Graduate School and Research Center in Digital Sciences

Performance analysis of reciprocity calibration in massive MIMO

Gopala, Kalyana; Slock, Dirk TM

SPAWC 2019, 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2-5 July 2019, Cannes, France

Time Division Duplexing (TDD) Massive MIMO (MaMIMO) relies on channel reciprocity to derive the channel state information at the transmit side (CSIT) from the uplink (UL) channel estimates. This reciprocity is impacted by the transmit and receive front ends which are non-reciprocal and hence a calibration is required to obtain the downlink (DL) channels from the UL channel estimates. The Cramer-Rao Bound (CRB) for reciprocity calibration and an optimal algorithm were derived in [1], [2] recently. In this work, we extend this and derive a generalized CRB that applies to both coherent and non-coherent calibration schemes (introduced in [1]). More importantly, we provide original mean squared error analysis for the commonly used Least-Squares (LS) estimator under different parameter constraints, and relate it to the CRB. Finally, we compare some antenna grouping strategies for calibration based on their CRB.

Document Doi Bibtex

Title:Performance analysis of reciprocity calibration in massive MIMO
Department:Communication systems
Eurecom ref:5881
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Bibtex: @inproceedings{EURECOM+5881, doi = {}, year = {2019}, title = {{P}erformance analysis of reciprocity calibration in massive {MIMO}}, author = {{G}opala, {K}alyana and {S}lock, {D}irk {TM}}, booktitle = {{SPAWC} 2019, 20th {IEEE} {I}nternational {W}orkshop on {S}ignal {P}rocessing {A}dvances in {W}ireless {C}ommunications, 2-5 {J}uly 2019, {C}annes, {F}rance }, address = {{C}annes, {FRANCE}}, month = {07}, url = {} }
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