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Yin Teng

dblp:272/5220 · DBLP profile ↗
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3ranked-venue papers
1as first author
3since 2021 · last 2022
0009-0003-1254-6705ORCID · corroborated

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

Applied, interdisciplinary, general and emerging computing · 2 · 1 first-author · 2 since 2021Computer 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
3 papers
Physical-layer communications · 88% Network optimization and economics · 12%
Network and information security
1 paper
Cryptographic protocols and secure computation · 100%

Topics — the 9 heaviest of 10, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications
beamforming
0.612022
Low-complexity and high-performance receive beamforming for secure directional modulation networks against an eavesdropping-enabled full-duplex attacker · Sci. China Inf. Sci. 2022
Physical-layer communications › signal processing for communications › array signal processing
direction-of-arrival estimation
0.612022
Fast ambiguous DOA elimination method of DOA measurement for hybrid massive MIMO receiver · Sci. China Inf. Sci. 2022
Physical-layer communications › beamforming
beamforming design
0.512021
Enhanced Secrecy Rate Maximization for Directional Modulation Networks via IRS · IEEE Trans. Commun. 2021
Physical-layer communications › physical layer security
directional modulation
0.512021
Enhanced Secrecy Rate Maximization for Directional Modulation Networks via IRS · IEEE Trans. Commun. 2021
Physical-layer communications
physical layer security
0.512021
Enhanced Secrecy Rate Maximization for Directional Modulation Networks via IRS · IEEE Trans. Commun. 2021
Physical-layer communications
reconfigurable intelligent surface
0.512021
Enhanced Secrecy Rate Maximization for Directional Modulation Networks via IRS · IEEE Trans. Commun. 2021
Network optimization and economics
resource allocation
0.512021
Enhanced Secrecy Rate Maximization for Directional Modulation Networks via IRS · IEEE Trans. Commun. 2021
Physical-layer communications › physical layer security
secrecy rate maximization
0.512021
Enhanced Secrecy Rate Maximization for Directional Modulation Networks via IRS · IEEE Trans. Commun. 2021
Physical-layer communications › MIMO
massive MIMO
0.212022
Fast ambiguous DOA elimination method of DOA measurement for hybrid massive MIMO receiver · Sci. China Inf. Sci. 2022

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

null space projection · 1.0alternating optimization · 1.0ambiguity elimination · 0.6DOA measurement · 0.6
YearPublicationVenuePosition
2022 Fast ambiguous DOA elimination method of DOA measurement for hybrid massive MIMO receiver
Baihua Shi, Xinyi Jiang 0001, Nuo Chen 0005, Yin Teng, Jinhui Lu, Feng Shu 0002, Kingsley J. Zou, Jun Li 0004, Jiangzhou Wang
Sci. China Inf. Sci.4
2022 Low-complexity and high-performance receive beamforming for secure directional modulation networks against an eavesdropping-enabled full-duplex attacker
Yin Teng, Mengxing Huang, Guiyang Xia, Xiaobo Zhou 0004, Feng Shu 0002, Jiangzhou Wang
Sci. China Inf. Sci.1
2021 Enhanced Secrecy Rate Maximization for Directional Modulation Networks via IRS
abstract
Intelligent reflecting surface (IRS) is of low-cost and energy-efficiency and will be a promising technology for the future wireless communications like sixth generation. To address the problem of conventional directional modulation (DM) that Alice only transmits single confidential bit stream (CBS) to Bob with multiple antennas in a line-of-sight channel, IRS is proposed to create friendly multipaths for DM such that two CBSs can be transmitted from Alice to Bob. This will significantly enhance the secrecy rate (SR) of DM. To maximize the SR (Max-SR), a general non-convex optimization problem is formulated with the unit-modulus constraint of IRS phase-shift matrix (PSM), and the general alternating iterative (GAI) algorithm is proposed to jointly obtain the transmit beamforming vectors (TBVs) and PSM by alternately optimizing one and fixing another. To reduce its high complexity, a low-complexity iterative algorithm for Max-SR is proposed by placing the constraint of null-space (NS) on the TBVs, called NS projection (NSP). Here, each CBS is transmitted separately in the NSs of other CBS and AN channels. Simulation results show that the SRs of the proposed GAI and NSP can approximately double that of IRS-based DM with single CBS for massive IRS in the high signal-to-noise ratio region.
Feng Shu 0002, Yin Teng, Mengxing Huang, Weiping Shi, Jun Li 0004, Yongpeng Wu 0001, Jiangzhou Wang
IEEE Trans. Commun.2