Demo Data from VLDB 2026 / reviewers in the wild / expert
Jingze Zheng
dblp:397/3343
· DBLP profile ↗
4ranked-venue papers
3as first author
4since 2021 · last 2026
0009-0007-8756-3867ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 4 · 3 first-author · 4 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
2 papers |
Physical-layer communications · 56% Cellular and mobile networks · 28% Internet of things and sensor networks · 17% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cellular and mobile networks › machine-type communication
NB-IoT |
1.8 | 2 | 2026 | SoftNB: Design and Implementation of an NB-IoT PHY Software-Defined Radio · IEEE Trans. Netw. 2026 SoftNB: A Fully Functional NB-IoT PHY for Various SDR Platforms · ICNP 2024 |
Physical-layer communications
software-defined radio |
1.8 | 2 | 2026 | SoftNB: Design and Implementation of an NB-IoT PHY Software-Defined Radio · IEEE Trans. Netw. 2026 SoftNB: A Fully Functional NB-IoT PHY for Various SDR Platforms · ICNP 2024 |
Internet of things and sensor networks
LPWAN |
1.1 | 2 | 2026 | SoftNB: A Fully Functional NB-IoT PHY for Various SDR Platforms · ICNP 2024 SoftNB: Design and Implementation of an NB-IoT PHY Software-Defined Radio · IEEE Trans. Netw. 2026 |
Physical-layer communications
physical layer |
1.0 | 1 | 2026 | SoftNB: Design and Implementation of an NB-IoT PHY Software-Defined Radio · IEEE Trans. Netw. 2026 |
Physical-layer communications
physical layer implementation |
0.8 | 1 | 2024 | SoftNB: A Fully Functional NB-IoT PHY for Various SDR Platforms · ICNP 2024 |
Methods — techniques the papers use, named apart from their topics
time/frequency/phase offset mitigation · 1.0software-defined radio · 1.0signal processing pipeline · 0.8offset mitigation · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | SoftNB: Design and Implementation of an NB-IoT PHY Software-Defined RadioabstractIn recent years, there has been a growing focus on developing Low Power Wide Area Network (LPWAN) protocols, especially within the LoRa research community. However, the research community for NB-IoT, another crucial LPWAN technology, has not experienced comparable expansion due to the absence of a functional and adaptable software-defined radio (SDR) implementation. To address this gap, we present SoftNB, the first fully functional physical layer SDR implementation for NB-IoT. SoftNB conforms to the latest 3GPP standards and features an efficient and effective signal processing pipeline to mitigate time, frequency, and phase offsets during transmission and reception. Additionally, SoftNB is compatible with various SDR platforms, including USRP, HackRF One, and RTL-SDR Dongle. Extensive evaluations of SoftNB demonstrate its superior performance. Compared to the state-of-the-art baseline, SoftNB achieves an 8× reduction in Block Error Rate (BLER) when the number of repetitions is set to 4 at a distance of 450 meters. Jingze Zheng, Chaojie Gu, Yuanchao Shu, Xiuzhen Guo, Shibo He, Jiming Chen 0001, Guohui Shen |
IEEE Trans. Netw. | 1 |
| 2026 | Efficient Sim2Real Deep Learning for Device-Specific OFDM Frequency Offset Calibration
Chaojie Gu, Jingze Zheng, Yichuan Yang, Shibo He, Zhiguo Shi 0001 |
IEEE Trans. Wirel. Commun. | 2 |
| 2025 | Sim2Real Deep Transfer for Per-Device CFO Calibration
Jingze Zheng, Zhiguo Shi 0001, Shibo He, Chaojie Gu |
GLOBECOM | 1 |
| 2024 | SoftNB: A Fully Functional NB-IoT PHY for Various SDR PlatformsabstractThe design of Low Power Wide Area Network (LPWAN) protocols has attracted increasing attention in recent years, particularly within the LoRa research community. However, NB-IoT, another critical LPWAN technology, has not seen similar growth in its research community due to the lack of a functional and flexible software-defined radio (SDR) implementation. To address this gap, we present SoftNB, the first fully functional physical layer SDR implementation for NB-IoT. SoftNB conforms to the latest 3GPP standards and features an efficient and effective signal processing pipeline to mitigate time, frequency, and phase offsets during transmission and reception. Additionally, SoftNB is compatible with various SDR platforms, including USRP, HackRF One, and RTL-SDR Dongle. Extensive evaluations of SoftNB demonstrate its superior performance. Compared to the state-of-the-art baseline, SoftNB achieves an$8\times$reduction in Block Error Rate (BLER) when the number of repetitions is set to 4 at a distance of 450 meters. Jingze Zheng, Chaojie Gu, Yuanchao Shu, Xiuzhen Guo, Shibo He, Zhiguo Shi 0001, Jiming Chen 0001 |
ICNP | 1 |