<p>Pilot tone optimization works as an essential step of channel state information direction in MIMO-OFDM systems, which are considered to be one of the hubs of present day remote communication applications. Current approaches for pilot design include the traditional grid-based methods and heuristic techniques which deplete more system resources, may converge slowly, and are not very resilient to changes in channel coherence time. These limitations cause pilot placement and power distribution ineffectiveness therefore increasing the amount of error and generally lowering the system efficiency. To overcome these obstacles, the present paper suggests the use of a BAT-ACO algorithm for allocating pilot tones in MIMO-OFDM systems. Globally, the BAT algorithm adapts the echolocation feature of bats for the search process and ACO optimizes the solutions based on the pheromone deposited afterwards. This combined BAT-ACO approach is a good mix of exploration and exploitation that can be used as a strong solution to the pilot placement and power allocation problem. The first step of the methodology focuses on identifying which of the OFDM subcarriers Pilot tone should occupy using the BAT algorithm. ACO then refines these positions and adapts pilot power to optimise channel estimation even further. The efficiency of the proposed method is investigated and analysed based on different channel environment, like multipath fading and interference. The use of the hybrid BAT-ACO approach tends to minimize BER and raise the spectral efficiency of the entire system. It also shows that the method converges faster and is more suitable for changing conditions than the other optimization methods. This new approach presents a rational and viable means for developing next-Generation wireless communication systems.</p>