Subspace Estimation and Decomposition for Hybrid Analog-Digital Millimetre-Wave MIMO systems
arXiv:1606.08583 · doi:10.1109/SPAWC.2015.7227067
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).
arXiv comment5 pages, 2015 IEEE 16th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
References in corpus (4)
- Spatially Sparse Precoding in Millimeter Wave MIMO Systems
- Channel Estimation and Hybrid Precoding for Millimeter Wave Cellular Systems
- Subspace Estimation and Decomposition for Large Millimeter-Wave MIMO systems
- Subspace Estimation and Decomposition for Hybrid Analog-Digital Millimetre-Wave MIMO systems
Cited by in corpus (7)
- Millimeter Wave Cellular Networks: A MAC Layer Perspective
- Channel Estimation for Millimeter-Wave Massive MIMO with Hybrid Precoding over Frequency-Selective Fading Channels
- Subspace Estimation and Decomposition for Large Millimeter-Wave MIMO systems
- Energy Efficiency and Asymptotic Performance Evaluation of Beamforming Structures in Doubly Massive MIMO mmWave Systems
- Subspace Estimation and Decomposition for Hybrid Analog-Digital Millimetre-Wave MIMO systems
- Are mmWave Low-Complexity Beamforming Structures Energy-Efficient? Analysis of the Downlink MU-MIMO
- A Frame-Theoretic Scheme for Robust Millimeter Wave Channel Estimation