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Lookup NU author(s): Ali Al-Askery, Professor Harris Tsimenidis, Professor Said Boussakta
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In this paper, the performance of massive multiple input multiple output (MIMO) systems is investigated using reduced detection implementations for MIMO detectors. The motivation for this paper is the need for a reduced complexity detector to be implemented as an optimum massive MIMO detector with low precision. We used different decomposition schemes to build the linear detector based on the (IEEE 754) standard in addition to user-defined precision for selected detectors. Simulations are used to demonstrate the behaviour of several matrix inversion schemes under reduced hit resolution. The numerical results demonstrate improved performance when using QRD and pivoted LDLT decomposition schemes at reduced precision
Author(s): Al-Askery AJ, Tsimenidis CC, Boussakta S
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: 23rd European Signal Processing Conference (EUSIPCO), 2015
Year of Conference: 2015
Pages: 919-923
Print publication date: 01/01/2015
Acceptance date: 01/01/1900
Publisher: IEEE
URL: http://dx.doi.org/10.1109/EUSIPCO.2015.7362517
DOI: 10.1109/EUSIPCO.2015.7362517
Library holdings: Search Newcastle University Library for this item
ISBN: 9780992862633
