A novel detection scheme with Quantum Genetic Algorithm in MIMO-OFDM systems

Multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM) is considered as candidates for future 3G/B3G broadband wireless services. In this paper a novel signal detection scheme based on Quantum Genetic Algorithm (QGA) is proposed for MIMO-OFDM systems. 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. An analysis is given to the theoretical basis and practical performance of the proposed scheme. The simulation results show that the proposed detector outperforms the VBLAST (Vertical Bell Layered Space Time) in MIMO-OFDM systems. At bit error rate 1e-3, the proposed scheme can obtain a 2dB gain to VBLAST algorithms based on MIMO-OFDM systems.