Title :
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
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;
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
DOI :
10.1109/ICC.2008.681
