A Machine-Learning-Based Labelling Diversity Model for Predictive Analysis: Using 16QAM as a Case Study. - Shaheen Solwa; Mohamed K. Elmezughi; Omran Salih; Ali M. Almaktoof; M. T. E. Kahn (IEEE Access, 2022)

An ordered crossover based approach to designing labeling diversity mappers. - Shaheen Solwa (Trans. Emerg. Telecommun. Technol., 2022)

A performance study of a genetic algorithm based mapper design for uncoded space-time labeling diversity. - Shaheen Solwa (Trans. Emerg. Telecommun. Technol., 2022)

A modified global neighborhood algorithm for designing labeling diversity mappers. - Shaheen Solwa; Dauda Ayanda (Trans. Emerg. Telecommun. Technol., 2022)

A meta-parameter tuning model to improve the genetic algorithms design of labeling diversity mappers. - Shaheen Solwa; Ayodeji James Bamisaye (Int. J. Model. Simul. Sci. Comput., 2022)

BER Analysis of Cross-QAM Uncoded Space-Time Labeling Diversity with Three Transmit Antennas in Nakagami-m Fading Channels. - Dauda Ayanda; Marcello Costa; Bruno S. da Silva; Dércio M. Mathe; Shaheen Solwa (WTS 2023, 2023)

Eigenfilter-based analysis of uncoded space-time labeling diversity with three transmit antennas in correlated Nakagami-m fading channels. - Dauda Ayanda; Shaheen Solwa; Khadeejah A. Abdulsalam (Trans. Emerg. Telecommun. Technol., 2023)

A multi-optimization-based genetic algorithm mapper design for three transmit uncoded space-time diversity systems. - Shaheen Solwa; Ayodeji James Bamisaye; Dauda Ayanda (Int. J. Model. Simul. Sci. Comput., 2023)