Profile picture

Nicolae Chiurtu

EPFLICIC-SSCSSC-ENS

Website: https://ssc.epfl.ch

Current work

Design and implementation of high speed serial links.
Nicolae Chiurtu received his Dipl. El.-Ing. and the Master of Science degrees from the Electronics and Telecommunications Faculty, University "Politehnica" Bucharest. He obtained his Ph.D. degree in communication systems from EPFL, I&C faculty. His thesis work investigated multiple antenna (MIMO) systems for mobile communications and was awarded the Dimitris N. Chorafas Foundation prize for "significant advancements in the understanding of MIMO systems usefulness in wireless communications". He was a postdoctoral fellow at Stanford University in the Smart Antennas Research Group (SARG) doing research on OFDMA networks, and also a consultant for a WiMax (IEEE 802.16e standard) startup in Silicon Valley. He is co-author of two US patents and published a dozen of articles in international scientific publications. His research interests include, among other topics, multiple antenna techniques, OFDMA systems, signal processing, information theory, WiMax and LTE systems, relay-based cooperative networks, localization systems and software defined radios.

Low EMI signaling for parallel conductor interfaces

A. ShokrollahiN. Chiurtu

US11831366 ; US2023336266 ; EP4236217 ; EP4236217 ; US2023223994 ; US11683113 ; EP3100424 ; EP3100424 ; US11611377 ; US2022329467 ; US11374801 ; CN110166217 ; CN110266615 ; KR102306505 ; US2021288740 ; KR102299815 ; US2021258046 ; JP6882374 ; US11025359 ; US10985806 ; KR102241045 ; KR20210042428 ; EP2997704 ; CN107346977 ; EP3211797 ; US10574370 ; EP2979388 ; US10560293 ; CN104995612 ; KR102059209 ; US2019341972 ; JP2019195184 ; US10468078 ; US2019334647 ; CN110266615 ; US2019268081 ; CN110166217 ; US10355756 ; CN105681233 ; US10348436 ; JP6538916 ; CN105393512 ; CN105379170 ; CN105993151 ; US10291338 ; US2019123943 ; EP2926260 ; EP2893534 ; US2019028308 ; US10164809 ; US2018351670 ; US10091035 ; US10044452 ; JP2018121362 ; CN105122758 ; US2018183497 ; US9985745 ; US9985634 ; JP6317474 ; US9929818 ; US2018076912 ; KR101837515 ; US2018069733 ; US9838017 ; US9825677 ; US9825723 ; CN107346977 ; US9819522 ; US2017294985 ; US2017279642 ; CN103370879 ; EP3211797 ; US2017200482 ; CN104813401 ; US9692555 ; US9686107 ; US9667379 ; US9607673 ; EP2997704 ; US9596109 ; JP2017506048 ; US9577664 ; US2017048024 ; US9564994 ; US2017012804 ; CN103444144 ; EP3100424 ; US2016352354 ; US9485057 ; US9479369 ; EP2979388 ; KR20160117505 ; CN105993151 ; US2016285456 ; US2016277222 ; US9450791 ; US9450744 ; US9424908 ; EP2926260 ; US9413384 ; US2016218894 ; US9401828 ; US2016211929 ; US2016197656 ; US2016197747 ; US2016180913 ; US2016173219 ; CN105681233 ; US9369312 ; US9362974 ; US9362947 ; US9362962 ; US9357036 ; US2016142181 ; US9300503 ; EP2997704 ; US9288089 ; US9288082 ; CN105393512 ; CN105379170 ; US9275720 ; CN102986183 ; US9258154 ; US2016036461 ; EP2979388 ; US9251873 ; US9246713 ; US9234828 ; US2015381768 ; US2015381346 ; KR20150144328 ; US2015349835 ; CN105122758 ; US9203402 ; US2015341193 ; CN104995612 ; EP2926260 ; US9154252 ; US2015256326 ; US9124557 ; US9106220 ; US9106238 ; US2015222458 ; WO2015117102 ; US9100232 ; CN104813401 ; EP2893534 ; US9083576 ; US9077386 ; US9071476 ; US9059816 ; US9015566 ; US9014251 ; US9014295 ; US2015092532 ; US8989317 ; US2015063494 ; WO2015031845 ; US2015066230 ; WO2015031520 ; EP2676413 ; WO2014210074 ; US2014376668 ; US8880783 ; WO2014172377 ; US2014286387 ; US2014260607 ; US2014254642 ; US2014226734 ; WO2014124450 ; WO2014113727 ; KR20140091665 ; US2014198837 ; US2014177645 ; US8755426 ; EP2729875 ; US8718184 ; WO2014037116 ; US2014063915 ; US8649445 ; KR20140014174 ; US2014016724 ; EP2676413 ; CN103444144 ; US8593305 ; EP2659592 ; CN103370879 ; US8539318 ; CN102986183 ; US2013013870 ; WO2013004701 ; US2013010892 ; WO2012089803 ; US2012213299 ; WO2012110634 ; WO2012089803 ; US2011302478 ; US2011299555 ; WO2011151469 ; US2011268225 ; WO2011134678 . 2016.

Software-Defined Radio Implementation of Multiple Antenna Systems using Low-Density Parity-Check

N. ChiurtuL. GasserP. RoudB. Rimoldi

2005. p. 527-531. DOI : 10.1109/WCNC.2005.1424556.

Impact of correlation and coupling on the capacity of MIMO systems

N. ChiurtuB. RimoldiE. TelatarV. Pauli

2004. IEEE International Symposium on Signal Processing and Information Technology, Darmstadt, December 14-17, 2003. p. 154-157. DOI : 10.1109/ISSPIT.2003.1341083.

Dense multiple antenna systems

N. ChiurtuB. RimoldiE. Telatar

2001. IEEE Information Theory Workshop, Cairns, September 2-7, 2001. p. 108.109. DOI : 10.1109/ITW.2001.955153.

On the capacity of multi-antenna Gaussian channels

N. ChiurtuB. RimoldiE. Telatar

2001. IEEE International Symposium on Information Theory 2001, Washington, June 24-29, 2001. p. 53. DOI : 10.1109/ISIT.2001.935916.

Dense multiple antenna systems

N. ChiurtuB. RimoldiE. Telatar

2001. IEEE Information Theory Workshop 2001, Cairns, Australia, 2 - 7 September 2001. p. 108-109. DOI : 10.1109/ITW.2001.955153.

Capacity of packed multiple antenna systems via unit cost capacity

N. ChiurtuB. RimoldiE. Telatar

2001.

Varying the antenna-locations to optimize the capacity of multi-antenna Gaussian channels

N. ChiurtuB. Rimoldi

2000. p. 3121-3123. DOI : 10.1109/ICASSP.2000.861198.

Infoscience

Low EMI signaling for parallel conductor interfaces

A. ShokrollahiN. Chiurtu

US11831366 ; US2023336266 ; EP4236217 ; EP4236217 ; US2023223994 ; US11683113 ; EP3100424 ; EP3100424 ; US11611377 ; US2022329467 ; US11374801 ; CN110166217 ; CN110266615 ; KR102306505 ; US2021288740 ; KR102299815 ; US2021258046 ; JP6882374 ; US11025359 ; US10985806 ; KR102241045 ; KR20210042428 ; EP2997704 ; CN107346977 ; EP3211797 ; US10574370 ; EP2979388 ; US10560293 ; CN104995612 ; KR102059209 ; US2019341972 ; JP2019195184 ; US10468078 ; US2019334647 ; CN110266615 ; US2019268081 ; CN110166217 ; US10355756 ; CN105681233 ; US10348436 ; JP6538916 ; CN105393512 ; CN105379170 ; CN105993151 ; US10291338 ; US2019123943 ; EP2926260 ; EP2893534 ; US2019028308 ; US10164809 ; US2018351670 ; US10091035 ; US10044452 ; JP2018121362 ; CN105122758 ; US2018183497 ; US9985745 ; US9985634 ; JP6317474 ; US9929818 ; US2018076912 ; KR101837515 ; US2018069733 ; US9838017 ; US9825677 ; US9825723 ; CN107346977 ; US9819522 ; US2017294985 ; US2017279642 ; CN103370879 ; EP3211797 ; US2017200482 ; CN104813401 ; US9692555 ; US9686107 ; US9667379 ; US9607673 ; EP2997704 ; US9596109 ; JP2017506048 ; US9577664 ; US2017048024 ; US9564994 ; US2017012804 ; CN103444144 ; EP3100424 ; US2016352354 ; US9485057 ; US9479369 ; EP2979388 ; KR20160117505 ; CN105993151 ; US2016285456 ; US2016277222 ; US9450791 ; US9450744 ; US9424908 ; EP2926260 ; US9413384 ; US2016218894 ; US9401828 ; US2016211929 ; US2016197656 ; US2016197747 ; US2016180913 ; US2016173219 ; CN105681233 ; US9369312 ; US9362974 ; US9362947 ; US9362962 ; US9357036 ; US2016142181 ; US9300503 ; EP2997704 ; US9288089 ; US9288082 ; CN105393512 ; CN105379170 ; US9275720 ; CN102986183 ; US9258154 ; US2016036461 ; EP2979388 ; US9251873 ; US9246713 ; US9234828 ; US2015381768 ; US2015381346 ; KR20150144328 ; US2015349835 ; CN105122758 ; US9203402 ; US2015341193 ; CN104995612 ; EP2926260 ; US9154252 ; US2015256326 ; US9124557 ; US9106220 ; US9106238 ; US2015222458 ; WO2015117102 ; US9100232 ; CN104813401 ; EP2893534 ; US9083576 ; US9077386 ; US9071476 ; US9059816 ; US9015566 ; US9014251 ; US9014295 ; US2015092532 ; US8989317 ; US2015063494 ; WO2015031845 ; US2015066230 ; WO2015031520 ; EP2676413 ; WO2014210074 ; US2014376668 ; US8880783 ; WO2014172377 ; US2014286387 ; US2014260607 ; US2014254642 ; US2014226734 ; WO2014124450 ; WO2014113727 ; KR20140091665 ; US2014198837 ; US2014177645 ; US8755426 ; EP2729875 ; US8718184 ; WO2014037116 ; US2014063915 ; US8649445 ; KR20140014174 ; US2014016724 ; EP2676413 ; CN103444144 ; US8593305 ; EP2659592 ; CN103370879 ; US8539318 ; CN102986183 ; US2013013870 ; WO2013004701 ; US2013010892 ; WO2012089803 ; US2012213299 ; WO2012110634 ; WO2012089803 ; US2011302478 ; US2011299555 ; WO2011151469 ; US2011268225 ; WO2011134678 . 2016.

Software-Defined Radio Implementation of Multiple Antenna Systems using Low-Density Parity-Check

N. ChiurtuL. GasserP. RoudB. Rimoldi

2005. p. 527-531. DOI : 10.1109/WCNC.2005.1424556.

Impact of correlation and coupling on the capacity of MIMO systems

N. ChiurtuB. RimoldiE. TelatarV. Pauli

2004. IEEE International Symposium on Signal Processing and Information Technology, Darmstadt, December 14-17, 2003. p. 154-157. DOI : 10.1109/ISSPIT.2003.1341083.

Dense multiple antenna systems

N. ChiurtuB. RimoldiE. Telatar

2001. IEEE Information Theory Workshop, Cairns, September 2-7, 2001. p. 108.109. DOI : 10.1109/ITW.2001.955153.

On the capacity of multi-antenna Gaussian channels

N. ChiurtuB. RimoldiE. Telatar

2001. IEEE International Symposium on Information Theory 2001, Washington, June 24-29, 2001. p. 53. DOI : 10.1109/ISIT.2001.935916.

Dense multiple antenna systems

N. ChiurtuB. RimoldiE. Telatar

2001. IEEE Information Theory Workshop 2001, Cairns, Australia, 2 - 7 September 2001. p. 108-109. DOI : 10.1109/ITW.2001.955153.

Capacity of packed multiple antenna systems via unit cost capacity

N. ChiurtuB. RimoldiE. Telatar

2001.

Varying the antenna-locations to optimize the capacity of multi-antenna Gaussian channels

N. ChiurtuB. Rimoldi

2000. p. 3121-3123. DOI : 10.1109/ICASSP.2000.861198.

Courses

Modern digital communications: a hands-on approach

COM-430

This course complements the theoretical knowledge learned in PDC with more advanced topics such as OFDM, MIMO, fading channels, and GPS positioning. This knowledge is put into practice with hands-on exercises based on Matlab or Python (at choice) and on a software-defined radio platform.