Please use this identifier to cite or link to this item:
Title: Iterative interference alignment techniques for broadband wireless systems with limited feedback
Author: Teodoro, Sara
Silva, Adão
Dinis, Rui
Gameiro, Atílio
Keywords: Interference alignment
Broadband wireless communications
Limited feedback
Channel quantization
Issue Date: 1-Dec-2013
Publisher: IEEE
Abstract: Interference alignment (IA) is a promising technique that allows high capacity gains in interfering channels. In this paper we consider iterative IA techniques for the downlink of OFDM-based (Orthogonal Frequency Division Multiplexing) broadband wireless systems with limited feedback. A quantized version of the channel state information (CSI) associated to the different links between base station (BS) and user terminal (UT) is feedback from the UT to the BS, which sends it to the other BSs through a limited-capacity backhaul network. This information is employed by each BS to perform the overall IA design. Our channel quantization method requires much less complexity than random vector quantization based techniques and requires the quantization of a fraction of the channel frequency response samples. The results have shown that a small number of quantization bits per multipath component is enough to allow performance close to one obtained with perfect channel knowledge.
Peer review: yes
DOI: 10.1109/ICSPCS.2013.6723902
Appears in Collections:DETI - Comunicações

Files in This Item:
File Description SizeFormat 
C6.pdf255.42 kBAdobe PDFrestrictedAccess

Formato BibTex MendeleyEndnote Degois 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.