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Wireless Localization with Space-Time Coded Reconfigurable Intelligent Surfaces

Mehdi Gholami, Soheil Khajavi, Mohammad Neshat, Simon Tewes, Aydin Sezgin

TL;DR

A novel approach for wireless localization is proposed and experimentally validated that leverages space–time-coded reconfigurable intelligent surfaces (RISs) and minimizes hardware requirements, offering a reliable and low-cost solution for localization in advanced telecommunications networks.

Abstract

In this paper, a novel approach for wireless localization is proposed and experimentally validated that leverages space-time coded reconfigurable intelligent surfaces (RIS). It is demonstrated that applying proper single-bit codes to each RIS element, enables accurate determination of the direction of arrival (AOA) at the receiver. Moreover, we introduce different scenarios that such technique can be used for localization. By incorporating RIS, a passive component, the method significantly reduces the complexity found in previous localization techniques. Additionally, the use of 1-bit codes minimizes hardware requirements, offering a reliable, low-cost solution for localization in advanced telecommunications networks.

Wireless Localization with Space-Time Coded Reconfigurable Intelligent Surfaces

TL;DR

A novel approach for wireless localization is proposed and experimentally validated that leverages space–time-coded reconfigurable intelligent surfaces (RISs) and minimizes hardware requirements, offering a reliable and low-cost solution for localization in advanced telecommunications networks.

Abstract

In this paper, a novel approach for wireless localization is proposed and experimentally validated that leverages space-time coded reconfigurable intelligent surfaces (RIS). It is demonstrated that applying proper single-bit codes to each RIS element, enables accurate determination of the direction of arrival (AOA) at the receiver. Moreover, we introduce different scenarios that such technique can be used for localization. By incorporating RIS, a passive component, the method significantly reduces the complexity found in previous localization techniques. Additionally, the use of 1-bit codes minimizes hardware requirements, offering a reliable, low-cost solution for localization in advanced telecommunications networks.

Paper Structure

This paper contains 5 sections, 6 equations, 12 figures, 2 tables.

Table of Contents

  1. Introduction
  2. Fundamentals of Localization with Space-Time Coding
  3. Proposed methods to Attain Localization through Space-Time Coded RIS
  4. Measurement Results on Wireless Localization using Space-Time Coding RIS
  5. Conclusion

Figures (12)

  • Figure 1: \ref{['1.1']} General form of Fourier vector representation for $n^{th}$ harmonic due to a code with only $m^{th}$ bit being set to 1. By one-bit shift, the $n^{th}$ harmonic experiences a phase shift of $2n\pi/L$. \ref{['1.2']} Representation of the first harmonic due to a 16-bit code with its first bit being set to 1. The first harmonic undergoes a phase shift of $\pi/8$ by each one-bit shift.
  • Figure 2: \ref{['2.1']} Signal code with only one bit at ON state. \ref{['2.2']} Signal codes applied to the elements of the RIS column-wise where each code is shifted by one bit as compared to the next.
  • Figure 3: The ON-OFF state of each element in the RIS in different time frames.
  • Figure 4: Simulated radiation pattern of reflected harmonics from the RIS when a pilot beam is incident normal to the RIS, and the elements are coded uniformly column-wise as shown in Fig. \ref{['3']}. H is the number of the reflected harmonics.
  • Figure 5: Displaying the radio coverage of the harmonics in the space facing the RIS.
  • ...and 7 more figures