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A Mixed-Integer Programming Approach to Interference Exploitation for Massive-MIMO

Amadori, PV; Masouros, C; (2018) A Mixed-Integer Programming Approach to Interference Exploitation for Massive-MIMO. In: 2018 IEEE Wireless Communications and Networking Conference Workshops (WCNCW). (pp. pp. 107-112). IEEE Green open access

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Abstract

A novel low-complexity transmission scheme for Massive Multiuser Multi-Input Multi-Output (M-MU-MIMO) is proposed, where Transmit Antenna Selection (TAS) and beam-forming are jointly performed to exploit multiuser interference. Two separate solutions to the deriving optimization problem are proposed: a mixed-integer programming approach that can optimally solve the TAS-beamforming problem and a heuristic convex approach, based on the assumption of matched filtering beamforming. Numerical results prove that the proposed multiuser interference exploiting approaches are able to greatly outperform previous state-of-the-art schemes, where TAS and beamforming are disjointedly solved.

Type: Proceedings paper
Title: A Mixed-Integer Programming Approach to Interference Exploitation for Massive-MIMO
Event: IEEE Wireless Communications and Networking Conference (WCNC), 15-18 April 2018, Barcelona, Spain
Location: Barcelona, SPAIN
Dates: 15 April 2018 - 18 April 2018
ISBN-13: 978-1-5386-1154-8
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/WCNCW.2018.8368973
Publisher version: https://doi.org/10.1109/WCNCW.2018.8368973
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Massive MIMO, Multiuser MIMO, Antenna selection, Convex Beamforming, Interference optimization
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: http://discovery.ucl.ac.uk/id/eprint/10059091
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