Title :
MIMO Precoding With X- and Y-Codes
Author :
Mohammed, Saif Khan ; Viterbo, Emanuele ; Hong, Yi ; Chockalingam, Ananthanarayanan
Author_Institution :
Dept. of Electr. Eng. (ISY), Linkoping Univ., Linköping, Sweden
fDate :
6/1/2011 12:00:00 AM
Abstract :
We consider a slow fading multiple-input multiple-output (MIMO) system with channel state information at both the transmitter and receiver. A well-known precoding scheme is based upon the singular value decomposition (SVD) of the channel matrix, which transforms the MIMO channel into parallel subchannels. Despite having low maximum likelihood decoding (MLD) complexity, this SVD precoding scheme provides a diversity gain which is limited by the diversity gain of the weakest subchannel. We therefore propose X- and Y-Codes, which improve the diversity gain of the SVD precoding scheme but maintain the low MLD complexity, by jointly coding information across a pair of subchannels. In particular, subchannels with high diversity gain are paired with those having low diversity gain. A pair of subchannels is jointly encoded using a 2 × 2 real matrix, which is fixed a priori and does not change with each channel realization. For X-Codes, these rotation matrices are parameterized by a single angle, while for Y-Codes, these matrices are left triangular matrices. Moreover, we propose X-, Y-Precoders with the same structure as X-, Y-Codes, but with encoding matrices adapted to each channel realization. We observed that X-Codes/Precoders are good for well-conditioned channels, while Y-Codes/Precoders are good for ill-conditioned channels.
Keywords :
MIMO communication; diversity reception; fading channels; matrix algebra; maximum likelihood decoding; precoding; radio receivers; radio transmitters; singular value decomposition; MIMO channel; MIMO precoding; X-codes; Y-codes; channel matrix; channel state information; diversity gain; left triangular matrices; maximum likelihood decoding; parallel subchannels; receiver; rotation matrices; singular value decomposition; slow fading multiple-input multiple-output system; transmitter; Complexity theory; Diversity methods; Encoding; Error probability; Fading; MIMO; Signal to noise ratio; Condition number; MIMO; diversity; error probability; precoding; singular value decomposition;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2011.2133650