Using simulated annealing to design good codes
IEEE Transactions on Information Theory
Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
Principles of mobile communication (2nd ed.)
Principles of mobile communication (2nd ed.)
An Introduction to Genetic Algorithms
An Introduction to Genetic Algorithms
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Local Search in Combinatorial Optimization
Local Search in Combinatorial Optimization
W-CDMA and cdma2000 for 3G Mobile Networks
W-CDMA and cdma2000 for 3G Mobile Networks
Spreading sequence design and theoretical limits for quasisynchronous CDMA systems
EURASIP Journal on Wireless Communications and Networking - Special issue on innovative signal transmission and detection techniques for next generation cellular CDMA systems
Representations for Genetic and Evolutionary Algorithms
Representations for Genetic and Evolutionary Algorithms
Learning and optimization using the clonal selection principle
IEEE Transactions on Evolutionary Computation
A genetic algorithm for shortest path routing problem and the sizing of populations
IEEE Transactions on Evolutionary Computation
A class of pseudonoise sequences over GF(P) with low correlation zone
IEEE Transactions on Information Theory
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This paper deals with a quasi-synchronous code division multiple access (QS-CDMA) system with a multiple processing gain (MPG) variable data rate scheme in the uplink direction and subject to multipath fading channels. An analytic expression is obtained for the signal-to-noise plus interference ratio (SNIR) at the Rake receiver output (finger). In order to maximize the SNIR, three combinatorial optimization methods applied to sequences selection are compared. Then, sequence selection methodology for this class of system is evaluated, comparing the local search optimization results with unitary Hamming distance (1-opt LS), evolutionary programming with cloning (EP-C), and simulated annealing (SA) ones. The contribution of this work consists of considering the self-interference (SI) effect, besides the multiple access interference (MAI), in the description of the proposed objective function for sequence selection and a compared analysis of three heuristic algorithms maximizing that SNIR. Also, numeric results have demonstrated the effectiveness of the proposed method for the QS-CDMA sequences selection. Copyright © 2010 John Wiley & Sons, Ltd.