Optimization of Resource and Energy Utilization in Device-to-Device Communication Under Cellular Network

Abstract

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.

Cognitive Radio Network Technology for IoT-Enabled Devices

“…The vision centers on the incorporation of intelligence into these devices, with the expectation that they will act independently to set up self-configuring networks. Because of their vulnerability to interference, the conventional wireless methods proposed for M2M communication have been largely abandoned [40]. The integration of CRNs is also necessary for the efficient sharing of network resources between M2M and conventional H2H communications.…”