@inproceedings{
 title = {Analysis of beam sweep channel estimation in MmWave massive MIMO networks},
 type = {inproceedings},
 year = {2017},
 identifiers = {[object Object]},
 id = {981ea886-bf61-36e5-8c1b-8134a5bef686},
 created = {2017-12-16T11:30:17.230Z},
 file_attached = {false},
 profile_id = {be62f108-1255-3a2e-9f9e-f751a39b8a03},
 last_modified = {2017-12-16T11:30:17.230Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {false},
 hidden = {false},
 private_publication = {true},
 abstract = {© 2016 IEEE. Millimeter wave (mmWave) is a promising carrier frequency to implement massive MIMO networks. Due to the limitation on the number of RF chains and the channel sparsity in clusters, mmWave massive MIMO networks may apply a beam sweep method to estimate the channel in the angular domain. We propose a stochastic geometry framework to study the performance of beam sweep in the uplink. Based on the framework, we compute an approximate upper bound for the success probability of beam sweep. Numerical results verify the analysis, and show a non-monotonic trend between the beam width used in the beam sweep and the success probability.},
 bibtype = {inproceedings},
 author = {Bai, T. and Heath, R.W.},
 booktitle = {2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings}
}

{"_id":"6Yg2wfuycAkGrQcaW","bibbaseid":"bai-heath-analysisofbeamsweepchannelestimationinmmwavemassivemimonetworks-2017","authorIDs":[],"author_short":["Bai, T.","Heath, R."],"bibdata":{"title":"Analysis of beam sweep channel estimation in MmWave massive MIMO networks","type":"inproceedings","year":"2017","identifiers":"[object Object]","id":"981ea886-bf61-36e5-8c1b-8134a5bef686","created":"2017-12-16T11:30:17.230Z","file_attached":false,"profile_id":"be62f108-1255-3a2e-9f9e-f751a39b8a03","last_modified":"2017-12-16T11:30:17.230Z","read":false,"starred":false,"authored":"true","confirmed":false,"hidden":false,"private_publication":"true","abstract":"© 2016 IEEE. Millimeter wave (mmWave) is a promising carrier frequency to implement massive MIMO networks. Due to the limitation on the number of RF chains and the channel sparsity in clusters, mmWave massive MIMO networks may apply a beam sweep method to estimate the channel in the angular domain. We propose a stochastic geometry framework to study the performance of beam sweep in the uplink. Based on the framework, we compute an approximate upper bound for the success probability of beam sweep. Numerical results verify the analysis, and show a non-monotonic trend between the beam width used in the beam sweep and the success probability.","bibtype":"inproceedings","author":"Bai, T. and Heath, R.W.","booktitle":"2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings","bibtex":"@inproceedings{\n title = {Analysis of beam sweep channel estimation in MmWave massive MIMO networks},\n type = {inproceedings},\n year = {2017},\n identifiers = {[object Object]},\n id = {981ea886-bf61-36e5-8c1b-8134a5bef686},\n created = {2017-12-16T11:30:17.230Z},\n file_attached = {false},\n profile_id = {be62f108-1255-3a2e-9f9e-f751a39b8a03},\n last_modified = {2017-12-16T11:30:17.230Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {false},\n hidden = {false},\n private_publication = {true},\n abstract = {© 2016 IEEE. Millimeter wave (mmWave) is a promising carrier frequency to implement massive MIMO networks. Due to the limitation on the number of RF chains and the channel sparsity in clusters, mmWave massive MIMO networks may apply a beam sweep method to estimate the channel in the angular domain. We propose a stochastic geometry framework to study the performance of beam sweep in the uplink. Based on the framework, we compute an approximate upper bound for the success probability of beam sweep. Numerical results verify the analysis, and show a non-monotonic trend between the beam width used in the beam sweep and the success probability.},\n bibtype = {inproceedings},\n author = {Bai, T. and Heath, R.W.},\n booktitle = {2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings}\n}","author_short":["Bai, T.","Heath, R."],"bibbaseid":"bai-heath-analysisofbeamsweepchannelestimationinmmwavemassivemimonetworks-2017","role":"author","urls":{},"downloads":0},"bibtype":"inproceedings","creationDate":"2020-10-14T23:11:32.486Z","downloads":0,"keywords":[],"search_terms":["analysis","beam","sweep","channel","estimation","mmwave","massive","mimo","networks","bai","heath"],"title":"Analysis of beam sweep channel estimation in MmWave massive MIMO networks","year":2017}