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

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...

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Bibliographic Details
Published in:IEEE transactions on very large scale integration (VLSI) systems 2011-05, Vol.19 (5), p.895-899
Main Authors: Myllylä, M, Cavallaro, J R, Juntti, M
Format: Article
Language:English
Subjects:
Algorithm design and analysis
Algorithms
Amplitude modulation
Application specific integrated circuits
Application-specific integrated circuit (ASIC)
Applied sciences
Architecture
CMOS
CMOS memory circuits
CMOS technology
Design engineering
Design. Technologies. Operation analysis. Testing
Detectors
Electronics
Exact sciences and technology
General equipment and techniques
implementation
Instruments, apparatus, components and techniques common to several branches of physics and astronomy
Integrated circuits
list sphere detector (LSD)
MIMO
multiple-input multiple-output (MIMO)
Multiplexing
Noise levels
Physics
Quadrature amplitude modulation
Samarium
Semiconductor electronics. Microelectronics. Optoelectronics. Solid state devices
Sensors (chemical, optical, electrical, movement, gas, etc.)
remote sensing
Signal design
soft-output detector
Very large scale integration
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Summary: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.
ISSN:1063-8210
1557-9999
DOI:10.1109/TVLSI.2010.2041800