Yaping Hu

dblp:72/8625 · DBLP profile ↗
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4ranked-venue papers
1as first author
2since 2021 · last 2026
—ORCID · conflict

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

Artificial intelligence and machine learning · 2 · 1 since 2021Computer networks · 1Applied, interdisciplinary, general and emerging computing · 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
Physical-layer communications · 100%

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

TopicWeightPapersLastEvidence papers
Physical-layer communications › error probability analysis
bit error rate analysis
0.412020
Performance Analysis of Uplink Massive Multiuser SM-MIMO System With Imperfect Channel State Information · IEEE Trans. Commun. 2020
Physical-layer communications
MIMO
0.412020
Performance Analysis of Uplink Massive Multiuser SM-MIMO System With Imperfect Channel State Information · IEEE Trans. Commun. 2020
Physical-layer communications › MIMO
spatial modulation
0.412020
Performance Analysis of Uplink Massive Multiuser SM-MIMO System With Imperfect Channel State Information · IEEE Trans. Commun. 2020
Physical-layer communications › MIMO
massive MIMO
0.112020
Performance Analysis of Uplink Massive Multiuser SM-MIMO System With Imperfect Channel State Information · IEEE Trans. Commun. 2020

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

zero-forcing detection · 0.4asymptotic analysis · 0.4
YearPublicationVenuePosition
2026 A novel knowledge graph-based identification method for key quality characteristics of complex products
Peihan Wen, Yaping Hu, Lizhu Tao
Expert Syst. Appl.3
2026 A Knowledge-Augmented Multistage Reasoning Approach for Wind Turbine Fault Cause Analysis
Yaping Hu, Peihan Wen, Yujie Dai
IEEE Trans. Ind. Informatics1
2020 Performance Analysis of Uplink Massive Multiuser SM-MIMO System With Imperfect Channel State Information
abstract
In this paper, the error performance and spectrum efficiency (SE) of uplink massive multiuser spatial modulation (SM) MIMO systems with zero-forcing detection for perfect and imperfect channel state information (CSI) are investigated over composite Rayleigh fading channels. We firstly derive the error probabilities of transmit antenna index detection and transmitted symbol detection of each user. Using these results, the bit error rate (BER) performance of the system under perfect CSI is analyzed. Furthermore, a closed-form average BER of the system is derived. We generalize the analytical results of perfect CSI to those of imperfect CSI for practicality, and derive a closed-form BER for the system with imperfect CSI. Based on this, two asymptotic BER expressions are developed to characterize the error performance of the system for large-scale receive antennas and high SNR. By means of the asymptotic expressions, the diversity order of the system is attained. Besides, we derive a lower bound on the achievable SE of the system with imperfect CSI. With this lower bound, an approximate expression of the achievable SE is obtained in closed form. Simulation results indicate that our theoretical analysis is valid, and agrees with simulation results well.
Xiangbin Yu 0001, Yaping Hu, Guan Gui 0001, Shu Hung Leung, WeiYe Xu, Qiyishu Li
IEEE Trans. Commun.2
2018 Global and local learning from positive and unlabeled examples
Ting Ke, Ling Jing, Yaping Hu
Appl. Intell.5