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dc.contributor.authorAlrashdi, Ayed
dc.contributor.authorSifaou, Houssem
dc.contributor.authorKammoun, Abla
dc.contributor.authorAlouini, Mohamed-Slim
dc.contributor.authorAl-Naffouri, Tareq Y.
dc.date.accessioned2020-07-29T13:08:02Z
dc.date.available2020-07-29T13:08:02Z
dc.date.issued2020-07-27
dc.identifier.citationAlrashdi, A. M., Sifaou, H., Kammoun, A., Alouini, M.-S., & Al-Naffouri, T. Y. (2020). Box-Relaxation for BPSK Recovery in Massive MIMO: A Precise Analysis under Correlated Channels. ICC 2020 - 2020 IEEE International Conference on Communications (ICC). doi:10.1109/icc40277.2020.9149198
dc.identifier.isbn978-1-7281-5090-1
dc.identifier.issn1550-3607
dc.identifier.doi10.1109/ICC40277.2020.9149198
dc.identifier.urihttp://hdl.handle.net/10754/664498
dc.description.abstractIn this paper, we consider the problem of recovering a binary phase shift keying (BPSK) modulated signal in a massive multiple-input-multiple-output (MIMO) system. The recovery process is done using the box-relaxation method, in which the discrete set $\{\pm 1\}^{n}$ is relaxed to the convex set $[-1,\ +1]^{n}$ and solved by a convex optimization program followed by hard thresholding. We assume that the system has a Gaussian channel matrix with one sided left correlation. The entries of the noise vector are assumed to be independent and identically distributed (iid $\rangle$ zero-mean Gaussian. In this work, we precisely characterize the mean squared error (MSE) and the bit error rate (BER) of the box-relaxation decoder in the asymptotic regime where both dimensions grow simultaneously large at a fixed ratio. Numerical simulations validate the theoretical expressions derived in this paper.
dc.publisherIEEE
dc.relation.urlhttps://ieeexplore.ieee.org/document/9149198/
dc.relation.urlhttps://ieeexplore.ieee.org/document/9149198/
dc.relation.urlhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9149198
dc.rightsArchived with thanks to IEEE
dc.subjectleast squares
dc.subjectBER
dc.subjectMSE
dc.subjectbox relaxation
dc.subjectasymptotic performance
dc.subjectGaussian processes
dc.titleBox-Relaxation for BPSK Recovery in Massive MIMO: A Precise Analysis under Correlated Channels
dc.typeConference Paper
dc.contributor.departmentCommunication Theory Lab
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering
dc.contributor.departmentElectrical Engineering Program
dc.conference.date7-11 June 2020
dc.conference.nameICC 2020 - 2020 IEEE International Conference on Communications (ICC)
dc.conference.locationDublin, Ireland
dc.eprint.versionPost-print
kaust.personAlrashdi, Ayed Mofareh Bakheet
kaust.personSifaou, Houssem
kaust.personKammoun, Abla
kaust.personAlouini, Mohamed-Slim
kaust.personAl-Naffouri, Tareq Y.
refterms.dateFOA2020-08-09T05:53:07Z
dc.date.published-online2020-07-27
dc.date.published-print2020-06


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