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Low-complexity multiuser QAM detection for uplink 1-bit massive MIMO

Alevizos Panagiotis

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URIhttp://purl.tuc.gr/dl/dias/5C06CCC9-6504-4FB1-A513-5042ABF5A818-
Identifierhttps://doi.org/10.1109/LCOMM.2018.2844346-
Identifierhttps://ieeexplore.ieee.org/document/8374068-
Languageen-
Extent4 pagesen
TitleLow-complexity multiuser QAM detection for uplink 1-bit massive MIMOen
CreatorAlevizos Panagiotisen
CreatorΑλεβιζος Παναγιωτηςel
PublisherInstitute of Electrical and Electronics Engineersen
Content SummaryThis letter studies multiuser detection for 1-bit massive multiple-input multiple-output systems in order to diminish the power consumption at the base station (BS). A low-complexity near-maximum-likelihood (nML) multiuser detection algorithm is designed, assuming that each BS antenna port is connected with a pair of single-bit resolution analog-To-digital converters and each user equipment (UE) transmits symbols from a quadrature amplitude modulation constellation. First, a novel convex program is formulated as a convex surrogate of the ML detector and subsequently solved through an accelerated first-order method. Then, the solution of the convex optimization problem is harnessed to solve a refined combinatorial problem with reduced search space, requiring non-exponential complexity on the number of the UEs. Judicious simulation study corroborates the efficacy of the resulting two-phase detection algorithm. The proposed two-phase algorithm can achieve symbol error rate performance close to the ML detector, with significantly reduced computation cost compared with the nML detection schemes in prior art. en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2019-06-19-
Date of Publication2018-
SubjectMassive MIMOen
SubjectMaximum-likelihood detectionen
SubjectQuadrature amplitude modulationen
SubjectUplinken
Bibliographic CitationP. N. Alevizos, "Low-complexity multiuser QAM detection for uplink 1-bit massive MIMO," IEEE Commun. Lett., vol. 22, no. 8, pp. 1592-1595, Aug. 2018. doi: 10.1109/LCOMM.2018.2844346en

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