This paper considers the user localization problem in a single-cell system operating at millimeter wave (mmWave), wherein the serving base station (BS) is aided by an active reconfigurable intelligent surface (RIS). For the considered scenario, the maximum likelihood (ML) estimator for the user position and orientation is presented, along with two sub-optimal lower-complexity estimation strategies. Numerical results are provided to show the effectiveness of the proposed solutions.
Maximum-Likelihood User Localization in Active-RIS Empowered mmWave Wireless Networks
Venturino L.;Buzzi S.;D'Andrea C.
2023-01-01
Abstract
This paper considers the user localization problem in a single-cell system operating at millimeter wave (mmWave), wherein the serving base station (BS) is aided by an active reconfigurable intelligent surface (RIS). For the considered scenario, the maximum likelihood (ML) estimator for the user position and orientation is presented, along with two sub-optimal lower-complexity estimation strategies. Numerical results are provided to show the effectiveness of the proposed solutions.File in questo prodotto:
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