Title :
Generating fading-resistant constellations using genetic algorithm
Author :
De Aquino, Faray ; Marcos De Assis, F.
Author_Institution :
Dept. of Electr. Eng., Fed. Univ. of Paraiba, Campina Grande, Brazil
Abstract :
In this paper Genetic Algorithms (GAs) are used to search sub-optimal fading-resistant constellations. The results show that the use of genetic algorithms is profitable in two aspects. The first is less time expensive and, second, the constellations generated reveal better performance when compared in terms of a figure of merit defined for Rayleigh channels
Keywords :
Rayleigh channels; cellular radio; diversity reception; fading; genetic algorithms; radio networks; Rayleigh channels; diversity schemes; fading-resistant constellations generation; figure of merit; genetic algorithm; suboptimal constellations; AWGN; Base stations; Constellation diagram; Correlators; Genetic algorithms; Postal services; Random variables; Rayleigh channels; Receiving antennas; Transmitting antennas;
Conference_Titel :
Microwave and Optoelectronics Conference, 1997. Linking to the Next Century. Proceedings., 1997 SBMO/IEEE MTT-S International
Conference_Location :
Natal
Print_ISBN :
0-7803-4165-1
DOI :
10.1109/SBMOMO.1997.648874
