Paper Info
Title
Subspace decomposition approach to multi-user MIMO channel estimation in SC-FDE systems
Abstract
Multiuser multiple-input multiple-output (MU-MIMO) wireless systems that employ single-carrier frequency-domain equalization (SC-FDE) for uplink transmissions can provide high data rates with increased spectral efficiency under severe channel conditions. However, the availability of accurate channel estimates at the base station (BS) receiver is crucial for achieving peak performance. In this paper, we investigate the use of subspace decomposition and derive a novel algorithm for the blind estimation of MU-MIMO channels in SC-FDE systems, as specified by the 3GPP LTE. By exploiting the long data blocks available in LTE standards, our proposed blind algorithm can obtain accurate estimates of the MU-MIMO channels over every block of transmitted data. This provides for a bandwidth-efficient solution in SC-FDE systems by eliminating (reducing) the need to allocate an entire block of pilot sequences for each active transmitter. Furthermore, since the channel estimation is deployed at the BS, the computational complexity is not considered to be a significant burden for future systems in exchange for the increased spectral efficiency. The results of simulations over fading channels, using realistic system parameters representative of LTE-Advanced, demonstrate the advantages of our proposed blind subspace-based channel estimation algorithm and support the feasibility of the resulting MU-MIMO SC-FDE scheme with reduced training.
Year
DOI
Venue
2013
10.1109/PIMRC.2013.6666332
Personal Indoor and Mobile Radio Communications
Keywords
Field
DocType
Long Term Evolution,MIMO communication,blind equalisers,channel estimation,computational complexity,fading channels,3GPP LTE,BS receiver,LTE-Advanced,MU-MIMO channels,SC-FDE systems,active transmitter,bandwidth-efficient solution,base station receiver,blind estimation,computational complexity,data blocks,data rates,fading channels,multiuser MIMO channel estimation,multiuser multiple-input multiple-output wireless systems,pilot sequences,single-carrier frequency-domain equalization,spectral efficiency,subspace decomposition approach,subspace-based channel estimation algorithm,uplink transmissions,LTE-A,MIMO,SC-FDE,SC-FDMA,blind channel estimation,subspace decomposition
Multi-user MIMO,Subspace topology,Computer science,Fading,SC-FDE,Communication channel,MIMO,Computer network,Spectral efficiency,Telecommunications link
Conference
ISSN
Citations 
PageRank 
2166-9570
1
0.37
References 
Authors
10
3
Name
Order
Citations
PageRank
Ashraf A. Tahat1153.18
B. Champagne2523.43
Claude D'Amours310.37