Title :
Subspace estimation and decomposition for hybrid analog-digital millimetre-wave MIMO systems
Author :
Ghauch, Hadi ; Bengtsson, Mats ; Taejoon Kim ; Skoglund, Mikael
Author_Institution :
Sch. of Electr. Eng., R. Inst. of Technol. (KTH), Stockholm, Sweden
fDate :
June 28 2015-July 1 2015
Abstract :
In this work, we address the problem of channel estimation and precoding / combining for the so-called hybrid millimeter wave (mmWave) MIMO architecture. Our proposed channel estimation scheme exploits channel reciprocity in TDD MIMO systems, by using echoing, thereby allowing us to implement Krylov subspace methods in a fully distributed way. The latter results in estimating the right (resp. left) singular subspace of the channel at the transmitter (resp. receiver). Moreover, we also tackle the problem of subspace decomposition whereby the estimated right (resp. left) singular subspaces are approximated by a cascade of analog and digital precoder (resp. combiner), using an iterative method. Finally we compare our scheme with an equivalent fully digital case and conclude that a relatively similar performance can be achieved, however, with a drastically reduced number of RF chains - 4 ~ 8 times less (i.e., massive savings in cost and power consumption).
Keywords :
MIMO communication; channel coding; channel estimation; iterative methods; Krylov subspace methods; TDD MIMO systems; channel estimation; channel precoding; channel reciprocity; hybrid analog-digital millimetre-wave MIMO systems; iterative method; subspace decomposition; subspace estimation; Channel estimation; Estimation; MIMO; Radio frequency; Receivers; Signal processing algorithms; Transmitters; Arnoldi iteration; Millimeter wave MIMO systems; analog-digital precoding; hybrid architecture; sparse channel estimation; subspace decomposition; subspace estimation;
Conference_Titel :
Signal Processing Advances in Wireless Communications (SPAWC), 2015 IEEE 16th International Workshop on
Conference_Location :
Stockholm
DOI :
10.1109/SPAWC.2015.7227067