{"_id":"gs7X9mTpBmQybXgzi","bibbaseid":"rodriguezfernandez-gonzalezprelcic-heath-channelestimationinmixedhybridlowresolutionmimoarchitecturesformmwavecommunication-2017","authorIDs":[],"author_short":["Rodriguez-Fernandez, J.","Gonzalez-Prelcic, N.","Heath, R."],"bibdata":{"title":"Channel estimation in mixed hybrid-low resolution MIMO architectures for mmWave communication","type":"inproceedings","year":"2017","identifiers":"[object Object]","keywords":"Channel estimation,hybrid architecture,millimeter wave MIMO","id":"aadc3f16-0b60-32e8-b800-8f92370a823a","created":"2018-02-27T10:39:59.555Z","file_attached":false,"profile_id":"be62f108-1255-3a2e-9f9e-f751a39b8a03","last_modified":"2018-02-27T10:39:59.555Z","read":false,"starred":false,"authored":"true","confirmed":false,"hidden":false,"private_publication":"true","abstract":"© 2016 IEEE. Mixed hybrid-low resolution MIMO architectures reduce both the number of ADCs and their resolution to reduce power consumption. In such a system, the received signal suffers from two compression stages. One is due to the analog processing stage and the reduced number of RF chains, while the other is a result of signal quantization by the ADC converters. The compression steps both complicate the estimation of the MIMO channel. In this paper we propose a compressive channel estimator that exploits the sparse structure of the millimeter wave channel to compensate for the loss of information inherent to the proposed architecture.","bibtype":"inproceedings","author":"Rodriguez-Fernandez, J. and Gonzalez-Prelcic, N. and Heath, R.W.","booktitle":"Conference Record - Asilomar Conference on Signals, Systems and Computers","bibtex":"@inproceedings{\n title = {Channel estimation in mixed hybrid-low resolution MIMO architectures for mmWave communication},\n type = {inproceedings},\n year = {2017},\n identifiers = {[object Object]},\n keywords = {Channel estimation,hybrid architecture,millimeter wave MIMO},\n id = {aadc3f16-0b60-32e8-b800-8f92370a823a},\n created = {2018-02-27T10:39:59.555Z},\n file_attached = {false},\n profile_id = {be62f108-1255-3a2e-9f9e-f751a39b8a03},\n last_modified = {2018-02-27T10:39:59.555Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {false},\n hidden = {false},\n private_publication = {true},\n abstract = {© 2016 IEEE. Mixed hybrid-low resolution MIMO architectures reduce both the number of ADCs and their resolution to reduce power consumption. In such a system, the received signal suffers from two compression stages. One is due to the analog processing stage and the reduced number of RF chains, while the other is a result of signal quantization by the ADC converters. The compression steps both complicate the estimation of the MIMO channel. In this paper we propose a compressive channel estimator that exploits the sparse structure of the millimeter wave channel to compensate for the loss of information inherent to the proposed architecture.},\n bibtype = {inproceedings},\n author = {Rodriguez-Fernandez, J. and Gonzalez-Prelcic, N. and Heath, R.W.},\n booktitle = {Conference Record - Asilomar Conference on Signals, Systems and Computers}\n}","author_short":["Rodriguez-Fernandez, J.","Gonzalez-Prelcic, N.","Heath, R."],"bibbaseid":"rodriguezfernandez-gonzalezprelcic-heath-channelestimationinmixedhybridlowresolutionmimoarchitecturesformmwavecommunication-2017","role":"author","urls":{},"keyword":["Channel estimation","hybrid architecture","millimeter wave MIMO"],"downloads":0},"bibtype":"inproceedings","creationDate":"2020-10-14T23:11:33.103Z","downloads":0,"keywords":["channel estimation","hybrid architecture","millimeter wave mimo"],"search_terms":["channel","estimation","mixed","hybrid","low","resolution","mimo","architectures","mmwave","communication","rodriguez-fernandez","gonzalez-prelcic","heath"],"title":"Channel estimation in mixed hybrid-low resolution MIMO architectures for mmWave communication","year":2017}