CDMA: principles of spread spectrum communication
CDMA: principles of spread spectrum communication
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
An overview of evolutionary algorithms in multiobjective optimization
Evolutionary Computation
An evolutionary approach to designing complex spreading codes for DS-CDMA
IEEE Transactions on Wireless Communications
Multiobjective evolutionary algorithms: a comparative case studyand the strength Pareto approach
IEEE Transactions on Evolutionary Computation
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
Learning and optimization using the clonal selection principle
IEEE Transactions on Evolutionary Computation
Performance assessment of multiobjective optimizers: an analysis and review
IEEE Transactions on Evolutionary Computation
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This paper proposes a new algorithm based on the clonal selection principle for the design of spreading codes for DS-CDMA. The algorithm follows a multi-objective approach, generating complex spreading codes with good autocorrelation as well as good cross-correlation properties. It also enables spreading code design with no restrictions on the number of users or code length. The algorithm maintains a repertoire of codes that are subject to cloning and undergo a process of affinity maturation to obtain better codes. Results indicate that the produces code sets that lie very close to the theoretical Pareto front.