Graduate School and Research Center in Digital Sciences

Optimal algorithms and crb for reciprocity calibration in massive Mimo

Gopala, Kalyana; Slock, Dirk TM

ICASSP 2018, IEEE International Conference on Acoustics, Speech and Signal Processing, 15-20 April 2018, Calgary, Alberta, Canada

Gains from Massive MIMO are crucially dependent on the availability of channel state information at the transmitter which is far too costly if it has to estimated directly. Hence, for a time division duplexing system, this is derived from the uplink channel estimates using the concept of channel reciprocity. However, while the propagation channel is reciprocal, the overall digital channel in the downlink also involves the radio frequency chain which is non-reciprocal. This calls for calibration of the uplink channel with reciprocity calibration parameters to derive the downlink channel estimates. Initial approaches towards estimation of the reciprocity calibration parameters [1, 2] were all based on least squares. An ML estimator and a CRB for the estimators was introduced in [3]. This paper presents a more elegant and accurate CRB expression for a general reciprocity calibration framework. An optimal algorithm based on Variational Bayes is presented and it is compared with existing algorithms.

Document Doi Bibtex

Title:Optimal algorithms and crb for reciprocity calibration in massive Mimo
Keywords:Masive MIMO, Reciprocity Calibration, CRB
Type:Conference
Language:English
City:Calgary
Country:CANADA
Date:
Department:Communication systems
Eurecom ref:5496
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Bibtex: @inproceedings{EURECOM+5496, doi = {http://dx.doi.org/10.1109/ICASSP.2018.8462157}, year = {2018}, title = {{O}ptimal algorithms and crb for reciprocity calibration in massive {M}imo}, author = {{G}opala, {K}alyana and {S}lock, {D}irk {TM}}, booktitle = {{ICASSP} 2018, {IEEE} {I}nternational {C}onference on {A}coustics, {S}peech and {S}ignal {P}rocessing, 15-20 {A}pril 2018, {C}algary, {A}lberta, {C}anada}, address = {{C}algary, {CANADA}}, month = {04}, url = {http://www.eurecom.fr/publication/5496} }
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