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Yuyue Luo

dblp:217/4680 · DBLP profile ↗
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3ranked-venue papers
3as first author
0since 2021 · last 2019
0000-0002-1994-2650ORCID · corroborated

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

Computer networks · 3 · 3 first-author

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 · 75% Cellular and mobile networks · 25%

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

TopicWeightPapersLastEvidence papers
Physical-layer communications
beamforming
0.412019
Optimization and Quantization of Multibeam Beamforming Vector for Joint Communication and Radio Sensing · IEEE Trans. Commun. 2019
Cellular and mobile networks
integrated sensing and communication
0.412019
Optimization and Quantization of Multibeam Beamforming Vector for Joint Communication and Radio Sensing · IEEE Trans. Commun. 2019
Physical-layer communications › beamforming
multibeam beamforming
0.412019
Optimization and Quantization of Multibeam Beamforming Vector for Joint Communication and Radio Sensing · IEEE Trans. Commun. 2019
Physical-layer communications › signal processing for communications
quantization
0.412019
Optimization and Quantization of Multibeam Beamforming Vector for Joint Communication and Radio Sensing · IEEE Trans. Commun. 2019

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

joint quantization · 0.4codebook design · 0.4beamforming vector optimization · 0.4
YearPublicationVenuePosition
2019 Constrained Multibeam Optimization for Joint Communication and Radio Sensing
abstract
Multibeam technology has recently been proposed for joint communication and radio sensing (JCAS) in millimeter wave systems using analog antenna arrays. Generation of the multibeam satisfying both communication and sensing requirements is yet to be developed. In this paper, we develop closed-form solutions for optimizing the coefficient that combines communication and sensing subbeams to generate a multibeam. Our solutions maximize the received signal power for communication, in the cases (1) without constraint on sensing beamforming (BF) waveform, (2) with minimum BF gain constraints on discrete sensing directions, and (3) with a minimum total power constraint on a range of sensing directions. Simulation results are provided and validate the effectiveness of the proposed solutions.
Yuyue Luo, Jian (Andrew) Zhang, Wei Ni 0001, Xiaojing Huang 0001
GLOBECOM1
2019 Quantization with Combined Codebook for Hybrid Array using Two-Phase-Shifter Structure
abstract
We propose a novel joint quantization scheme for hybrid antenna array systems using the two-phase-shifter (2-PS) structure, where two phase shifters are combined to represent one beamforming weight. Conventional quantization using a single phase shifter for each beamforming weight cannot represent the magnitude. We propose a new codebook design that combines the two codebooks of the two phase shifters in the recently proposed 2-PS structure. We also study the scaling problem of the beamforming vector and propose a low-complexity searching algorithm for finding a near-optimal scalar based on element-wise quantization. The mean squared quantization error and signal-to-noise ratio (SNR) degradation are derived analytically. Simulation results validate the accuracy of the analytical results and the effectiveness of the proposed quantization methods.
Yuyue Luo, Jian (Andrew) Zhang, Shaode Huang, Xiaojing Huang 0001
ICC1
2019 Optimization and Quantization of Multibeam Beamforming Vector for Joint Communication and Radio Sensing
abstract
Joint communication and radio sensing (JCAS) in millimeter-wave (mmWave) systems requires the use of a steerable beam. For analog antenna arrays, a single beam is typically used, which limits the sensing area within the direction of the communication. Multibeam technology can overcome this limitation by separately generating package-level direction-varying sensing subbeams and fixed communication subbeams and then combine them coherently. In this paper, we investigate the optimal combination of the two subbeams and the quantization of the beamforming (BF) vector that generates the combined beam. When either the full channel matrix or only the angle of departure (AoD) of the dominating line-of-sight (LOS) path is known at the transmitter, we derive the closed-form expressions for the optimal combining coefficients that maximize the received communication signal power. For the quantization of the BF vector, we focus on the two-phase-shifter array where two phase shifters are used to represent each BF weight. We propose novel joint quantization methods by combining the codebooks of the two phase shifters. The mean squared quantization error is derived for various quantization methods. Extensive simulation results validate the accuracy of the analytical results and the effectiveness of the proposed multibeam optimization and joint quantization methods.
Yuyue Luo, Jian (Andrew) Zhang, Xiaojing Huang 0001, Wei Ni 0001
IEEE Trans. Commun.1