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dc.contributor.authorSarieddeen, Hadi
dc.contributor.authorAbdallah, Asmaa
dc.contributor.authorMansour, Mohammad M.
dc.contributor.authorAlouini, Mohamed-Slim
dc.contributor.authorAl-Naffouri, Tareq Y.
dc.date.accessioned2021-12-06T11:50:54Z
dc.date.available2021-12-06T11:50:54Z
dc.date.issued2021
dc.identifier.citationSarieddeen, H., Abdallah, A., Mansour, M. M., Alouini, M.-S., & Al-Naffouri, T. Y. (2021). Terahertz-Band MIMO-NOMA: Adaptive Superposition Coding and Subspace Detection. IEEE Open Journal of the Communications Society, 1–1. doi:10.1109/ojcoms.2021.3131769
dc.identifier.issn2644-125X
dc.identifier.doi10.1109/ojcoms.2021.3131769
dc.identifier.urihttp://hdl.handle.net/10754/673918
dc.description.abstractThe problem of efficient ultra-massive multipleinput multiple-output (UM-MIMO) data detection in terahertz (THz)-band non-orthogonal multiple access (NOMA) systems is considered. We argue that the most common THz NOMA configuration is power-domain superposition coding over quasioptical doubly-massive MIMO channels. We propose spatial tuning techniques that modify antenna subarray arrangements to enhance channel conditions. Towards recovering the superposed data at the receiver side, we propose a family of data detectors based on low-complexity channel matrix puncturing, in which higher-order detectors are dynamically formed from lower-order component detectors. The proposed solutions are first detailed for the case of superposition coding of multiple streams in pointto-point THz MIMO links. Then, the study is extended to multiuser NOMA, in which randomly distributed users get grouped into narrow cell sectors and are allocated different power levels depending on their proximity to the base station. Successive interference cancellation is shown to be carried with minimal performance and complexity costs under spatial tuning. Approximate bit error rate (BER) equations are derived, and an architectural design is proposed to illustrate complexity reductions. Under typical THz conditions, channel puncturing introduces more than an order of magnitude reduction in BER at high signal-to-noise ratios while reducing complexity by approximately 90%.
dc.description.sponsorshipWe thank Mr. Ahmed Magbool for his input on THz systemlevel simulations.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttps://ieeexplore.ieee.org/document/9634116/
dc.rights(c) 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
dc.subjectTHz communications
dc.subjectNOMA
dc.subjectUM-MIMO
dc.subjectsubspace detectors
dc.subjectchannel puncturing.
dc.titleTerahertz-Band MIMO-NOMA: Adaptive Superposition Coding and Subspace Detection
dc.typeArticle
dc.contributor.departmentCommunication Theory Lab
dc.contributor.departmentComputer, Electrical and Mathematical Science and Engineering (CEMSE) Division
dc.contributor.departmentElectrical and Computer Engineering Program
dc.identifier.journalIEEE Open Journal of the Communications Society
dc.eprint.versionPublisher's Version/PDF
dc.contributor.institutionDepartment of Electrical and Computer Engineering, American University of Beirut, Beirut 1107 2020, Lebanon.
dc.identifier.pages1-1
dc.identifier.arxivid2103.02348
kaust.personSarieddeen, Hadi
kaust.personAbdallah, Asmaa
kaust.personAlouini, Mohamed-Slim
kaust.personAl-Naffouri, Tareq Y.
refterms.dateFOA2021-12-06T11:52:05Z


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