VLDB 2026 Research / reviewers in the wild / expert
Jingyi Bai
dblp:422/8101
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2026
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 1 first-author · 1 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 · 61% Physical-layer communications · 39% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Internet of things and sensor networks
backscatter communication |
1.0 | 1 | 2026 | SubLoRa: High-Throughput LoRa Backscatter Communication · IEEE Trans. Mob. Comput. 2026 |
Physical-layer communications › modulation
chirp modulation |
1.0 | 1 | 2026 | SubLoRa: High-Throughput LoRa Backscatter Communication · IEEE Trans. Mob. Comput. 2026 |
Internet of things and sensor networks › backscatter communication
lora backscatter |
1.0 | 1 | 2026 | SubLoRa: High-Throughput LoRa Backscatter Communication · IEEE Trans. Mob. Comput. 2026 |
Physical-layer communications
modulation |
0.3 | 1 | 2026 | SubLoRa: High-Throughput LoRa Backscatter Communication · IEEE Trans. Mob. Comput. 2026 |
Methods — techniques the papers use, named apart from their topics
subchirp frequency offset modulation · 1.0frequency-difference recombination of chirp · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | SubLoRa: High-Throughput LoRa Backscatter CommunicationabstractAmbient LoRa backscatter enables long-range communication due to its long-period symbol. Most of the existing works struggle to balance range and throughput: systems with symbol-level modulation offers long transmission range at the cost of low data rate, while systems with high modulation efficiency suffer from limited transmission distance due to weak signals. We propose SubLoRa, which significantly improves throughput while maintaining long-range communication. SubLoRa achieves the high-rate modulation by the proposed Subchirp Frequency Offset Modulation (SFOM), which divides a chirp into multiple subchirps each being shifted by frequency. We propose a prewaveform sampling strategy that enables SFOM with low power. For decoding, we propose a Frequency-Difference Recombination of Chirp (FDRC) demodulation based on time-domain correlation, which enables reliable decoding of low-power signals in long-range links. We implement SubLoRa and conduct extensive evaluation. The results show SubLoRa can achieve up to 29.66× throughput gain and 7.54× throughput gain compared with the State-Of-The-Art (SOTA) LoRa backscatter system PLoRa and Pacim, respectively. Jingyi Bai, Caihui Du, Jihong Yu, Ju Ren 0001, Haipeng Yao |
IEEE Trans. Mob. Comput. | 1 |