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Guohui Shen

dblp:288/2315 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0006-2034-8639ORCID · reported

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

Computer networks · 1 · 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
Physical-layer communications · 61% Cellular and mobile networks · 30% Internet of things and sensor networks · 9%

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

TopicWeightPapersLastEvidence papers
Cellular and mobile networks › machine-type communication
NB-IoT
1.012026
SoftNB: Design and Implementation of an NB-IoT PHY Software-Defined Radio · IEEE Trans. Netw. 2026
Physical-layer communications
physical layer
1.012026
SoftNB: Design and Implementation of an NB-IoT PHY Software-Defined Radio · IEEE Trans. Netw. 2026
Physical-layer communications
software-defined radio
1.012026
SoftNB: Design and Implementation of an NB-IoT PHY Software-Defined Radio · IEEE Trans. Netw. 2026
Internet of things and sensor networks
LPWAN
0.312026
SoftNB: Design and Implementation of an NB-IoT PHY Software-Defined Radio · IEEE Trans. Netw. 2026

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

time/frequency/phase offset mitigation · 1.0software-defined radio · 1.0
YearPublicationVenuePosition
2026 SoftNB: Design and Implementation of an NB-IoT PHY Software-Defined Radio
abstract
In 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.8