Fixed-point arithmetic detectors for massive MIMO-OFDM systems

• Published in: 2015 23rd European Signal Processing Conference (EUSIPCO) pp. 919 - 923
• Main Authors: Al-Askery, Ali J., Tsimenidis, Charalampos C., Boussakta, Said
• Format: Conference Proceeding
• Language: English
• Published: EURASIP 01-08-2015
• Subjects: Complexity theory; Detectors; Fixed Point Representation; Hardware; Linear Receivers; Low Precision Detection; Massive MIMO; Matrix decomposition; MIMO; Multipath Fading; OFDM; Receivers; Signal processing algorithms
• ISSN: 2076-1465
• DOI: 10.1109/EUSIPCO.2015.7362517

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 bit resolution. The numerical results demonstrate improved performance when using QRD and pivoted LDLT decomposition schemes at reduced precision.