Efficient linear precoding for massive MIMO systems using truncated polynomial expansion - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2014

Efficient linear precoding for massive MIMO systems using truncated polynomial expansion

Résumé

—Massive multiple-input multiple-output (MIMO) techniques have been proposed as a solution to satisfy many requirements of next generation cellular systems. One downside of massive MIMO is the increased complexity of computing the precoding, especially since the relatively "antenna-efficient" regu-larized zero-forcing (RZF) is preferred to simple maximum ratio transmission. We develop in this paper a new class of precoders for single-cell massive MIMO systems. It is based on truncated polynomial expansion (TPE) and mimics the advantages of RZF, while offering reduced and scalable computational complexity that can be implemented in a convenient pipelined fashion. Using random matrix theory we provide a closed-form expression of the signal-to-interference-and-noise ratio under TPE precoding and compare it to previous works on RZF. Furthermore, the sum rate maximizing polynomial coefficients in TPE precoding are calculated. By simulation, we find that to maintain a fixed per-user rate loss as compared to RZF, the polynomial degree does not need to scale with the system, but it should be increased with the quality of the channel knowledge and signal-to-noise ratio.
Fichier principal
Vignette du fichier
SAM2014_ver4_final_0.pdf (250.35 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01098843 , version 1 (29-12-2014)

Identifiants

Citer

Axel Müller, Abla Kammoun, Emil Björnson, Mérouane Debbah. Efficient linear precoding for massive MIMO systems using truncated polynomial expansion. IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM), Jun 2014, Coruna, Spain. pp.273 - 276, ⟨10.1109/SAM.2014.6882394⟩. ⟨hal-01098843⟩
154 Consultations
237 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More