Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/5373
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dc.contributor.authorBhatia, Vimalen_US
dc.date.accessioned2022-03-17T01:00:00Z-
dc.date.accessioned2022-03-17T15:41:43Z-
dc.date.available2022-03-17T01:00:00Z-
dc.date.available2022-03-17T15:41:43Z-
dc.date.issued2015-
dc.identifier.citationMandloi, M., & Bhatia, V. (2015). Ordered iterative successive interference cancellation algorithm for large MIMO detection. Paper presented at the 2015 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems, SPICES 2015, doi:10.1109/SPICES.2015.7091423en_US
dc.identifier.isbn9781479918232-
dc.identifier.otherEID(2-s2.0-84937118280)-
dc.identifier.urihttps://doi.org/10.1109/SPICES.2015.7091423-
dc.identifier.urihttps://dspace.iiti.ac.in/handle/123456789/5373-
dc.description.abstractIn this paper, we propose an Iterative Successive Interference Cancellation (ISIC) method for detecting the symbol vector in large MIMO systems. The minimum mean squared error (MMSE) estimate of the received symbol vector are used as an initial solution in ISIC algorithm. We then propose an ordered ISIC (OISIC) algorithm which uses the log likelihood ratio (LLR) based ordering in the detection sequence. The bit error rate (BER) performance of ISIC and OISIC algorithms is simulated for different antenna configurations in MIMO system. Simulation results show that OISIC algorithm outperforms MMSE and successive interference cancellation (SIC) based detection algorithms. Furthermore, the performance of the proposed algorithm improves with increase in antennas and approaches towards single-input single-output (SISO) additive white Gaussian noise (AWGN) performance which proves the effectiveness of OISIC algorithm for large MIMO systems. © 2015 IEEE.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.source2015 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems, SPICES 2015en_US
dc.subjectAntennasen_US
dc.subjectBit error rateen_US
dc.subjectErrorsen_US
dc.subjectFood productsen_US
dc.subjectGaussian noise (electronic)en_US
dc.subjectMean square erroren_US
dc.subjectMIMO systemsen_US
dc.subjectSignal processingen_US
dc.subjectTelecommunication repeatersen_US
dc.subjectTrellis codesen_US
dc.subjectTurbo codesen_US
dc.subjectWhite noiseen_US
dc.subjectAdditive White Gaussian noiseen_US
dc.subjectAntenna configurationsen_US
dc.subjectBit error rate (BER) performanceen_US
dc.subjectLog likelihood ratios (LLR)en_US
dc.subjectMinimum mean squared erroren_US
dc.subjectSingle input single outputen_US
dc.subjectSuccessive interference cancellation(SIC)en_US
dc.subjectSuccessive interference cancellationsen_US
dc.subjectIterative methodsen_US
dc.titleOrdered iterative successive interference cancellation algorithm for large MIMO detectionen_US
dc.typeConference Paperen_US
Appears in Collections:Department of Electrical Engineering

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