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
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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 |
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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 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: | https://discovery-pp.ucl.ac.uk/id/eprint/10059091 |
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