DocumentCode :
2040095
Title :
Speed and accuracy comparison of techniques to solve a binary quadratic programming problem with applications to synchronous CDMA
Author :
Hasegawa, F. ; Luo, J. ; Pattipati, K. ; Willett, P.
Author_Institution :
Dept. of Electr. & Comput. Eng., Connecticut Univ., Storrs, CT, USA
Volume :
4
fYear :
2001
fDate :
2001
Firstpage :
2775
Abstract :
We (2001) previously showed that for solutions of the binary quadratic programming problem there exists an "efficient frontier" in the performance/speed domain among the algorithms which characterizes the relative performance of each algorithm. Here, in addition to the algorithms implemented previously, the Boltzmann machine, genetic algorithm and space alternating generalized EM (SAGE) receiver are implemented and results are given for much larger scale problems. Simulation results show that these and several other of the proposed methods can significantly outperform the decision feedback detector or its group counterpart
Keywords :
Boltzmann machines; code division multiple access; genetic algorithms; integer programming; quadratic programming; telecommunication computing; Boltzmann machine; SAGE receiver; binary quadratic programming; code-division multiple access; genetic algorithm; integer programming; space alternating generalized receiver; synchronous CDMA; Code division multiplexing; Covariance matrix; Detectors; Feedback; Linear programming; Matched filters; Maximum likelihood detection; Multiaccess communication; Quadratic programming; Symmetric matrices;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics, 2001 IEEE International Conference on
Conference_Location :
Tucson, AZ
ISSN :
1062-922X
Print_ISBN :
0-7803-7087-2
Type :
conf
DOI :
10.1109/ICSMC.2001.972987
Filename :
972987
Link To Document :
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