Compressed downlink channel acquisition based on burst support information in large‐scale MIMO systems

Autor:	M. J. Azizipour, K. Mohamed‐Pour
Jazyk:	angličtina
Rok vydání:	2019
Předmět:	burst‐sparse property prior support information PSI massive MIMO channel channel state information estimation error compressed downlink channel acquisition Electrical engineering. Electronics. Nuclear engineering TK1-9971
Zdroj:	Electronics Letters, Vol 55, Iss 8, Pp 489-491 (2019)
Druh dokumentu:	article
ISSN:	1350-911X 0013-5194
DOI:	10.1049/el.2018.8114
Popis:	In this Letter, a compressed channel estimation approach referred to as burst weighted ℓ1‐minimisation is proposed to alleviate the overwhelming pilot overhead in the downlink path of frequency division duplex (FDD) massive MIMO systems. The proposed approach exploits the burst‐sparse property of channel as the prior support information (PSI) and sets adaptive weights for the channel coefficients according to the accuracy of PSI values. Furthermore, a novel greedy algorithm is elaborated, which extracts PSI from the massive MIMO channel. Simulation results demonstrate that the proposed algorithm outperforms other solutions in terms of the channel state information (CSI) estimation error.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/e23f75f7f17f47228b0622990332f642 Zobrazit plný text záznamu Plný text View record in DOAJ