Adaptive Beamforming Design for mmWave RIS-Aided Joint Localization and Communication
Paper in proceeding, 2020

The concept of reconfigurable intelligent surface (RIS) has been proposed to change the propagation of electromagnetic waves, e.g., reflection, diffraction, and refraction. To accomplish this goal, the phase values of the discrete RIS units need to be optimized. In this paper, we consider RIS-aided millimeter-wave (mmWave) multiple-input multiple-output (MIMO) systems for both accurate positioning and high data-rate transmission. We propose an adaptive phase shifter design based on hierarchical codebooks and feedback from the mobile station (MS). The benefit of the scheme lies in that the RIS does not require deployment of any active sensors and baseband processing units. During the update process of phase shifters, the combining vector at the MS is sequentially refined. Simulation results show the performance improvement of the proposed algorithm over the random phase design scheme, in terms of both positioning accuracy and data rate. Moreover, the performance converges to that of the exhaustive search scheme even in the low signal-to-noise ratio regime.

mmWave MIMO

hierarchical codebook

reconfigurable intelligent surface

Analog beamforming



Jiguang He

University of Oulu

Henk Wymeersch

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Tachporn Sanguanpuak

University of Oulu

Olli Silven

University of Oulu

Markku Juntti

Chalmers, Electrical Engineering

2020 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2020 - Proceedings


2020 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2020
Seoul, South Korea,

Multi-dimensional Signal Processing with Frequency Comb Transceivers

Swedish Research Council (VR) (2018-03701), 2018-12-01 -- 2021-12-31.

Subject Categories


Signal Processing

Other Electrical Engineering, Electronic Engineering, Information Engineering



More information

Latest update