Passive Beamforming and Information Transfer via Large Intelligent Surface

Abstract

Large intelligent surface (LIS) has emerged as a promising new solution to improve the energy and spectrum efficiency of wireless networks. A LIS, composed of a large number of low-cost and energy-efficient reconfigurable passive reflecting elements, enhances wireless communications by reflecting impinging electro-magnetic waves. In this paper, we propose a novel passive beamforming and information transfer (PBIT) technique, in which the LIS simultaneously enhances the primary communication and sends information to the receiver. We develop a passive beamforming method to improve the average receive signal-to-noise ratio (SNR).We also establish a two-step approach at the receiver to retrieve the information from both the transmitter and the LIS. Numerical results show that the proposed PBIT system, especially with the optimized passive beamforming, significantly outperforms the system without LIS enhancement. Furthermore, a tradeoff between the passive-beamforming gain and the information rate of the LIS has been demonstrated.

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Cited by in corpus (6)

• Wireless Communications Through Reconfigurable Intelligent Surfaces
• Joint Active and Passive Beamforming Optimization for Intelligent Reflecting Surface Assisted SWIPT under QoS Constraints
• Passive Beamforming and Information Transfer Design for Reconfigurable Intelligent Surfaces Aided Multiuser MIMO Systems
• UAV-Assisted Intelligent Reflecting Surface Symbiotic Radio System
• Intelligent Reflecting Surface Aided Vehicular Communications
• Programmable Metasurface Based Multicast Systems: Design and Analysis