{"_id":"jg6FcAboeNK3CcMLc","bibbaseid":"bai-heath-asymptoticsinrformillimeterwavemassivemimocellularnetworks-2015","authorIDs":[],"author_short":["Bai, T.","Heath, R."],"bibdata":{"title":"Asymptotic SINR for millimeter wave massive MIMO cellular networks","type":"inproceedings","year":"2015","identifiers":"[object Object]","keywords":"[Array signal processing, Base stations, Downlink,","volume":"2015-Augus","id":"62d8f269-eb28-320e-965e-e1d818d36fe7","created":"2016-09-06T19:47:20.000Z","file_attached":false,"profile_id":"be62f108-1255-3a2e-9f9e-f751a39b8a03","last_modified":"2017-03-24T19:20:02.182Z","read":false,"starred":false,"authored":"true","confirmed":false,"hidden":false,"private_publication":false,"abstract":"? 2015 IEEE.Thanks to the small wavelength at millimeter wave (mmWave) frequency, it is promising to combine massive multiple-input and multiple-output (MIMO) with mmWave. MmWave massive MIMO will differ from the conventional massive MIMO, due to the differences in propagation and hardware constraints. This paper proposes a stochastic geometry framework for evaluating the performance in large-scale mmWave massive MIMO networks. Based on the system model, analytical expressions are provided for the asymptotic signal-To-interference-plus-noise ratio (SINR) distributions in both uplink and downlink, when the number of base station antennas goes to infinity. Numerical results indicate a fast convergence in the SINR distribution to its asymptotic equivalence in dense mmWave networks. A comparison with conventional massive MIMO shows that mmWave massive MIMO achieves a higher cell throughput with sufficiently dense deployments.","bibtype":"inproceedings","author":"Bai, T. and Heath, R.W.","booktitle":"IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC","bibtex":"@inproceedings{\n title = {Asymptotic SINR for millimeter wave massive MIMO cellular networks},\n type = {inproceedings},\n year = {2015},\n identifiers = {[object Object]},\n keywords = {[Array signal processing, Base stations, Downlink,},\n volume = {2015-Augus},\n id = {62d8f269-eb28-320e-965e-e1d818d36fe7},\n created = {2016-09-06T19:47:20.000Z},\n file_attached = {false},\n profile_id = {be62f108-1255-3a2e-9f9e-f751a39b8a03},\n last_modified = {2017-03-24T19:20:02.182Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {false},\n hidden = {false},\n private_publication = {false},\n abstract = {? 2015 IEEE.Thanks to the small wavelength at millimeter wave (mmWave) frequency, it is promising to combine massive multiple-input and multiple-output (MIMO) with mmWave. MmWave massive MIMO will differ from the conventional massive MIMO, due to the differences in propagation and hardware constraints. This paper proposes a stochastic geometry framework for evaluating the performance in large-scale mmWave massive MIMO networks. Based on the system model, analytical expressions are provided for the asymptotic signal-To-interference-plus-noise ratio (SINR) distributions in both uplink and downlink, when the number of base station antennas goes to infinity. Numerical results indicate a fast convergence in the SINR distribution to its asymptotic equivalence in dense mmWave networks. A comparison with conventional massive MIMO shows that mmWave massive MIMO achieves a higher cell throughput with sufficiently dense deployments.},\n bibtype = {inproceedings},\n author = {Bai, T. and Heath, R.W.},\n booktitle = {IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC}\n}","author_short":["Bai, T.","Heath, R."],"bibbaseid":"bai-heath-asymptoticsinrformillimeterwavemassivemimocellularnetworks-2015","role":"author","urls":{},"keyword":["[Array signal processing","Base stations","Downlink",""],"downloads":0},"bibtype":"inproceedings","creationDate":"2020-10-14T23:11:30.877Z","downloads":0,"keywords":["[array signal processing","base stations","downlink",""],"search_terms":["asymptotic","sinr","millimeter","wave","massive","mimo","cellular","networks","bai","heath"],"title":"Asymptotic SINR for millimeter wave massive MIMO cellular networks","year":2015}