Paper Info
Title
Downlink training codebook design and hybrid precoding in FDD massive MIMO systems
Abstract
Interest in massive multiple-input multiple-output (MIMO) systems is growing because of their potential ability to improve spectral and energy efficiency. Most prior work on massive MIMO considers TDD operation that relies on channel reciprocity between uplink and downlink channels, whereas most current cellular systems adopt FDD without channel reciprocity. In an FDD mode, downlink channel estimation becomes a challenging issue due to the substantial training overhead that scales with the number of antennas, which can limit the potential gain of massive MIMO systems. To tackle the issue of channel estimation, we consider the design of a training codebook that has a suitable mapping for the training signal patterns in block transmissions under the assumption of a Kaiman filtering framework. We focus on a reduced dimensionality training codebook and transmit precoding design to enable low-complexity system configuration. We discuss how this framework can extend to hybrid analog-digital precoding using a limited number of active RF chains for transmit beamforming by applying the Toeplitz distribution theorem to large-scale linear antenna arrays. A practical guideline for training codebook parameters is presented, and numerical results show the effectiveness of the proposed algorithm.
Year
DOI
Venue
2014
10.1109/GLOCOM.2014.7037042
GLOBECOM
Keywords
Field
DocType
uplink channel,active rf chain,massive multiple input multiple output system,kalman filters,downlink training codebook design,low-complexity system configuration,cellular radio,precoding,channel reciprocity,kalman filtering framework,toeplitz matrices,large-scale linear antenna array,energy conservation,spectral efficiency improvement,channel coding,downlink channel estimation,spectral analysis,beamforming,array signal processing,wireless channels,mimo communication,block transmission,toeplitz distribution theorem,fdd massive mimo system,cellular system,hybrid analog-digital precoding,energy efficiency improvement,channel estimation,linear antenna arrays,mimo,downlink,vectors,steady state
Beamforming,Multi-user MIMO,3G MIMO,Computer science,Control theory,Communication channel,MIMO,Electronic engineering,Real-time computing,Precoding,Telecommunications link,Codebook
Conference
ISSN
Citations 
PageRank 
2334-0983
3
0.46
References 
Authors
20
3
Name
Order
Citations
PageRank
Song Noh11729.11
Michael D. Zoltowski253457.84
David J. Love32424157.01