Enhanced Limited Feedback Schemes for DL MU-MIMO ZF Precoding

This paper proposes new limited-feedback Channel State Information (CSI) calculation schemes for Zero Forcing (ZF)-precoded downlink Multi-User Multiple-Input Multiple-Output (MU-MIMO) systems. It is a common understanding that the feedback quantized by the codebook limits the performance of MU-MIMO...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on wireless communications Jg. 12; H. 4; S. 1554 - 1561
Hauptverfasser: Wei Wang, Harada, Atsushi, Kayama, Hidetoshi
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York, NY IEEE 01.04.2013
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Antennas
Applied sciences
broadcast channels
Channels
Coding, codes
Decoders
Decoding
Detection, estimation, filtering, equalization, prediction
Downlink
Errors
Exact sciences and technology
Feedback
Information, signal and communications theory
Interference
Mathematical analysis
MU-MIMO
Quantization (signal)
Radiocommunications
Receivers
Signal and communications theory
Signal to noise ratio
Signal, noise
Studies
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Transmission and modulation (techniques and equipments)
Vectors
Vectors (mathematics)
Weight reduction
Performance evaluation
MIMO system
Multiple access
Parameter estimation
Quantization error
Coding circuit
Transmitter
Feedback regulation
Downlink
MU-MIMO
Decoding
Mean square error
feedback
Codebook
Simulation
Coding
Channel estimation
Broadcast channels
Intermediate frequency
Pretreatment
Feedforward
Signal to interference plus noise ratio
Receiving antenna
ISSN:1536-1276, 1558-2248
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:This paper proposes new limited-feedback Channel State Information (CSI) calculation schemes for Zero Forcing (ZF)-precoded downlink Multi-User Multiple-Input Multiple-Output (MU-MIMO) systems. It is a common understanding that the feedback quantized by the codebook limits the performance of MU-MIMO. In this paper, through a quasi-ZF or a quasi-Minimum Mean-Squared Error (MMSE) weight, the channel matrix is transferred to one of the codebook vectors, based on which, the CSI is calculated. Thus, the quantization error is minimized. Meanwhile, the selection for the codebook vector guarantees the maximizing of the estimated Signal to Interference plus Noise Ratio (SINR). We verify that the proposed scheme obtains accurate feedback information, and the predicted weight can be the same as the optimal linear decoder as if the receiver knew all the precoder information that is fed-forward from the BS, as long as the number of antennas for each receiver equals that for the transmitter, and equals that for the total transmit data streams. Compared to the commonly used Precoding Matrix Index (PMI) based method, which uses rank-one single user (SU)-MIMO feedback, simulation results show that the proposed schemes achieve higher sum capacities in different scenarios. Moreover, since the weight can be directly used as the decoder, the feed-forward overhead is reduced.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ObjectType-Article-2
ObjectType-Feature-1
content type line 23
ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2012.030413.120051