Sensing aided Channel Estimation in Wideband Millimeter-Wave MIMO Systems - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2023

Sensing aided Channel Estimation in Wideband Millimeter-Wave MIMO Systems

Résumé

In this work, the uplink channel estimation problem is considered for a millimeter wave (mmWave) multi-input multioutput (MIMO) system. It is well known that pilot overhead and computation complexity in estimating the channel increases with the number of antennas and the bandwidth. To overcome this, the proposed approach allows the channel estimation at the base station to be aided by the sensing information. The sensing information contains an estimate of scatterers locations in an environment. A simultaneous weighting orthogonal matching pursuit (SWOMP)-sparse Bayesian learning (SBL) algorithm is proposed that efficiently incorporates this sensing information in the communication channel estimation procedure. The proposed framework can cope with scenarios where a) scatterers present in the sensing information are not associated with the communication channel and b) imperfections in the scatterers' location. Simulation results show that the proposed sensing aided channel estimation algorithm can obtain good wideband performance only at the cost of fractional pilot overhead. Finally, the Cramer-Rao Bound (CRB) for the angle estimation and multipath channel gains in the SBL is derived, providing valuable insights into the local identifiability of the proposed algorithms.
Fichier principal
Vignette du fichier
publi-7203.pdf (476.64 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04141810 , version 1 (26-06-2023)

Identifiants

Citer

Rakesh Mundlamuri, Rajeev Gangula, Christo Kurisummoottil Thomas, Florian Kaltenberger, Walid Saad. Sensing aided Channel Estimation in Wideband Millimeter-Wave MIMO Systems. ICC 2023, IEEE International Conference on Communications, IEEE, May 2023, Rome, Italy. pp.1404-1409, ⟨10.1109/ICCWorkshops57953.2023.10283636⟩. ⟨hal-04141810⟩

Collections

EURECOM
21 Consultations
16 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More