Performance Analysis of Beamforming in MU-MIMO Systems for Rayleigh Fading Channels

Handle URI:
http://hdl.handle.net/10754/623645
Title:
Performance Analysis of Beamforming in MU-MIMO Systems for Rayleigh Fading Channels
Authors:
Hassan, Ahmad K. ( 0000-0001-8048-6853 ) ; Moinuddin, Muhammad; Al-Saggaf, Ubaid M.; Al-Naffouri, Tareq Y.
Abstract:
This paper characterizes the performance metrics of MU-MIMO systems under Rayleigh fading channels in the presence of both cochannel interference and additive noise with unknown channel state information and known correlation matrices. In the first task, we derive analytical expressions for the cumulative distribution function of the instantaneous signal-to-interference-plus-noise ratio (SINR) for any deterministic beamvectors. As a second task, exact closed-form expressions are derived for the instantaneous capacity, the upper bound on ergodic capacity, and the Gram-Schmidt orthogonalization-based ergodic capacity for similar intra-cell correlation coefficients. Finally, we present the utility of several structured-diagonalization techniques, which can achieve the tractability for the approximate solution of ergodic capacity for both similar as well as different intra-cell correlation matrices. The novelty of this paper is to formulate the received SINR in terms of indefinite quadratic forms, which allows us to use complex residue theory to characterize the system behavior. The analytical expressions obtained closely match simulation results.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Electrical Engineering Program
Citation:
Hassan AK, Moinuddin M, Al-Saggaf UM, Al-Naffouri TY (2017) Performance Analysis of Beamforming in MU-MIMO Systems for Rayleigh Fading Channels. IEEE Access 5: 3709–3720. Available: http://dx.doi.org/10.1109/access.2017.2682791.
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
IEEE Access
Issue Date:
25-Mar-2017
DOI:
10.1109/access.2017.2682791
Type:
Article
ISSN:
2169-3536
Sponsors:
This project was funded by the Deanship of Scientific Research (DSR) at King Abdulaziz University, Jeddah, under grant No. (G/563/135/37). The authors, therefore, acknowledge with thanks DSR for their technical and financial support.
Additional Links:
http://ieeexplore.ieee.org/document/7886355/
Appears in Collections:
Articles; Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorHassan, Ahmad K.en
dc.contributor.authorMoinuddin, Muhammaden
dc.contributor.authorAl-Saggaf, Ubaid M.en
dc.contributor.authorAl-Naffouri, Tareq Y.en
dc.date.accessioned2017-05-17T07:41:40Z-
dc.date.available2017-05-17T07:41:40Z-
dc.date.issued2017-03-25en
dc.identifier.citationHassan AK, Moinuddin M, Al-Saggaf UM, Al-Naffouri TY (2017) Performance Analysis of Beamforming in MU-MIMO Systems for Rayleigh Fading Channels. IEEE Access 5: 3709–3720. Available: http://dx.doi.org/10.1109/access.2017.2682791.en
dc.identifier.issn2169-3536en
dc.identifier.doi10.1109/access.2017.2682791en
dc.identifier.urihttp://hdl.handle.net/10754/623645-
dc.description.abstractThis paper characterizes the performance metrics of MU-MIMO systems under Rayleigh fading channels in the presence of both cochannel interference and additive noise with unknown channel state information and known correlation matrices. In the first task, we derive analytical expressions for the cumulative distribution function of the instantaneous signal-to-interference-plus-noise ratio (SINR) for any deterministic beamvectors. As a second task, exact closed-form expressions are derived for the instantaneous capacity, the upper bound on ergodic capacity, and the Gram-Schmidt orthogonalization-based ergodic capacity for similar intra-cell correlation coefficients. Finally, we present the utility of several structured-diagonalization techniques, which can achieve the tractability for the approximate solution of ergodic capacity for both similar as well as different intra-cell correlation matrices. The novelty of this paper is to formulate the received SINR in terms of indefinite quadratic forms, which allows us to use complex residue theory to characterize the system behavior. The analytical expressions obtained closely match simulation results.en
dc.description.sponsorshipThis project was funded by the Deanship of Scientific Research (DSR) at King Abdulaziz University, Jeddah, under grant No. (G/563/135/37). The authors, therefore, acknowledge with thanks DSR for their technical and financial support.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.urlhttp://ieeexplore.ieee.org/document/7886355/en
dc.rights(c) 20xx 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. Released under the IEEE Open Access Publishing Agreement.en
dc.rights.urihttp://www.ieee.org/publications_standards/publications/rights/oa_author_choices.htmlen
dc.subjectIndefinite quadratic formsen
dc.subjectoutage probabilityen
dc.subjectchannel capacityen
dc.subjectantenna diversityen
dc.subjectSINR analysisen
dc.titlePerformance Analysis of Beamforming in MU-MIMO Systems for Rayleigh Fading Channelsen
dc.typeArticleen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentElectrical Engineering Programen
dc.identifier.journalIEEE Accessen
dc.eprint.versionPublisher's Version/PDFen
dc.contributor.institutionCenter of Excellence in Intelligent Engineering Systems, King Abdulaziz University, Jeddah 21589, Saudi Arabiaen
dc.contributor.institutionDepartment of Electrical and Computer Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabiaen
kaust.authorAl-Naffouri, Tareq Y.en
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