Compressed channel estimation for RIS-assisted wireless systems: An efficient sparse recovery algorithm

The reconfigurable intelligent surface (RIS) technology plays an essential role in controlling the propagation environment of wireless systems, specifically millimeter wave (mmWave) communication systems. However, a considerable number of pilot signals should be provided at the base station (BS) sid...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Physical communication Ročník 60; s. 102153
Hlavní autoři: Nouri, Nima, Azizipour, Mohammad Javad
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier B.V 01.10.2023
Témata:
Angular domain
Channel estimation
Greedy algorithms
Reconfigurable intelligent surface (RIS)
Sparse recovery
Greedy algorithms
Reconfigurable intelligent surface (RIS)
Sparse recovery
Angular domain
Channel estimation
ISSN:1874-4907, 1876-3219
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:The reconfigurable intelligent surface (RIS) technology plays an essential role in controlling the propagation environment of wireless systems, specifically millimeter wave (mmWave) communication systems. However, a considerable number of pilot signals should be provided at the base station (BS) side for channel estimation due to the significant passive elements installed in the RIS. In this paper, we propose a novel sparse recovery algorithm by exploiting the row, common, and individual sparse elements of the channel in a new way. Furthermore, as an essential presumption of real environments, a sparse channel with unknown parameters is considered. Then a halting method is introduced to stop the proposed algorithm at the best time. The numerical results demonstrate that the proposed algorithm can alleviate the pilot overhead problem substantially while the mean square error (MSE) still approaches the performance bound.
ISSN:1874-4907
1876-3219
DOI:10.1016/j.phycom.2023.102153