Elevation beamforming in a multi-cell full dimension massive MIMO system

Qurrat-Ul-Ain Nadeem, Abla Kammoun, Merouane Debbah, Mohamed-Slim Alouini

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations


The 3GPP Release-13 has recently introduced full-dimension multiple-input multiple-output (FD-MIMO) technology as a practical way to deploy massive MIMO arrays within feasible base station (BS) form factors through the use of active antenna systems with two-dimensional (2D) planar array structures. The 2D arrangement of antenna elements, where the elements in each antenna port are fed with downtilt weights, allows for adaptive electronic beamforming in the elevation as well as the conventional azimuth dimensions. This work focuses on the previously unaddressed problem of determining the optimal downtilt weight vectors for the antenna ports in each cell of a multi-cell multi-user system. The optimization criterion is to maximize the minimum signal to intra-cell interference ratio within a cell while constraining the inter-cell interference leakage. The quasi-optimal weight vectors are obtained through the application of semi-definite relaxation and Dinkelbach's method. The proposed algorithm performs better than the existing approximate schemes even under the effects of pilot contamination.
Original languageEnglish (US)
Title of host publication2018 IEEE Wireless Communications and Networking Conference (WCNC)
Number of pages6
ISBN (Print)9781538617342
StatePublished - Jun 11 2018

Bibliographical note

KAUST Repository Item: Exported on 2023-03-21
Acknowledgements: 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 Mérouane Debbah was supported by ERC Starting Grant 305123 MORE (Advanced Mathematical Tools for Complex Network Engineering).


Dive into the research topics of 'Elevation beamforming in a multi-cell full dimension massive MIMO system'. Together they form a unique fingerprint.

Cite this