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Technical University of Crete
Technical University of Crete
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| URI: | http://purl.tuc.gr/dl/dias/5C06CCC9-6504-4FB1-A513-5042ABF5A818 | ||
| Year | 2018 | ||
| Type of Item | Peer-Reviewed Journal Publication | ||
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| Bibliographic Citation | P. 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.2018.2844346 https://doi.org/10.1109/LCOMM.2018.2844346 | ||
| Appears in Collections |
This 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.
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