Applying the Geometric Mean Decomposition in Joint Transceiver Design for Multi-Input Multi-Output (MIMO) Communications
Keywords:
Channel capacity, dirty paper precoding, inter- symbol interference suppression, joint transceiver design, matrix decomposition, MIMO, VBLAST, water filling.Abstract
In recent years, considerable attention has been paid to the joint optimal transceiver design for multi-input multioutput
(MIMO) communication systems. In this paper, we propose a joint transceiver design that combines the geo- metric
mean decomposition (GMD) with either the conventional zero-forcing VBLAST decoder or the more recent zero-forcing dirty
paper precoder (ZFDP). Our scheme decomposes a MIMO channel into multiple identical parallel subchannels, which can make it
rather convenient to design modulation/demodulation and coding/decoding schemes. Moreover, we prove that our scheme is
asymptotically optimal for (moderately) high SNR in terms of both channel throughput and bit error rate (BER) performance. This
desirable property is not shared by any other conventional schemes. We also consider the subchannel selection issues when some
of the subchannels are too poor to be useful. Our scheme can also be combined with orthogonal frequency division multi- plexing
(OFDM) for intersymbol interference (ISI) suppression. The effectiveness of our approaches has been validated by both theoret ical
analyses and numerical simulations.
