@conference {924, title = {Time-domain channel estimation for wideband millimeter wave systems with hybrid architecture}, booktitle = { IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, year = {2017}, month = {03/2017}, pages = {6193-6197}, abstract = {

Millimeter wave (mm Wave) systems will likely employ large antennas at both the transmitter and receiver for directional beamforming. Hybrid analog/digital MIMO architectures have been proposed previously for leveraging both array gain and multiplexing gain, while reducing the power consumption in analog-to-digital converters. Channel knowledge is needed to design the hybrid precoders/combiners, which is difficult to obtain due to the large antenna arrays and the frequency selective nature of the channel. In this paper, we propose a sparse recovery based time-domain channel estimation technique for hybrid architecture based frequency selective mmWave systems. The proposed compressed sensing channel estimation algorithm is shown to provide good estimation error performance, while requiring small training overhead. The simulation results show that using multiple RF chains at the receiver and the transmitter further reduces the training overhead.

}, keywords = {compass, mmWave, myrada}, author = {Kiran Venugopal and Ahmed Alkhateeb and Robert W. Heath Jr. and Nuria Gonz{\'a}lez-Prelcic} } @article {766, title = {MIMO precoding and combining solutions for millimeter wave systems}, journal = {IEEE Communications Magazine}, volume = {52}, year = {2014}, month = {12/2014}, pages = {122-131}, abstract = {

Millimeter-wave communication is one way to alleviate the spectrum gridlock at lower frequencies while simultaneously providing high-bandwidth communication channels. MmWave makes use of MIMO through large antenna arrays at both the base station and the mobile station to provide sufficient received signal power. This article explains how beamforming and precoding are different in MIMO mmWave systems than in their lower-frequency counterparts, due to different hardware constraints and channel characteristics. Two potential architectures are reviewed: hybrid analog/digital precoding/combining and combining with low-resolution analog- to-digital converters. The potential gains and design challenges for these strategies are discussed, and future research directions are highlighted.

}, keywords = {adaptive signal processing, compass, mmWave}, doi = {10.1109/MCOM.2014.6979963}, author = {Ahmed Alkhateeb and Jianhua Mo and Nuria Gonz{\'a}lez-Prelcic and Robert W. Heath Jr.} }