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Fanghua Li

dblp:26/9543 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2026
—ORCID · conflict

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
Physical-layer communications · 80% Wireless networking · 20%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wireless networking › random access
device activity detection
1.012026
Synchronization, Identification, and Signal Detection for Underwater Photon-Counting Communications With Input-Dependent Shot Noise · IEEE Trans. Commun. 2026
Physical-layer communications › signal detection › multiuser detection
iterative multiuser detection
1.012026
Synchronization, Identification, and Signal Detection for Underwater Photon-Counting Communications With Input-Dependent Shot Noise · IEEE Trans. Commun. 2026
Physical-layer communications › signal detection
multiuser detection
1.012026
Synchronization, Identification, and Signal Detection for Underwater Photon-Counting Communications With Input-Dependent Shot Noise · IEEE Trans. Commun. 2026
Physical-layer communications
optical wireless communication
1.012026
Synchronization, Identification, and Signal Detection for Underwater Photon-Counting Communications With Input-Dependent Shot Noise · IEEE Trans. Commun. 2026
Physical-layer communications
synchronization
1.012026
Synchronization, Identification, and Signal Detection for Underwater Photon-Counting Communications With Input-Dependent Shot Noise · IEEE Trans. Commun. 2026

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

poisson shot noise modeling · 1.0maximum a posteriori probability detection · 1.0
YearPublicationVenuePosition
2026 Synchronization, Identification, and Signal Detection for Underwater Photon-Counting Communications With Input-Dependent Shot Noise
abstract
Photon counting (PhC) is an effective detection technology for underwater optical wireless communication (OWC) systems. The presence of signal-dependent Poisson shot noise and asynchronous multi-user interference (MUI) complicates the processing of received data signals, hindering the effective signal detection of PhC OWC systems. This paper proposes a novel iterative signal detection method in grant-free, multi-user, underwater PhC OWC systems with signal-dependent Poisson shot noise. We first introduce a new synchronization algorithm with a unique frame structure design. The algorithm performs active user identification and transmission delay estimation. Specifically, the estimation is performed first on a user group basis and then at the individual user level with reduced complexity and latency.We also develop a nonlinear iterative multi-user detection (MUD) algorithm that utilizes a detection window for each user to identify interfering symbols and estimate MUI on a slot-by-slot basis, followed by maximuma-posterioriprobability detection of user signals. Simulations demonstrate that our scheme achieves bit error rates comparable to scenarios with transmission delays known and signal detection perfectly synchronized.
Fanghua Li, Wei Ni 0001, Xin Wang 0003, Dusit Niyato, Ekram Hossain 0001
IEEE Trans. Commun.1