4×4/8×8/12×12 reconfigurable MIMO detector on multi-core DSP based on Eigen decomposition of dataflow graph

Author

Sheng-Hung Wu ; Chien-Yu Kao ; Jen-Yuan Hsu ; Pang-An Ting ; Gwo-Giun Lee ; Yuan-Hao Huang

Author_Institution

Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan

fYear

2013

Firstpage

2639

Lastpage

2643

Abstract

This paper presents a 4×4/8×8/12×12 and QPSK/16-QAM/64-QAM reconfigurable MIMO detector on a multi-core DSP platform for different MIMO detection algorithms, including multiple-candidate-selection QRSIC (MCS-QRSIC), distributed K-best, and sorting-reduced K-best detectors. This study uses an Eigen-value decomposition method to investigate the intrinsic degree of parallelism of MIMO detectors and allocate the processing elements to DSP cores. MCS-QRSIC outperforms other detectors in 4 × 4 detection, and distributed K-best has the best performance in 8×8 and 12×12 MIMO systems. The normalized throughput achieves 188/153/142 Mbps for 64-QAM 4×4/8×8/12×12 MIMO detections at a 1GHz clock rate with 448 cores.

Keywords

MIMO communication; data flow graphs; digital signal processing chips; eigenvalues and eigenfunctions; quadrature amplitude modulation; quadrature phase shift keying; signal detection; sorting; 16-QAM; 4×4/8×8/12×12 reconfigurable MIMO detector algorithm; 64-QAM reconfigurable MIMO detector; MCS-QRSIC; QPSK; bit rate 142 Mbit/s; bit rate 153 Mbit/s; bit rate 188 Mbit/s; data flow graph; distributed K-best detectors; eigendecomposition method; frequency 1 GHz; multicore DSP platform; multiple-candidate-selection QRSIC; sorting-reduced K-best detectors; Detection algorithms; Detectors; Digital signal processing; Laplace equations; MIMO; Parallel processing; Sorting;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on

Conference_Location

Vancouver, BC

ISSN

1520-6149

Type

conf

DOI

10.1109/ICASSP.2013.6638134

Filename

6638134