Near Field Sidelink Positioning Through A Single Active RIS

Pinjun Zheng*, Hui Chen, Henk Wymeersch, Tareq Y. Al-Naffouri*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper studies the sidelink positioning problem in a near-field wireless communication scenario with a single active reconfigurable intelligent surface (RIS). In this task, the positions of the transmitter and the receiver, as well as the clock bias between them are estimated jointly. To solve this problem, a time-orthogonal random codebook is adopted, which makes different channels separable. Then, we propose a coarse positioning method based on the sub-RIS division and the far-field approximation, followed by a least-squares-based refinement. The Cramér-Rao lower bound (CRLB) is derived, which verifies the efficiency of the proposed algorithms. The simulation studies reveal: (i) positioning performance is largely affected by the RIS size and the transmission power; (ii) the power allocation between the transmitter and the active RIS has an impact on the positioning accuracy, and there exists an optimal power allocation ratio that minimizes the CRLB.

Original languageEnglish (US)
Title of host publicationGLOBECOM 2023 - 2023 IEEE Global Communications Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2511-2516
Number of pages6
ISBN (Electronic)9798350310900
DOIs
StatePublished - 2023
Event2023 IEEE Global Communications Conference, GLOBECOM 2023 - Kuala Lumpur, Malaysia
Duration: Dec 4 2023Dec 8 2023

Publication series

NameProceedings - IEEE Global Communications Conference, GLOBECOM
ISSN (Print)2334-0983
ISSN (Electronic)2576-6813

Conference

Conference2023 IEEE Global Communications Conference, GLOBECOM 2023
Country/TerritoryMalaysia
CityKuala Lumpur
Period12/4/2312/8/23

Keywords

  • 5G/6G
  • Near field
  • positioning
  • reconfigurable intelligent surface
  • sidelink communications

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Signal Processing

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