Vertical Beamforming in Intelligent Reflecting Surface-Aided Cognitive Radio Networks

In this letter, we investigate joint application of intelligent reflecting surface (IRS) and vertical beamforming in cognitive radio networks (CRN). After properly modeling the network, an optimization problem is formed to jointly design the beamforming vector and tilt angle at the secondary base st...

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Bibliographic Details
Published in:IEEE wireless communications letters 2021-09, Vol.10 (9), p.1919-1923
Main Authors: Zamanian, S. Fatemeh, Razavizadeh, S. Mohammad, Wu, Qingqing
Format: Article
Language:English
Subjects:
Array signal processing
Azimuth
Beamforming
Cognitive radio
cognitive radio networks
Intelligent reflecting surface (IRS)
Interference
MISO communication
Optimization
Radio networks
Reconfigurable intelligent surface (RIS)
Reconfigurable intelligent surfaces
three dimensional (3D) beamforming
Three-dimensional displays
tilt angle optimization
vertical beamforming
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Summary:In this letter, we investigate joint application of intelligent reflecting surface (IRS) and vertical beamforming in cognitive radio networks (CRN). After properly modeling the network, an optimization problem is formed to jointly design the beamforming vector and tilt angle at the secondary base station (BS) as well as the phase shifts at the IRS with the objective of maximizing spectral efficiency of the secondary network. The optimization problem is non-convex; thus, we propose an efficient solution method for it. Numerical results show that adding an IRS and optimizing the radiation orientation, can significantly improve performance of the CRNs.
ISSN:2162-2337
2162-2345
DOI:10.1109/LWC.2021.3086309