The Optimal Power Allocation Algorithm in MIMOOFDM Wireless Communication System

Energy consumption is one of the major issues in the MIMO-OFDM communication system since it reduces its lifetime it. Therefore, it is required to minimize the total amount of allocated power when allocating power to subcarriers. Hence an optimal approach to subcarrier power allocation is required. This research illustrates the optimal power allocation algorithm in the MIMO-OFDM wireless communication system to resolve the issue of energy efficiency. This research selects the maximum power with the gravitational search algorithm (GSA) since the proposed algorithm depends on the law of gravity and motion. In GSA, four specifications are involved for each mass: inertial, position, active and passive mass. The position for the mass is computed as the solution for the problem, and the inertial and gravitational masses are calculated using the fitness function. The performance is measured with masses, and the agent is considered an object. The agent with high mass produces a high performance that can be achieved by moving the agent towards the best position. In the search space, the agent’s low motion is obtained with the highest inertia mass, which provides a more precise search. The higher attraction of agents can be achieved by a bigger mass of gravity which allows faster convergence. It is evident that the proposed approach’s enhanced performance to allocate power efficiently to all the MIMO-OFDM wireless communication system sub-carriers. This research has practical implications in the MIMO-OFDM wireless communication system to allocate power efficiently to all the sub-carriers employing improved optimization approaches in which the system’s energy efficiency is required to be minimized with less power consumption.