Are D2D and RIS in the same league? Cooperative RSSI-based localization model and performance comparison

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F26%3A0201318" target="_blank" >RIV/00216305:26220/26:0201318 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S1570870525001106" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1570870525001106</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.adhoc.2025.103862" target="_blank" >10.1016/j.adhoc.2025.103862</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Are D2D and RIS in the same league? Cooperative RSSI-based localization model and performance comparison

Popis výsledku v původním jazyce

The next generation of high-accuracy positioning services is required to satisfy the sub-meter accuracy level for more than 95% of the network area, including indoor, outdoor, and urban deployments. In this vein, inter-agent measurements appear to provide additional position information and, hence, have the capacity to boost localization accuracy. This paper researches cooperative positioning techniques by means of device-to-device (D2D) and reconfigurable intelligent surfaces (RIS) technologies leveraging received signal strength (RSS) based ranging. We estimate the maximum capacities of the positioning systems in terms of accuracy through the Gaussian noise model, proposed universal theoretical distance-dependent noise model, and empirical noise model. We also evaluate the positioning error achieved by combining two or more technologies. Numerical results reveal the use cases advantageous for RIS-and D2D-aided localization. Then, based on the results, valuable guidelines are derived on the optimal sensor fusion metric-median-that minimizes the mean error of the cooperative localization.

Název v anglickém jazyce

Are D2D and RIS in the same league? Cooperative RSSI-based localization model and performance comparison

Popis výsledku anglicky

The next generation of high-accuracy positioning services is required to satisfy the sub-meter accuracy level for more than 95% of the network area, including indoor, outdoor, and urban deployments. In this vein, inter-agent measurements appear to provide additional position information and, hence, have the capacity to boost localization accuracy. This paper researches cooperative positioning techniques by means of device-to-device (D2D) and reconfigurable intelligent surfaces (RIS) technologies leveraging received signal strength (RSS) based ranging. We estimate the maximum capacities of the positioning systems in terms of accuracy through the Gaussian noise model, proposed universal theoretical distance-dependent noise model, and empirical noise model. We also evaluate the positioning error achieved by combining two or more technologies. Numerical results reveal the use cases advantageous for RIS-and D2D-aided localization. Then, based on the results, valuable guidelines are derived on the optimal sensor fusion metric-median-that minimizes the mean error of the cooperative localization.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Ad Hoc Networks

ISSN

1570-8705

e-ISSN

1570-8713

Svazek periodika

175

Číslo periodika v rámci svazku

August

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

16

Strana od-do

1-16

Kód UT WoS článku

001482468400001

EID výsledku v databázi Scopus

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