To fulfill the demand of high-speed communication with high quality of service, the future underwater wireless communication system needs the implementation of MIMO-OFDM system in an underwater environment. But the capacity of MIMO-OFDM system falls due to interference from multiple users called multiuser access interference (MAI) at its receiver. Therefore, this study aims to focus on the suppression of MAI through multiuser detection (MUD) to enhance system capacity.
MUD in this research is accomplished in cylindrical shaped space in an UWA network using global optimum solution obtained from jet propulsion behavior and swarm behavior of marine invertebrate animal called tunicates. In other words, MUD in this research is accomplished in a cylindrical shaped space using binary version of tunicate swarm algorithm.
Bit error rate analysis using MATLAB simulation reveals that the proposed binary version of tunicate swarm optimizer (TSO) outperforms over conventional detectors and existing bioinspired algorithms such as Spotted Hyena Optimizer and Particle Swarm Optimizer in the same domain in an underwater acoustic network.
The work is carried out in a cylindrical shaped space for the swarm behavior of tunicate. In this dimension, the fitness function is evaluated in which the proposed TSO gives better performance for interference to noise ratio at 10 and 20 dB.
TSO generates better optimal solution in comparison to other competitive algorithm in cylindrical search space and is capable of solving real case optimization problem having cylindrical search spaces.
Proper MUD at the receiver in a MIMO-OFDM-UWA communication system will fulfill the demand for multimedia services and high-speed reliable communication in underwater environment.
The originality in this work is MUD is accomplished using a binary version of metaheuristic paradigm called TSO in an underwater acoustic environment. The modeling and setup of an underwater network is done using World Ocean Simulation System.
