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dc.contributor.authorHameed, Khalid W.H.*
dc.contributor.authorAbdulkhaleq, Ahmed M.*
dc.contributor.authorAl-Yasir, Yasir I.A.*
dc.contributor.authorOjaroudi Parchin, Naser*
dc.contributor.authorRayit, A.*
dc.contributor.authorAl Khambashi, M.*
dc.contributor.authorAbd-Alhameed, Raed A.*
dc.contributor.authorNoras, James M.*
dc.date.accessioned2018-11-29T11:37:58Z
dc.date.available2018-11-29T11:37:58Z
dc.date.issued2018-09-20
dc.identifier.citationHameed KWH, Abdulkhaleq AM, Al-Yasir YIA et al (2018) The Performance of SLNR Beamformers in Multi-User MIMO Systems. 9th International Conference on Broadband Communications, Networks, and Systems (Broadnets 2018) Sept 19-20, Faro, Portugal.en_US
dc.identifier.urihttp://hdl.handle.net/10454/16677
dc.descriptionYesen_US
dc.description.abstractBeamforming in multi-user MIMO (MU-MIMO) systems is a vital part of modern wireless communication systems. Researchers looking for best operational performance normally optimize the problem and then solve for best weight solutions. The weight optimization problem contains variables in numerator and dominator: this leads to so-called variable coupling, making the problem hard to solve. Formulating the optimization in terms of the signal to leakage and noise ratio (SLNR) helps in decoupling the problem variables. In this paper we study the performance of the SLNR with variable numbers of users and handset antennas. The results show that there is an optimum and the capacity curve is a concave over these two parameters. The performances of two further variations of this method are also considered.en_US
dc.language.isoenen_US
dc.rights© 2018 BROADNETS/EAI (European Alliance for Innovation) and the Authors. Reproduced with permission in accordance with the publisher's self-archiving policy.en_US
dc.subjectBeamformingen_US
dc.subjectGeneralized Eigenvalue decompositionen_US
dc.subjectMU-MIMOen_US
dc.subjectOptimal pointen_US
dc.subjectSLNRen_US
dc.titleThe Performance of SLNR Beamformers in Multi-User MIMO Systemsen_US
dc.status.refereedYesen_US
dc.date.Accepted2018-08-22
dc.date.Accepted2018-08-22
dc.typeConference paperen_US
dc.type.versionAccepted Manuscripten_US
refterms.dateFOA2018-11-29T11:37:58Z


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