@InProceedings{8081680,
  author = {O. Raeesi and A. Gokceoglu and P. C. Sofotasios and M. Renfors and M. Valkama},
  booktitle = {2017 25th European Signal Processing Conference (EUSIPCO)},
  title = {Modeling and estimation of massive MIMO channel non-reciprocity: Sparsity-aided approach},
  year = {2017},
  pages = {2596-2600},
  abstract = {In this paper, we study the estimation of channel non-reciprocity in precoded time division duplexing based massive multiple-input multiple-output (MIMO) systems. The considered channel non-reciprocity model covers both the frequency-response and the mutual coupling mismatches between the transmitter and the receiver chains of a massive MIMO basestation (BS). Based on the assumed non-reciprocity model, it is shown that the effective downlink channel can be decomposed as a product of the uplink channel and another sparse matrix, referred to as the BS transceiver non-reciprocity matrix. Stemming from such modeling, we then propose an efficient estimator of the BS transceiver non-reciprocity matrix exploiting its sparse nature, combined with an appropriate formulation of the associated over-the-air pilot-signaling. The mean-squared error performance of the overall corresponding estimation method is finally evaluated using extensive computer simulations which indicate that the non-reciprocity characteristics can be estimated efficiently and accurately, thus potentially facilitating large system-level performance gains in multi-user massive MIMO systems.},
  keywords = {channel coding;channel estimation;frequency response;mean square error methods;MIMO communication;precoding;radio transceivers;sparse matrices;time division multiplexing;wireless channels;sparsity-aided approach;precoded time division duplexing;massive multiple-input multiple-output systems;effective downlink channel;uplink channel;nonreciprocity characteristics;multiuser massive MIMO systems;massive MIMO base station;estimation method;massive MIMO channel nonreciprocity estimation;massive MIMO channel nonreciprocity modelling;frequency-response;transmitter chains;receiver chains;sparse matrix decomposition;BS transceiver nonreciprocity matrix estimator;over-the-air pilot-signaling;mean-squared error performance;extensive computer simulations;system-level performance gains;MIMO;Transceivers;Estimation;Channel estimation;Mutual coupling;Antenna arrays;Channel non-reciprocity;frequency-response mismatch;massive MIMO;mutual coupling;sparsity;time division duplexing (TDD)},
  doi = {10.23919/EUSIPCO.2017.8081680},
  issn = {2076-1465},
  month = {Aug},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2017/papers/1570346999.pdf},
}

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C.","Renfors, M.","Valkama, M."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","author":[{"firstnames":["O."],"propositions":[],"lastnames":["Raeesi"],"suffixes":[]},{"firstnames":["A."],"propositions":[],"lastnames":["Gokceoglu"],"suffixes":[]},{"firstnames":["P.","C."],"propositions":[],"lastnames":["Sofotasios"],"suffixes":[]},{"firstnames":["M."],"propositions":[],"lastnames":["Renfors"],"suffixes":[]},{"firstnames":["M."],"propositions":[],"lastnames":["Valkama"],"suffixes":[]}],"booktitle":"2017 25th European Signal Processing Conference (EUSIPCO)","title":"Modeling and estimation of massive MIMO channel non-reciprocity: Sparsity-aided approach","year":"2017","pages":"2596-2600","abstract":"In this paper, we study the estimation of channel non-reciprocity in precoded time division duplexing based massive multiple-input multiple-output (MIMO) systems. The considered channel non-reciprocity model covers both the frequency-response and the mutual coupling mismatches between the transmitter and the receiver chains of a massive MIMO basestation (BS). Based on the assumed non-reciprocity model, it is shown that the effective downlink channel can be decomposed as a product of the uplink channel and another sparse matrix, referred to as the BS transceiver non-reciprocity matrix. Stemming from such modeling, we then propose an efficient estimator of the BS transceiver non-reciprocity matrix exploiting its sparse nature, combined with an appropriate formulation of the associated over-the-air pilot-signaling. The mean-squared error performance of the overall corresponding estimation method is finally evaluated using extensive computer simulations which indicate that the non-reciprocity characteristics can be estimated efficiently and accurately, thus potentially facilitating large system-level performance gains in multi-user massive MIMO systems.","keywords":"channel coding;channel estimation;frequency response;mean square error methods;MIMO communication;precoding;radio transceivers;sparse matrices;time division multiplexing;wireless channels;sparsity-aided approach;precoded time division duplexing;massive multiple-input multiple-output systems;effective downlink channel;uplink channel;nonreciprocity characteristics;multiuser massive MIMO systems;massive MIMO base station;estimation method;massive MIMO channel nonreciprocity estimation;massive MIMO channel nonreciprocity modelling;frequency-response;transmitter chains;receiver chains;sparse matrix decomposition;BS transceiver nonreciprocity matrix estimator;over-the-air pilot-signaling;mean-squared error performance;extensive computer simulations;system-level performance gains;MIMO;Transceivers;Estimation;Channel estimation;Mutual coupling;Antenna arrays;Channel non-reciprocity;frequency-response mismatch;massive MIMO;mutual coupling;sparsity;time division duplexing (TDD)","doi":"10.23919/EUSIPCO.2017.8081680","issn":"2076-1465","month":"Aug","url":"https://www.eurasip.org/proceedings/eusipco/eusipco2017/papers/1570346999.pdf","bibtex":"@InProceedings{8081680,\n author = {O. Raeesi and A. Gokceoglu and P. C. Sofotasios and M. Renfors and M. Valkama},\n booktitle = {2017 25th European Signal Processing Conference (EUSIPCO)},\n title = {Modeling and estimation of massive MIMO channel non-reciprocity: Sparsity-aided approach},\n year = {2017},\n pages = {2596-2600},\n abstract = {In this paper, we study the estimation of channel non-reciprocity in precoded time division duplexing based massive multiple-input multiple-output (MIMO) systems. The considered channel non-reciprocity model covers both the frequency-response and the mutual coupling mismatches between the transmitter and the receiver chains of a massive MIMO basestation (BS). Based on the assumed non-reciprocity model, it is shown that the effective downlink channel can be decomposed as a product of the uplink channel and another sparse matrix, referred to as the BS transceiver non-reciprocity matrix. Stemming from such modeling, we then propose an efficient estimator of the BS transceiver non-reciprocity matrix exploiting its sparse nature, combined with an appropriate formulation of the associated over-the-air pilot-signaling. The mean-squared error performance of the overall corresponding estimation method is finally evaluated using extensive computer simulations which indicate that the non-reciprocity characteristics can be estimated efficiently and accurately, thus potentially facilitating large system-level performance gains in multi-user massive MIMO systems.},\n keywords = {channel coding;channel estimation;frequency response;mean square error methods;MIMO communication;precoding;radio transceivers;sparse matrices;time division multiplexing;wireless channels;sparsity-aided approach;precoded time division duplexing;massive multiple-input multiple-output systems;effective downlink channel;uplink channel;nonreciprocity characteristics;multiuser massive MIMO systems;massive MIMO base station;estimation method;massive MIMO channel nonreciprocity estimation;massive MIMO channel nonreciprocity modelling;frequency-response;transmitter chains;receiver chains;sparse matrix decomposition;BS transceiver nonreciprocity matrix estimator;over-the-air pilot-signaling;mean-squared error performance;extensive computer simulations;system-level performance gains;MIMO;Transceivers;Estimation;Channel estimation;Mutual coupling;Antenna arrays;Channel non-reciprocity;frequency-response mismatch;massive MIMO;mutual coupling;sparsity;time division duplexing (TDD)},\n doi = {10.23919/EUSIPCO.2017.8081680},\n issn = {2076-1465},\n month = {Aug},\n url = {https://www.eurasip.org/proceedings/eusipco/eusipco2017/papers/1570346999.pdf},\n}\n\n","author_short":["Raeesi, O.","Gokceoglu, A.","Sofotasios, P. 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