Adaptive Power Control via Marine Predators Algorithm in Wireless Environments

In modern wireless communication systems, the efficient allocation of power among multiple users is a critical challenge, particularly in interference-limited environments. This research introduces an adaptive power control scheme using the Marine Predators Algorithm (MPA), a metaheuristic inspired by the foraging strategies of marine predators. The problem is modeled as a constrained non-linear optimization task that maximizes the system's sum-rate while adhering to power budget and interference constraints. We incorporate practical considerations, including path loss, shadow fading, small-scale fading, and external interference, to reflect real-world conditions. The MPA's exploration and exploitation capabilities are tailored to handle the high-dimensional solution space, ensuring rapid convergence to high-quality power allocations. Simulation results from ten distinct experimental configurations demonstrate the robustness of MPA, showcasing its ability to achieve significant through-put gains, efficiently utilize available power, and adapt to varying interference levels.