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Jianyu Luo

dblp:99/8588 · DBLP profile ↗
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3ranked-venue papers
0as first author
3since 2021 · last 2025
0009-0005-0439-9527ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 3 · 3 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
3 papers
Internet of things and sensor networks · 76% Physical-layer communications · 15% Cellular and mobile networks · 9%
Computer architecture, parallel and distributed computing, and storage systems
3 papers
Integrated circuit design · 87% Energy-efficient computing · 13%

Topics — the 4 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Internet of things and sensor networks
backscatter communication
2.632025
Demo: ASIC-based Concurrent Backscatter Networks · MobiCom 2025
NanoScatter: Towards Ambient IoT · MobiCom 2025
Wook: Enabling High-Throughput Wi-Fi Downlink with Ultra-Low Power · MobiCom 2025
Internet of things and sensor networks › iot networks
ambient iot
1.722025
Demo: ASIC-based Concurrent Backscatter Networks · MobiCom 2025
NanoScatter: Towards Ambient IoT · MobiCom 2025
Physical-layer communications › modulation › index modulation
sub-symbol modulation
0.912025
Wook: Enabling High-Throughput Wi-Fi Downlink with Ultra-Low Power · MobiCom 2025
Cellular and mobile networks
6g
0.522025
Demo: ASIC-based Concurrent Backscatter Networks · MobiCom 2025
NanoScatter: Towards Ambient IoT · MobiCom 2025

Methods — techniques the papers use, named apart from their topics

wake-up receiver · 3.5modulation · 3.5OOK modulation · 1.7OFDM waveform manipulation · 1.7
YearPublicationVenuePosition
2025 Wook: Enabling High-Throughput Wi-Fi Downlink with Ultra-Low Power
abstract
The Wi-Fi-enabled ultra-low power communication system exhibits high asymmetry between uplink and downlink speeds. The uplink can reach up to 1 Mbps, while the downlink throughput is around 100 Kbps. In this paper, we present Wook, a novel high throughput downlink system to empower Commercial Off-The-Shelf (COTS) Wi-Fi devices to transmit high-speed OOK messages. The key innovation underpinning Wook is its ability to achieve sub-symbol level modulation, allowing a single OFDM symbol to carry multiple OOK bits. This is done by profoundly exploring the Wi-Fi PHY layer and identifying optimal input payload to achieve fine-grained Wi-Fi waveform manipulation. We fabricate a PCB prototype and employ the COTS Wi-Fi router to implement the entire system. Experimental results show that with a simulated IC power consumption 76.6μW, Wook achieves a data rate of up to 1.1 Mbps, an 8.9X improvement over state-of-the-art systems. Moreover, even at a communication distance of 95 m, Wook maintains a throughput of 82.9 Kbps.
Zeming Yang, Linling Zhong, Fengyuan Zhu 0001, Jiazhen Lei, Jianyu Luo, Meng Jin 0002, Xiaohua Tian
MobiCom7
2025 NanoScatter: Towards Ambient IoT
abstract
Ambient IoT (A-IoT) aims to connect hundreds of billions of ultra-low-power and battery-free devices, which has been included in the agenda for 6G standardization by 3GPP. Backscatter communication is considered the mainstream enabling technique for A-IoT; however, current state-of-the-art can hardly meet A-IoT's main technical requirements simultaneously: power consumption below 100 μW, communication ranges up to 100 m, and 100+ concurrency. This paper presents NanoScatter, the first backscatter network with each tag implemented using our customized backscatter communication ASIC. We propose a nanowatt wake-up receiver design and a sensitivity-driven downlink/uplink modulation mechanism to carry out the ASIC, which enables minimizing the tag's power consumption and long-range communication. NanoScatter supports concurrent communication of 6 IC-based tags with a subcarrier capacity of 512, achieving communication distances of 66 m indoors and 100 m outdoors. The tag consumes 1 μW in idle listening, with the core circuit using 58 nW and 43 μW during communication.
Fengyuan Zhu 0001, Jiaqi Shen, Jianyu Luo, Renjie Zhao 0001, Linling Zhong, Xiaohua Tian
MobiCom4
2025 Demo: ASIC-based Concurrent Backscatter Networks
abstract
Ambient IoT (A-IoT) targets battery-free, ultra-low-power connectivity for massive devices, which has been a key focus in 6G standardization by 3GPP. While backscatter communication enables A-IoT, existing solutions struggle to meet its core demands simultaneously: power consumption below 100 μW, communication ranges up to 100 m, and 100+ concurrency. In this demo, we present NanoScatter, the first backscatter network with each tag implemented using our customized backscatter communication ASIC. We propose a nanowatt wake-up receiver design and a sensitivity-driven downlink/uplink modulation mechanism to carry out the ASIC, which enables minimizing the tag's power consumption and long-range communication. NanoScatter supports concurrent communication of 6 IC-based tags with a subcarrier capacity of 512, achieving communication distances of 66 m indoors and 100 m outdoors. The tag consumes 1 μW in idle listening, with the core circuit using 58 nW and 43 μW during communication.
Fengyuan Zhu 0001, Jiaqi Shen, Jianyu Luo, Renjie Zhao 0001, Linling Zhong, Xiaohua Tian
MobiCom4