TY - GEN
T1 - Subspace estimation and decomposition for hybrid analog-digital millimetre-wave MIMO systems
AU - Ghauch, Hadi
AU - Bengtsson, Mats
AU - Kim, Taejoon
AU - Skoglund, Mikael
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/8/27
Y1 - 2015/8/27
N2 - 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).
AB - 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).
KW - Arnoldi iteration
KW - Millimeter wave MIMO systems
KW - analog-digital precoding
KW - hybrid architecture
KW - sparse channel estimation
KW - subspace decomposition
KW - subspace estimation
UR - https://www.scopus.com/pages/publications/84953406441
U2 - 10.1109/SPAWC.2015.7227067
DO - 10.1109/SPAWC.2015.7227067
M3 - Conference contribution
AN - SCOPUS:84953406441
T3 - IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
SP - 395
EP - 399
BT - SPAWC 2015 - 16th IEEE International Workshop on Signal Processing Advances in Wireless Communications
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 16th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2015
Y2 - 28 June 2015 through 1 July 2015
ER -