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Applying the Geometric Mean Decomposition in Joint Transceiver Design for Multi-Input Multi-Output (MIMO) Communications
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Applying the Geometric Mean Decomposition in Joint Transceiver Design for Multi-Input Multi-Output (MIMO) Communications
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Journal Article
Applying the Geometric Mean Decomposition in Joint Transceiver Design for Multi-Input Multi-Output (MIMO) Communications
2023
Overview
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 theoretical analyses and numerical simulations.
Publisher
Society of Scientific Research and Education (SSRE)
Subject
