The proposed algorithm uses the particle swarm optimization algorithm. The applied particle swarm intelligence defines dual constraints function for the resource allocation in shared environments. The optimization process reduces the transmit power of D2D users and cellular users and increases the efficiency of the communication mode. The proposed algorithm describes the way of communication in the dedicated system model of the D2D communication interface. The proposed algorithm reduces the inference links and enhances the quality of service for the communication system. The incorporation of particle swarm optimization algorithm maintains the equilibrium state in both users. The proposed algorithm simulates in MATLAB environments and estimates the standard parameters. The analysis of results indicates that the proposed algorithm is better than the existing algorithms of D2D communication.

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