Design of 5G Full Dimension Massive MIMO Systems

Handle URI:
http://hdl.handle.net/10754/625886
Title:
Design of 5G Full Dimension Massive MIMO Systems
Authors:
Nadeem, Qurrat-Ul-Ain ( 0000-0001-8423-3482 ) ; Kammoun, Abla ( 0000-0002-0195-3159 ) ; Debbah, Merouane; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 )
Abstract:
This work discusses full-dimension multiple-inputmultiple- output (FD-MIMO) technology, which is currently an active area of research and standardization in wireless communications for evolution towards Fifth Generation (5G) cellular systems. FD-MIMO utilizes an active antenna system (AAS) with a two-dimensional (2D) planar array structure, that not only allows a large number of antenna elements to be packed within feasible base station form factors but also provides the ability of adaptive electronic beamforming in the threedimensional (3D) space. However, the compact structure of largescale planar arrays drastically increases the spatial correlation in FD-MIMO systems. In order to account for its effects, the generalized spatial correlation functions for channels constituted by individual elements and overall antenna ports in the AAS are derived. Exploiting the quasi-static channel covariance matrices of users, the problem of determining the optimal downtilt weight vector for antenna ports, which maximizes the minimum signalto- interference ratio of a multi-user multiple-input-single-output system, is formulated as a fractional optimization problem. A quasi-optimal solution is obtained through the application of semi-definite relaxation and Dinkelbach’s method. Finally, the user-group specific elevation beamforming scenario is devised, which offers significant performance gains as confirmed through simulations. These results have direct application in the analysis of 5G FD-MIMO systems.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Citation:
Nadeem Q-U-A, Kammoun A, Debbah M, Alouini M-S (2017) Design of 5G Full Dimension Massive MIMO Systems. IEEE Transactions on Communications: 1–1. Available: http://dx.doi.org/10.1109/TCOMM.2017.2762685.
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
IEEE Transactions on Communications
Issue Date:
13-Oct-2017
DOI:
10.1109/TCOMM.2017.2762685
Type:
Article
ISSN:
0090-6778
Sponsors:
The work of Q.-U.-A. Nadeem, A. Kammoun and M. -S. Alouini was supported by a CRG4 grant from the Office of Competitive Research Funding (OCRF) at KAUST. The work of M´erouane Debbah was supported by the ERC Starting Grant 305123 MORE (Advanced Mathematical Tools for Complex Network Engineering).
Additional Links:
http://ieeexplore.ieee.org/document/8067436/
Appears in Collections:
Articles; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorNadeem, Qurrat-Ul-Ainen
dc.contributor.authorKammoun, Ablaen
dc.contributor.authorDebbah, Merouaneen
dc.contributor.authorAlouini, Mohamed-Slimen
dc.date.accessioned2017-10-17T11:47:39Z-
dc.date.available2017-10-17T11:47:39Z-
dc.date.issued2017-10-13en
dc.identifier.citationNadeem Q-U-A, Kammoun A, Debbah M, Alouini M-S (2017) Design of 5G Full Dimension Massive MIMO Systems. IEEE Transactions on Communications: 1–1. Available: http://dx.doi.org/10.1109/TCOMM.2017.2762685.en
dc.identifier.issn0090-6778en
dc.identifier.doi10.1109/TCOMM.2017.2762685en
dc.identifier.urihttp://hdl.handle.net/10754/625886-
dc.description.abstractThis work discusses full-dimension multiple-inputmultiple- output (FD-MIMO) technology, which is currently an active area of research and standardization in wireless communications for evolution towards Fifth Generation (5G) cellular systems. FD-MIMO utilizes an active antenna system (AAS) with a two-dimensional (2D) planar array structure, that not only allows a large number of antenna elements to be packed within feasible base station form factors but also provides the ability of adaptive electronic beamforming in the threedimensional (3D) space. However, the compact structure of largescale planar arrays drastically increases the spatial correlation in FD-MIMO systems. In order to account for its effects, the generalized spatial correlation functions for channels constituted by individual elements and overall antenna ports in the AAS are derived. Exploiting the quasi-static channel covariance matrices of users, the problem of determining the optimal downtilt weight vector for antenna ports, which maximizes the minimum signalto- interference ratio of a multi-user multiple-input-single-output system, is formulated as a fractional optimization problem. A quasi-optimal solution is obtained through the application of semi-definite relaxation and Dinkelbach’s method. Finally, the user-group specific elevation beamforming scenario is devised, which offers significant performance gains as confirmed through simulations. These results have direct application in the analysis of 5G FD-MIMO systems.en
dc.description.sponsorshipThe work of Q.-U.-A. Nadeem, A. Kammoun and M. -S. Alouini was supported by a CRG4 grant from the Office of Competitive Research Funding (OCRF) at KAUST. The work of M´erouane Debbah was supported by the ERC Starting Grant 305123 MORE (Advanced Mathematical Tools for Complex Network Engineering).en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.urlhttp://ieeexplore.ieee.org/document/8067436/en
dc.rights(c) 2017 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.en
dc.subjectFull-dimension multiple-input-multiple-output (FD-MIMO)en
dc.subjectelevation beamformingen
dc.subjectspatial correlationen
dc.subjectFifth Generation (5G)en
dc.subjectactive antenna system (AAS)en
dc.titleDesign of 5G Full Dimension Massive MIMO Systemsen
dc.typeArticleen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journalIEEE Transactions on Communicationsen
dc.eprint.versionPost-printen
dc.contributor.institutionCentraleSupélec, Gif-sur-Yvette, France and Mathematical and Algorithmic Sciences Lab, Huawei France R&D, Paris, France.en
kaust.authorNadeem, Qurrat-Ul-Ainen
kaust.authorKammoun, Ablaen
kaust.authorAlouini, Mohamed-Slimen
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