Quantum-Inspired immune clonal algorithm for multiuser detection in DS-CDMA systems

Authors:
Yangyang Li;Licheng Jiao;Shuiping Gou
Affiliations:
Institute of Intelligent Information Processing, Xidian University, Xi'an, China;Institute of Intelligent Information Processing, Xidian University, Xi'an, China;Institute of Intelligent Information Processing, Xidian University, Xi'an, China
Venue:
SEAL'06 Proceedings of the 6th international conference on Simulated Evolution And Learning
Year:
2006

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Abstract

This paper proposes a new immune clonal algorithm, called a quantum-inspired immune clonal algorithm (QICA), which is based on the concept and principles of quantum computing, such as a quantum bit and superposition of states. Like other evolutionary algorithms, QICA is also characterized by the representation of the antibody (individual), the evaluation function, and the population dynamics. However, in QICA, an antibody is proliferated and divided into a subpopulation. Antibodies in a subpopulation are represented by multi-state gene quantum bits. For the novel representation, we put forward the quantum mutation operator which is used at the inner subpopulation to accelerate the convergence. Finally, QICA is applied to a practical case, the multiuser detection in DS-CDMA systems, with a satisfactory result.