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Reconfigurable Intelligent Surface for Interference Alignment in MIMO Device-to-Device Networks
会议论文
2021 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS, ICC WORKSHOPS 2021 - PROCEEDINGS, Virtual, Online, June 14, 2021 - June 23, 2021
作者:
Fu, Min
;
Zhou, Yong
;
Shi, Yuanming
Adobe PDF(379Kb)
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收藏
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浏览/下载:1119/233
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提交时间:2021/12/03
Alignment
Constrained optimization
Degrees of freedom (mechanics)
Interlocking signals
Least squares approximations
MIMO systems
Numerical methods
Compact Stiefel manifolds
Conjugate gradient algorithms
Constrained least squares
Degrees of freedom (DoFs)
Interference alignment
Optimization approach
Optimization variables
State
of
the
art methods
A certifiably globally optimal solution to generalized essential matrix estimation
会议论文
PROCEEDINGS OF THE IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, Virtual, Online, United states, June 14, 2020 - June 19, 2020
作者:
Ji Zhao
;
Wanting Xu
;
Laurent Kneip
Adobe PDF(416Kb)
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浏览/下载:394/3
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提交时间:2020/12/04
Convex optimization
Pattern recognition
Polynomial approximation
Quadratic programmingEssential matrix
Local optimizations
Multicamera systems
Nonconvex problem
Optimal solutions
Optimization approach
Quadratically-constrained quadratic programs
Semidefinite relaxation
Cameras
Optimization
Three-dimensional displays
Pose estimation
Geometry
Eigenvalues and eigenfunctions
Enhanced Group Sparse Beamforming for Green Cloud-RAN: A Random Matrix Approach
会议论文
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
作者:
Shi, Yuanming
;
Zhang, Jun
;
Chen, Wei
;
Letaief, Khaled B.
Adobe PDF(674Kb)
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浏览/下载:563/112
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提交时间:2022/12/09
Radio links
Communication channels (information theory)
Computational complexity
Iterative methods
Channel state information
Lagrange multipliers
Matrix algebra
Radio access networks
Complex networks
Radio transmission
Random variables
Complex optimization problems
Deterministic approximation
Green communications
Lagrangian duality
Random matrix theory
Random-matrix approach
Sparse optimizations
Statistical channel state informations
GENERALIZED MATRIX COMPLETION FOR LOW COMPLEXITY TRANSCEIVER PROCESSING IN CACHE-AIDED FOG-RAN VIA THE BURER-MONTEIRO APPROACH
会议论文
2017 IEEE GLOBAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING (GLOBALSIP 2017), Montreal, QC, 14-16 Nov. 2017
作者:
Yang, Kai
;
Shi, Yuanming
;
Ding, Zhi
Adobe PDF(219Kb)
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收藏
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浏览/下载:737/1
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提交时间:2018/12/01
Fog-RAN
mobile edge caching and computing
low rank matrix optimization
Burer-Monteiro approach
Riemannian optimization
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