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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Bhatia, Vimal | en_US |
dc.date.accessioned | 2022-03-17T01:00:00Z | - |
dc.date.accessioned | 2022-03-17T15:41:43Z | - |
dc.date.available | 2022-03-17T01:00:00Z | - |
dc.date.available | 2022-03-17T15:41:43Z | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | Mandloi, 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.2015.7091423 | en_US |
dc.identifier.isbn | 9781479918232 | - |
dc.identifier.other | EID(2-s2.0-84937118280) | - |
dc.identifier.uri | https://doi.org/10.1109/SPICES.2015.7091423 | - |
dc.identifier.uri | https://dspace.iiti.ac.in/handle/123456789/5373 | - |
dc.description.abstract | In 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.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
dc.source | 2015 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems, SPICES 2015 | en_US |
dc.subject | Antennas | en_US |
dc.subject | Bit error rate | en_US |
dc.subject | Errors | en_US |
dc.subject | Food products | en_US |
dc.subject | Gaussian noise (electronic) | en_US |
dc.subject | Mean square error | en_US |
dc.subject | MIMO systems | en_US |
dc.subject | Signal processing | en_US |
dc.subject | Telecommunication repeaters | en_US |
dc.subject | Trellis codes | en_US |
dc.subject | Turbo codes | en_US |
dc.subject | White noise | en_US |
dc.subject | Additive White Gaussian noise | en_US |
dc.subject | Antenna configurations | en_US |
dc.subject | Bit error rate (BER) performance | en_US |
dc.subject | Log likelihood ratios (LLR) | en_US |
dc.subject | Minimum mean squared error | en_US |
dc.subject | Single input single output | en_US |
dc.subject | Successive interference cancellation(SIC) | en_US |
dc.subject | Successive interference cancellations | en_US |
dc.subject | Iterative methods | en_US |
dc.title | Ordered iterative successive interference cancellation algorithm for large MIMO detection | en_US |
dc.type | Conference Paper | en_US |
Appears in Collections: | Department of Electrical Engineering |
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