Pachycondyla APIcalis ants (API) algorithm formulti-user detection of SDMA-OFDM system

Space Division Multiple Access (SDMA) based technique as a subclass of Multiple Input Multiple Output (MIMO) systems achieves high spectral efficiency through bandwidth reuse by multiple users. On the other hand, Orthogonal Frequency Division Multiplexing (OFDM) mitigates the impairments of the propagation channel. The combination of these tools has emerged as a most competitive technology for future wireless communication system. Different Multiuser Detection (MUD) schemes have been proposed at the BS receiver to identify users correctly by mitigating the multiuser interference. However, most of the classical MUDs fail to separate the users signals in the over load scenario, where the number of users exceed the number of receiving antennas. In this work, MUD tool based on the Pachycondyla APIcalis ants (API) algorithm is proposed in the multiuser MIMO-OFDM system and its performance is compared to existing MUDs such as MMSE(Minimum mean square) and ML algorithm.The simulation results show that the APIMUD algorithm can achieve higher performance. © 2017, North Atlantic University Union. All rights reserved.