PhD in Reinforcement Power Allocation in 5G SDN Network

INTRODUCTION

 SDN is a technology that is made into use to improve network performance and monitoring. There are multiple factors that help in the transmission of data as it functions by combining several optical small cell wireless networks with WiFi, LiFi, 5G, and other technologies.

The major challenge in the current model is the enormous demand for energy consumption by the resources that enable the functioning of the entire model. Hence the proposed model concentrates on the final goal of conserving the overall energy in the resource allocation.

PhD in Reinforcement learning-based power allocation in 5G SDN network

IDEAS

Due to the ever-increasing demand for devices that work on the model of wireless network services, SDN is used to deploy and organize the network devices in a virtual scenario in order to create an efficient network. In this multiple sensor nodes are added which results in over consumption of the energy. Hence, there is a need for technology that can overcome this challenge. Through the proposed model, an effort has been made to solve this issue by deploying a method of reinforcement learning that substitutes the traditional technology.

ISSUES IN THE CURRENT TECHNOLOGY

With millions and billions of devices networked there is an increment in the demand for faster and enhanced ways of wireless networking.

Secondly, over consumption of energy by the deployment of multiple sensor nodes is a challenge that needs to be resolved.

RESEARCH APPROACH

The proposed model is self-solving in nature, unlike the traditional model which better worked in the familiar environment only.

To begin with, the model is set up in a manner that problem statement can be inferred using the parameters provided initially. The Wireless Energy Transfer technique is deployed by grouping the sensor nodes having similar characteristics. Variables like data sensing frequency and residual energy are set.

Transmission links are created using the LEACH protocol. Also, the SDN based architecture offers a central platform that offloads the tasks and clusters the order of the tasks.