Backscatter Networks," in Proc. ACM MobiSys 2022 [PDF]

[ACM MobiSys'20] Fengyuan Zhu, Y. Feng, Q. Li, X. Tian, X. Wang, "DigiScatter: Efficiently Prototyping Large-Scale OFDMA Backscatter Networks," in Proc. ACM MobiSys 2020 [PDF]

[ACM MobiCom'19] R. Zhao, Fengyuan Zhu, Y. Feng, S. Peng, X. Tian, H. Yu, X. Wang, “OFDMA-Enabled Wi-Fi Backscatter,”in Proc. ACM MobiCom 2019 [PDF]

[ACM UbiComp'19] X. Tong, Fengyuan Zhu, Y. Wan, X. Tian and X. Wang, “Batch Localization based on OFDMA Backscatter,” in Proc. ACM UbiComp 2019 [PDF]

Selected Systems (under construction)

• NanoScatter IC and system for 3GPP Ambient IoT (44μW power with 1μs-synchronization-accuracy OFDMA)
• Near-zero-power OFDMA uplink and downlink networks
• Software-defined PHY for heterogeneous backscatter networks

Academic Services

[2019-now] Reviewer for IEEE/ACM TON, TMC, TWC, TCOM, TVT

[ICCC 2025] Session Chair, IoT Communication Track

Awards

• CWSN Best Paper Award (2024)
• National Scholarship (2023)

[2026.03] MobiCom 2025 "NanoScatter" selected as Research Highlight in ACM SIGMOBILE GetMobile (coming soon)

[CIC 2025] Doctoral Dissertation “RESEARCH ON KEY TECHNOLOGIES OF NEAR-ZERO-POWER INTERNET OF THINGS” selected for the China Institute of Communications (CIC) Doctoral Dissertation Incentive Program (Top 10 nationwide)

[Top Tech Advances] Recognized as one of the “Top 10 IoT Technological Advances” by China Institute of Electronics / China Institute of Communications (2nd contributor)

[CICC Award] First Prize of Technical Invention Award, Chinese Institute of Command and Control (CICC) (2nd contributor)

[Challenge Cup] Grand Prize, 17th “Challenge Cup” Shanghai Undergraduate Extracurricular Academic Competition (1st contributor)