Title :
A 3.1 Gb/s 8
8 Sorting Reduced K-Best Detector With Lattice Reduction and QR Decomposition
Author :
Chun-Fu Liao ; Jhong-Yu Wang ; Yuan-Hao Huang
Author_Institution :
Dept. of Electr. Eng., Nat. Tsing-Hua Univ., Hsinchu, Taiwan
Abstract :
This paper presents the VLSI implementation of a lattice-reduction-aided (LRA) detection system. The proposed system includes a QR decomposition, lattice reduction (LR) processor, and sorting-reduced (SR) K-best detector for 8 × 8 multiple-input multiple-output (MIMO) systems. The bit error rate of the proposed MIMO detection system only incurs approximately 3 dB of implementation loss compared with optimal maximum likelihood detection with 64-quadratic-amplitude modulation. The proposed processor can also support different throughput requirements by adjusting the stage number of LR. The SR K-best detector can achieve 3.1 Gb/s throughput with 0.24-ns latency. The throughput of the system reaches 585 Mb/s if one channel preprocessing can support 72 symbol detections. The corresponding energy per bit is 63 pJ/bit, which is the smallest value achieved to date. This paper presents the first VLSI implementation of a complete LRA K-best detector with an 8 × 8 dimension.
Keywords :
MIMO systems; VLSI; maximum likelihood detection; quadrature amplitude modulation; LRA detection system; MIMO detection system; QR decomposition; VLSI implementation; bit error rate; lattice reduction; lattice-reduction-aided detection system; maximum likelihood detection; multiple-input multiple-output systems; quadratic-amplitude modulation; sorting-reduced K-best detector; Complexity theory; Detectors; Joints; MIMO; Matrix decomposition; Sorting; Vectors; K-best detector; lattice reduction (LR); multiple-input multiple-output (MIMO) detection; multiple-input multiple-output (MIMO) detection.;
Journal_Title :
Very Large Scale Integration (VLSI) Systems, IEEE Transactions on
DOI :
10.1109/TVLSI.2013.2297435