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Xiqi Gao
Researcher at Southeast University
Publications - 148
Citations - 8607
Xiqi Gao is an academic researcher from Southeast University. The author has contributed to research in topics: MIMO & Computer science. The author has an hindex of 36, co-authored 95 publications receiving 6787 citations. Previous affiliations of Xiqi Gao include Dresden University of Technology & Massachusetts Institute of Technology.
Papers
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Journal ArticleDOI
Cellular architecture and key technologies for 5G wireless communication networks
Cheng-Xiang Wang,Fourat Haider,Xiqi Gao,Xiaohu You,Yang Yang,Dongfeng Yuan,Hadi M. Aggoune,Harald Haas,Simon Fletcher,Erol Hepsaydir +9 more
TL;DR: A potential cellular architecture that separates indoor and outdoor scenarios is proposed, and various promising technologies for 5G wireless communication systems, such as massive MIMO, energy-efficient communications, cognitive radio networks, and visible light communications are discussed.
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A Survey of Physical Layer Security Techniques for 5G Wireless Networks and Challenges Ahead
TL;DR: This paper provides a latest survey of the physical layer security research on various promising 5G technologies, includingPhysical layer security coding, massive multiple-input multiple-output, millimeter wave communications, heterogeneous networks, non-orthogonal multiple access, full duplex technology, and so on.
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Beam Division Multiple Access Transmission for Massive MIMO Communications
TL;DR: This work develops asymptotically necessary and sufficient conditions for optimal downlink transmission that require only statistical channel state information at the transmitter and proposes a beam division multiple access (BDMA) transmission scheme that simultaneously serves multiple users via different beams.
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A multilevel successive elimination algorithm for block matching motion estimation
Xiqi Gao,C.J. Duanmu,C.R. Zou +2 more
TL;DR: An efficient algorithm is proposed to reduce the computation cost of block matching algorithms for motion estimation in video coding by using the sum norms of the blocks and the subblocks for eliminating the search positions.
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Pilot Reuse for Massive MIMO Transmission over Spatially Correlated Rayleigh Fading Channels
TL;DR: Simulation results show that the proposed pilot reuse in single cell for massive multiuser multiple-input multiple-output (MIMO) transmission to reduce the pilot overhead provides significant performance gains over the conventional orthogonal training scheme in terms of net spectral efficiency.