Optimization of Resource and Energy for D2D enable Communication System using Constraint's- based Function

The process of resource optimization enhances the capacity of device-to-device communication. The utility and diversity of device-to-device communication influence next-generation wireless communication. The sharing of resources in wireless combination treats as assets of communication. The limitation of assets is spectrum allocation and energy efficiency. The allocation process faces a problem of interference in different variants such as cochannel interference, intercell interference and some others. This paper proposed the constraints-based function for the optimization of energy and resource sharing. The proposed methods focus on the total users of a single-cell network and utilize all resources in the best selection mode. The pairing factors of D2D users and CU users satisfy the defined constraints and got optimal resources of energy and spectrum. The proposed algorithm simulated in MATLAB environments and set different parameters for the validation. The proposed optimization algorithm compares with two algorithms, particle swarm optimization and ant colony optimization.