Architecture Design and Implementation of the Metric First List Sphere Detector Algorithm

Author

Myllylä, Markus ; Cavallaro, Joseph R. ; Juntti, Markku

Author_Institution

Centre for Wireless Commun., Univ. of Oulu, Oulu, Finland

Volume

19

Issue

5

fYear

2011

fDate

5/1/2011 12:00:00 AM

Firstpage

895

Lastpage

899

Abstract

Soft-output detection of a multiple-input-multiple-output (MIMO) signal pose a significant challenge in future wireless systems. In this paper, we introduce a soft-output modified metric first (MMF)-LSD algorithm for MIMO detection. We design a scalable architecture and address a method to decrease memory requirements. We provide implementation results for a spatial multiplexing (SM) system with four transmitted streams and with 16- and 64-quadrature amplitude modulation (QAM) on a 0.18-μ m CMOS application specific integrated circuit (ASIC) technology. The MFF-LSD implementation is more efficient than the depth first (DF)-LSD in the crucial low signal-to-noise rate (SNR) region and the detection rate of the 64-QAM implementation is 39.2 Mbps@26 db with 48.2 kGEs complexity.

Keywords

CMOS integrated circuits; MIMO communication; application specific integrated circuits; quadrature amplitude modulation; space division multiplexing; CMOS application specific integrated circuit technology; MIMO detection; MIMO signal; metric first list sphere detector algorithm; quadrature amplitude modulation; soft-output detection; soft-output modified metric first-LSD algorithm; spatial multiplexing system; Algorithm design and analysis; Amplitude modulation; Application specific integrated circuits; CMOS memory circuits; CMOS technology; Detectors; MIMO; Quadrature amplitude modulation; Samarium; Signal design; Application-specific integrated circuit (ASIC); architecture; implementation; list sphere detector (LSD); multiple-input multiple-output (MIMO); soft-output detector;

fLanguage

English

Journal_Title

Very Large Scale Integration (VLSI) Systems, IEEE Transactions on

Publisher

ieee

ISSN

1063-8210

Type

jour

DOI

10.1109/TVLSI.2010.2041800

Filename

5418828