MIMO Precoding with X- and Y-Codes
Saif Khan Mohammed, Emanuele Viterbo, Yi Hong, and Ananthanarayanan, Chockalingam

TL;DR
This paper introduces X- and Y-Codes for MIMO systems that enhance multiplexing and diversity gains with low complexity, using channel pairing and fixed matrices based on SVD to improve performance.
Contribution
The paper proposes novel X- and Y-Codes and Precoders that optimize diversity and multiplexing in MIMO systems with low decoding complexity, including analytical derivation of optimal encoding matrices.
Findings
Y-Codes have decoding complexity similar to scalar channels.
X-Codes perform better in well-conditioned channels.
Y-Codes excel in ill-conditioned channels.
Abstract
We consider a time division duplex (TDD) multiple-input multiple-output (MIMO) system with channel state information (CSI) at both the transmitter and receiver. We propose X- and Y-Codes to achieve high multiplexing and diversity gains at low complexity. The proposed precoding schemes are based upon the singular value decomposition (SVD) of the channel matrix which transforms the MIMO channel into parallel subchannels. Then X- and Y-Codes are used to improve the diversity gain by pairing the subchannels, prior to SVD precoding. In particular, the subchannels with good diversity are paired with those having low diversity gains. Hence, a pair of channels is jointly encoded using a real matrix, which is fixed {\em a priori} and does not change with each channel realization. For X-Codes these matrices are 2-dimensional rotation matrices parameterized by a…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Cooperative Communication and Network Coding · Advanced Wireless Communication Techniques
