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Yongyang Li

dblp:290/7943 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2021
0000-0001-5194-3760ORCID · reported

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 · 100%
Theoretical computer science
1 paper
Mathematical optimization · 100%

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

TopicWeightPapersLastEvidence papers
Physical-layer communications › optical wireless communication
optical spatial modulation
0.512021
Precoded Optical Spatial Modulation for Indoor Visible Light Communications · IEEE Trans. Commun. 2021
Physical-layer communications › MIMO
precoding
0.512021
Precoded Optical Spatial Modulation for Indoor Visible Light Communications · IEEE Trans. Commun. 2021
Physical-layer communications › optical wireless communication
visible light communication
0.512021
Precoded Optical Spatial Modulation for Indoor Visible Light Communications · IEEE Trans. Commun. 2021
Mathematical optimization › nonconvex optimization
successive convex approximation
0.112021
Precoded Optical Spatial Modulation for Indoor Visible Light Communications · IEEE Trans. Commun. 2021

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

successive convex approximation · 1.0quadratically constrained quadratic program · 1.0error vector reduction · 1.0
YearPublicationVenuePosition
2021 Precoded Optical Spatial Modulation for Indoor Visible Light Communications
abstract
This paper proposes a precoded optical space-domain index modulation scheme for indoor visible light communications, which is based on the optimization of the minimum Euclidean distance of optical spatial modulation (OSM) with real-valued modulation constellations. We find that the precoding matrix design can be formulated as a non-convex quadratically constrained quadratic program (QCQP), whose solution is generally intractable. To tackle this problem, we first consider the case of two optical transmit antennas ( Nt= 2) in the precoded OSM and derive a closed-form solution for arbitrary M-order pulse amplitude modulation (PAM). Based on the derived solutions and the error vector reduction method, we then propose a low-complexity iterative (LCI) algorithm to identify the precoding matrix for the setup Nt> 2. To strike a flexible complexity-BER (bit error rate) tradeoff, we propose a successive convex approximation (SCA)-assisted matrix-based optimization method to transform the non-convex QCQP problem into a series of linear convex subproblems, which can be solved by low-complexity solvers. Simulation results show that these proposed algorithms are capable of substantially improving the system error performance compared with conventional OSM systems. Besides, a symbol-based SCA algorithm is introduced and it is shown to outperform the matrix-based SCA and the suboptimal LCI algorithm in terms of the BER.
Yongyang Li, Ping Yang 0005, Marco Di Renzo, Yue Xiao 0001, Ming Xiao 0001, Wei Xiang 0001
IEEE Trans. Commun.1