Bit-Level Deterministic Sequential Monte Carlo Method for MIMO Wireless Systems

Author

Yang, Yuan ; Hu, Jun-feng ; Zhang, Hai-lin

Author_Institution

State Key Lab. of Integrated Services Networks, Xidian Univ., Xi´´an

fYear

2008

Firstpage

3622

Lastpage

3626

Abstract

This paper presents a low-complexity, bit-level deterministic sequential Monte Carlo (DSMC) detection algorithm for MIMO systems that employ large signal constellations. The proposed algorithm employs natural mapping signals and the QR decomposition of augmented composite channel matrix to convert the DSMC algorithm to the bit-level DSMC algorithm. For M-QAM signal constellation, the computational complexity of the proposed algorithm is linear with modulation order, while the existing DSMC algorithms have an exponential increasing complexity with the modulation order. Simulation results show that the bit-level DSMC algorithm can achieve almost the same BER performance as the existing DSMC algorithms with lower complexity.

Keywords

MIMO communication; Monte Carlo methods; computational complexity; matrix decomposition; quadrature amplitude modulation; wireless channels; BER performance; DSMC; M-QAM signal constellation; MIMO wireless systems; augmented composite channel matrix QR decomposition; bit-level deterministic sequential Monte Carlo method; computational complexity; multiple-input multiple-output system; natural mapping signal; Bit error rate; Computational complexity; Computational modeling; Constellation diagram; Detection algorithms; MIMO; Matrix converters; Matrix decomposition; Monte Carlo methods; Signal mapping;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, 2008. ICC '08. IEEE International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-2075-9

Electronic_ISBN

978-1-4244-2075-9

Type

conf

DOI

10.1109/ICC.2008.681

Filename

4533717