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Quantum genetic algorithm based signal detection scheme for MIMO-OFDM system

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2 Author(s)
Fei Li ; Institute of Signal Processing and Transmission, Nanjing University of Posts and Telecommunications, China ; Wei Wang

Quantum Genetic Algorithm (QGA) is based on the concept and principles of quantum computing, such as quantum bit and superposition of states. Instead of binary, numeric, or symbolic representation, QGA uses a Q-bit, defined as the smallest unit of information, for the probabilistic representation and a Q-bit individual as a string of Q-bits. A Q-gate is introduced as a variation operator to drive the individuals toward better solutions. A novel signal detector based on QGA for MIMO-OFDM system is proposed. An analysis is given to the theoretical basis and practical performance of the proposed detector. The simulation results show that the proposed detector has more powerful properties in bit error rate than conventional Genetic Algorithm (GA) based detector and Vertical Bell Layered Space Time (VBLAST) algorithm based detector. The performance of the proposed detector is closer to optimal, compared with the other detectors. The results demonstrated the effectiveness and the applicability of QGA in signal detection for MIMO-OFDM system.

Published in:

Communication Systems, Networks and Applications (ICCSNA), 2010 Second International Conference on  (Volume:1 )

Date of Conference:

June 29 2010-July 1 2010