Comparison of performance and implementation complexity of soft-output sphere detectors for MIMO-OFDM systems

Author

Myllylä, Markus

Author_Institution

Renesas Mobile Eur. Ltd., Oulu, Finland

fYear

2011

fDate

6-9 Nov. 2011

Firstpage

909

Lastpage

913

Abstract

A list sphere detector (LSD) is a soft-output enhancement of a sphere detector (SD) that can be used to approximate the optimal MAP detector in the detection of the multiple-input multiple-output (MIMO) signals. The LSDs are based on tree search algorithms and they can be divided into three categories: the breadth-first (BF) search, the depth-first search (DF), and the metric-first (MF) search algorithms. A fair comparison of the feasibility of different search algorithms for MIMO detection requires efficient architecture designs and hardware implementations of the algorithms. In this paper, we compare and analyze the error rate performance, ASIC implementation complexity and detection rate of LSDs based on all three types of search strategies for 4 × 4 MIMO-OFDM systems with 16- and 64-QAM.

Keywords

MIMO communication; OFDM modulation; application specific integrated circuits; maximum likelihood detection; quadrature amplitude modulation; tree searching; 16-QAM; 64-QAM; ASIC implementation; MIMO detection; MIMO-OFDM systems; breadth-first search; depth-first search; error rate performance; implementation complexity; list sphere detector; metric-first search algorithm; multiple-input multiple-output signal; optimal MAP detector; performance comparison; soft output sphere detector; tree search algorithms; Algorithm design and analysis; Approximation algorithms; Complexity theory; Detectors; MIMO; Signal to noise ratio; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers (ASILOMAR), 2011 Conference Record of the Forty Fifth Asilomar Conference on

Conference_Location

Pacific Grove, CA

ISSN

1058-6393

Print_ISBN

978-1-4673-0321-7

Type

conf

DOI

10.1109/ACSSC.2011.6190141

Filename

6190141