dc.contributor.author Alrashdi, Ayed dc.contributor.author Sifaou, Houssem dc.contributor.author Kammoun, Abla dc.contributor.author Alouini, Mohamed-Slim dc.contributor.author Al-Naffouri, Tareq Y. dc.date.accessioned 2020-07-29T13:08:02Z dc.date.available 2020-07-29T13:08:02Z dc.date.issued 2020-07-27 dc.identifier.citation Alrashdi, 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.isbn 978-1-7281-5090-1 dc.identifier.issn 1550-3607 dc.identifier.doi 10.1109/ICC40277.2020.9149198 dc.identifier.uri http://hdl.handle.net/10754/664498 dc.description.abstract In 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.publisher Institute of Electrical and Electronics Engineers (IEEE) dc.relation.url https://ieeexplore.ieee.org/document/9149198/ dc.relation.url https://ieeexplore.ieee.org/document/9149198/ dc.relation.url https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9149198 dc.rights Archived with thanks to IEEE dc.subject least squares dc.subject BER dc.subject MSE dc.subject box relaxation dc.subject asymptotic performance dc.subject Gaussian processes dc.title Box-Relaxation for BPSK Recovery in Massive MIMO: A Precise Analysis under Correlated Channels dc.type Conference Paper dc.contributor.department Communication Theory Lab dc.contributor.department Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division dc.contributor.department Electrical Engineering dc.contributor.department Electrical Engineering Program dc.conference.date 7-11 June 2020 dc.conference.name ICC 2020 - 2020 IEEE International Conference on Communications (ICC) dc.conference.location Dublin, Ireland dc.eprint.version Post-print kaust.person Alrashdi, Ayed Mofareh Bakheet kaust.person Sifaou, Houssem kaust.person Kammoun, Abla kaust.person Alouini, Mohamed-Slim kaust.person Al-Naffouri, Tareq Y. refterms.dateFOA 2020-08-09T05:53:07Z dc.date.published-online 2020-07-27 dc.date.published-print 2020-06
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