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Ruinian Wang

dblp:412/0889 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0000-5563-3022ORCID · 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 · 56% Vehicular, aerial and satellite networks · 22% Cellular and mobile networks · 22%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cellular and mobile networks
integrated sensing and communication
1.012026
Physical Layer Security Design and Performance Evaluation for 3D Communication-2D Sensing Enabled Spatial Separation and Interference Decoupling in ISAC-IoV Networks · IEEE J. Sel. Areas Commun. 2026
Vehicular, aerial and satellite networks › vehicular networks
internet of vehicles
1.012026
Physical Layer Security Design and Performance Evaluation for 3D Communication-2D Sensing Enabled Spatial Separation and Interference Decoupling in ISAC-IoV Networks · IEEE J. Sel. Areas Commun. 2026
Physical-layer communications
physical layer security
1.012026
Physical Layer Security Design and Performance Evaluation for 3D Communication-2D Sensing Enabled Spatial Separation and Interference Decoupling in ISAC-IoV Networks · IEEE J. Sel. Areas Commun. 2026
Physical-layer communications › physical layer security
secrecy rate maximization
1.012026
Physical Layer Security Design and Performance Evaluation for 3D Communication-2D Sensing Enabled Spatial Separation and Interference Decoupling in ISAC-IoV Networks · IEEE J. Sel. Areas Commun. 2026
Physical-layer communications › beamforming › MIMO beamforming
3d beamforming
0.312026
Physical Layer Security Design and Performance Evaluation for 3D Communication-2D Sensing Enabled Spatial Separation and Interference Decoupling in ISAC-IoV Networks · IEEE J. Sel. Areas Commun. 2026
Physical-layer communications
beamforming
0.312026
Physical Layer Security Design and Performance Evaluation for 3D Communication-2D Sensing Enabled Spatial Separation and Interference Decoupling in ISAC-IoV Networks · IEEE J. Sel. Areas Commun. 2026

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

non-convex optimization · 1.0joint optimization · 1.0hardware platform · 1.0
YearPublicationVenuePosition
2026 Physical Layer Security Design and Performance Evaluation for 3D Communication-2D Sensing Enabled Spatial Separation and Interference Decoupling in ISAC-IoV Networks
abstract
The growing demands for high-precision sensing and ultra-reliable low-latency communications in Internet of Vehicles (IoV) networks, coupled with increasingly congested spectrum resources, have driven integrated sensing and communication (ISAC) technologies toward millimeter-wave (mmWave) frequency bands. However, apart from the inherent openness of wireless channels, this transition exposes critical security gaps that the conventional physical layer security methods featured by communication interference struggle to mitigate: the cross-domain coupling interference between communication and sensing subsystems among vehicles, forming an emergent threat landscape in ISAC-IoV networks. Based on the fact that conventional forward-facing vehicular mmWave radars are typically equipped with horizontally oriented narrow beam, and have limitations in vertical resolution due to the utilization of 1D horizontally arranged antenna arrays, in this paper, we propose a 3D communication-2D sensing (Com3DSen2D) enabled spatial separation and interference decoupling framework. Furthermore, under the proposed Com3DSen2Dframework, to make a balance between sensing accuracy, communication reliability and security, we formulate a non-convex optimization problem of secrecy rate maximization through jointly optimizing 3D-BF design of communication subsystems and radar sensing power allocation of sensing subsystems, subject to the expected levels of sensing accuracy and communication reliability constraints. Experimental evaluations demonstrate that our joint optimization approach achieves significant performance gains over individual optimization benchmarks, yielding 25.3% and 57.8% improvements in secrecy rate compared to isolated 3D-BF optimization and radar sensing power allocation, respectively. Moreover, experimental results obtained from the hardware platform further validate the effectiveness of our proposed framework. This work establishes a comprehensive solution for coupling interference management and security enhancement in next-generation ISAC-IoV networks.
Kan Yu 0001, Ruinian Wang, Kaixuan Li 0008, Qixun Zhang, Zhiyong Feng 0001, Dong Li 0009
IEEE J. Sel. Areas Commun.2