Resource Optimization using Improved Genetic Algorithm for Device-to-Device Communication Under Cellular Network

Device-to-device communication is one of the leading approaches in an advanced communication system. The approach of device-to-device communication increases the utilization of frequency in a single cell. The uses of device-to-device communication decrease latency and increase cell coverage in cellular networks. The use of the same frequency of cellular and device-to-device users creates interference and declines the quality of service and throughput of networks. The optimization of resource allocation reduces the interference in cellular users and device to device users in the same cell. This paper proposed an improved genetic algorithm for resource allocation in device-to-device communication. The proposed algorithm reduces the interference in the mode of D2D communication. The reduced interference increases the spectral efficiency and coverage of cellular networks. The proposed algorithm has been simulated in MATLAB environments and tested with standard parameters. The obtained results suggest that the improved genetic algorithm enhances the communication system’s spectral efficiency instead of existing algorithms.