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Boxin Hou

dblp:383/6181 · DBLP profile ↗
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2ranked-venue papers
2as first author
2since 2021 · last 2026
—ORCID · none

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

Computer networks · 2 · 2 first-author · 2 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
1 paper
Internet of things and sensor networks · 56% Wireless sensing and localization · 44%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wireless sensing and localization
backscatter localization
0.812024
LoBaCa: Super-Resolution LoRa Backscatter Localization for Low-Cost Tags · INFOCOM 2024
Internet of things and sensor networks › backscatter communication
lora backscatter
0.812024
LoBaCa: Super-Resolution LoRa Backscatter Localization for Low-Cost Tags · INFOCOM 2024
Internet of things and sensor networks
lora networks
0.212024
LoBaCa: Super-Resolution LoRa Backscatter Localization for Low-Cost Tags · INFOCOM 2024

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

phase error correction · 0.8frequency hopping · 0.8ESPRIT · 0.8
YearPublicationVenuePosition
2026 Channel-Adaptive Physical Layer Neural-enhanced Encoding for Concurrent LPWANs
Boxin Hou, Jiliang Wang
SECON1
2024 LoBaCa: Super-Resolution LoRa Backscatter Localization for Low-Cost Tags
abstract
Long-range(LoRa) backscatter has shown great potential in many applications. However, the narrow bandwidth of LoRa and the unstable backscatter tag make localization challenging in practice. This paper presents LoBaCa, the first super-resolution LoRa backscatter localization system for low-cost tags. To increase the overall bandwidth, LoBaCa utilizes the frequency hopping technique and exploits the phase slope to synchronize multiple frequency bands. We further show that the unstable low-cost backscatter tag causes additional phase error in the weak backscatter signal and thus introduces significant localization error. We use the upper and lower sideband signals to improve the SNR and correct the phase error. Finally, LoBaCa adopts a super-resolution ESPRIT algorithm to solve the complex multipath effect, estimate the angle of arrival (AoA), and localize the backscatter tag. We prototype LoBaCa and conduct extensive experiments to evaluate LoBaCa in both indoor and outdoor scenarios. Our results show that the localization error of LoBaCa is 5.0 cm and 71 cm when the LoBaCa tag is 5m and 40m away, which is 4.3× and 1.7× better than the state-of-the-art.
Boxin Hou, Jiliang Wang
INFOCOM1