The multiuser detection (MUD) problem was addressed as a pattern classification problem. Due to their strength in solving nonlinear separable problems, radial basis functions, aided by soft particle swarm optimization, were proposed to perform MUD for a synchronous direct sequence code division multiple access system. The proposed solution was shown to exhibit performance better than a number of other suboptimum detectors including the genetic algorithm and the classical particle swarm optimization algorithm.
ZUBAIR, MUHAMMAD; CHOUDHRY, MUHAMMAD AAMER SALEEM; and QURESHI, IJAZ MANSOOR
"Multiuser detection using soft particle swarm optimization along with radial basis function,"
Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 22:
6, Article 7.
Available at: https://journals.tubitak.gov.tr/elektrik/vol22/iss6/7