Unsupervised Learning for Passive Beamforming

Volume: 24, Issue: 5, Pages: 1052 - 1056
Published: May 1, 2020
Abstract
Reconfigurable intelligent surface (RIS) has recently emerged as a promising candidate to improve the energy and spectral efficiency of wireless communication systems. However, the unit modulus constraint on the phase shift of reflecting elements makes the design of optimal passive beamforming solution a challenging issue. The conventional approach is to find a suboptimal solution using the semi-definite relaxation (SDR) technique, yet the...
Paper Details
Title
Unsupervised Learning for Passive Beamforming
Published Date
May 1, 2020
Volume
24
Issue
5
Pages
1052 - 1056
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