98 citations · 244 across the 6 of their papers we have counts for
7 papers
Joint Beamforming and Reconfigurable Intelligent Surface Design for Two-Way Relay Networks
Jun Wang, Ying-Chang Liang, Jingon Joung +2
In this paper, we consider a reconfigurable intelligent surface (RIS)-assisted two-way relay network, in which two users exchange information through the base station (BS) with the…
Hyperspectral Super-Resolution via Interpretable Block-Term Tensor Modeling
Meng Ding, Xiao Fu, Ting-Zhu Huang +2
This work revisits coupled tensor decomposition (CTD)-based hyperspectral super-resolution (HSR). HSR aims at fusing a pair of hyperspectral and multispectral images to recover a s…
Spectrum Cartography via Coupled Block-Term Tensor Decomposition
Guoyong Zhang, Xiao Fu, Jun Wang +2
Spectrum cartography aims at estimating power propagation patterns over a geographical region across multiple frequency bands (i.e., a radio map)---from limited samples taken spars…
Hyperspectral Super-resolution: A Coupled Nonnegative Block-term Tensor Decomposition Approach
Guoyong Zhang, Xiao Fu, Kejun Huang +1
Hyperspectral super-resolution (HSR) aims at fusing a hyperspectral image (HSI) and a multispectral image (MSI) to produce a super-resolution image (SRI). Recently, a coupled tenso…
Cramer-Rao Bounds for Joint RSS/DoA-Based Primary-User Localization in Cognitive Radio Networks
Jun Wang, Jianshu Chen, Danijela Cabric
Knowledge about the location of licensed primary-users (PU) could enable several key features in cognitive radio (CR) networks including improved spatio-temporal sensing, intellige…
Weighted Centroid Algorithm for Estimating Primary User Location: Theoretical Analysis and Distributed Implementation
Jun Wang, Paulo Urriza, Yuxing Han +1
Information about primary transmitter location is crucial in enabling several key capabilities in cognitive radio networks, including improved spatio-temporal sensing, intelligent…