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Jhe-Yi Lin
National Taiwan University
GaussianCovarianceMIMOBeamformingReal-time computing
2Publications
1H-index
2Citations
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Publications 3
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Sep 1, 2019 in VTC (Vehicular Technology Conference)
#1Jhe-Yi Lin (NTU: National Taiwan University)H-Index: 1
#2Hsuan-Jung Su (NTU: National Taiwan University)H-Index: 18
Last. Yasuhiro Takano (Kobe University)H-Index: 2
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Massive multiple-input multiple-output (MIMO) will be an important ingredient in millimeter-wave (mmWave) cellular communication systems. A natural application of massive MIMO is simultaneous transmission to multiple users. Unfortunately, the hardware constraints in massive MIMO make it difficult to apply the conventional fully digital beamforming techniques, especially in the mmWave bands. Thus hybrid beamforming (HB) in which the overall beamformer consists of a low-dimensional digital beamfor...
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#1Jhe-Yi Lin (NTU: National Taiwan University)H-Index: 1
#2Ronald Y. Chang (CIT: Center for Information Technology)H-Index: 12
Last. Hsuan-Jung Su (NTU: National Taiwan University)H-Index: 18
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For rate optimization in interference limited networks, improper Gaussian signaling has shown its ability to outperform conventional proper Gaussian signaling. In this paper, we study a weighted sum-rate maximization problem with improper Gaussian signaling for the multiple-input multiple-output interference broadcast channel. To solve this nonconvex and NP-hard problem, we propose an effective separate covariance and pseudo-covariance matrices optimization algorithm. In the covariance optimizat...
1 CitationsSource
Jan 1, 2017 in GLOBECOM (Global Communications Conference)
#1Jhe-Yi Lin (NTU: National Taiwan University)H-Index: 1
#2Ronald Y. Chang (CIT: Center for Information Technology)H-Index: 12
Last. Hen-Wai Tsao (NTU: National Taiwan University)H-Index: 24
view all 4 authors...
For rate optimization in interference limited network, improper Gaussian signaling has shown its capability to outperform the conventional proper Gaussian signaling. In this work, we study a weighted sum rate maximization problem with improper Gaussian signaling for the multiple-input multiple-output interference broadcast channel (MIMO-IBC). To solve this nonconvex and NP-hard problem, we propose an effective two-stage algorithm. In the first stage, a weighted mean square error (MSE) minimizati...
1 CitationsSource
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