The BOX-LASSO with application to GSSK modulation in massive MIMO systems

Ismail Ben Atitallah, Christos Thrampoulidis, Abla Kammoun, Tareq Y. Al-Naffouri, Mohamed-Slim Alouini, Babak Hassibi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

The BOX-LASSO is a variant of the popular LASSO that includes an additional box-constraint. We propose its use as a decoder in modern Multiple Input Multiple Output (MIMO) communication systems with modulation methods such as the Generalized Space Shift Keying (GSSK) modulation, which produces constellation vectors that are inherently sparse and with bounded elements. In that direction, we prove novel explicit asymptotic characterizations of the squared-error and of the per-element error rate of the BOX-LASSO, under iid Gaussian measurements. In particular, the theoretical predictions can be used to quantify the improved performance of the BOX-LASSO, when compared to the previously used standard LASSO. We include simulation results that validate both these premises and our theoretical predictions.
Original languageEnglish (US)
Title of host publication2017 IEEE International Symposium on Information Theory (ISIT)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1082-1086
Number of pages5
ISBN (Print)9781509040964
DOIs
StatePublished - Aug 29 2017

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