SMART MOBILE BASED NETWORK SIMULATOR APPLICATION USING VR AND 5G TECHNOLOGIES

Project Title

SMART MOBILE BASED NETWORK SIMULATOR APPLICATION USING VR AND 5G TECHNOLOGIES

Project Area of Specialization Computer ScienceProject Summary

Over the past few years, the number of users actively using Information and Communication Technology (ICT) to make their daily life easy and efficient. Currently, this technology facilitates users in health, agriculture, electronics, software, and cellular networks, etc. The technological evolution of ICT opens many new horizons for the users as well as researchers. The expectation from the 5th Generation of mobile technology is to support applications (e.g. remote medical services, massive machine-to-machine communication for industrial automation, virtual and augmented reality, 3D videos, etc.), connect people, things, and data in a smart network communication environment. Today this technology is used by many experts for accessing the performance and efficiency of their networks with the help of different simulation tools. These tools are very complex, and far away from the real-world environment. Moreover, these simulators are very expensive and time-consuming, and insufficient to work on diverse platforms, e.g., Android. To overcome, above mentioned gaps, our proposed project will provide a client/server-based android application by using ML and VR techniques. For the successful implementation of the proposed solution, we used various tools (Python, Unity 3D, PHP, and Android Studio), techniques (web scraper, 3D network animator, python), and technologies (VR, and ML). The proposed solution is decomposed into three basic modules entitled VR Editor Manager, Scenario Builder, AI decision support, and Simulator. The proposed project will train the scenarios by the experts which will then facilitate future decision making. This project will not only facilitate the network experts in their 5G setup decisions but also provide researchers, new areas for research to be explored (e.g. device behavior, expert behavior, etc.).

Project Objectives

The project objectives are

• An empirical literature review of the past studies has been done in this project which facilitates for identification of suitable tools, techniques, and methodologies essential for the project.
• A VR editor will be developed to build the customized 5G based scenarios
• A decision manager will be developed which will be first trained according to the expert's scenarios by using deep neural networking techniques and then provide an assistant for the selection of suitable devices using python libraries for ML and DL techniques.
• The simulation module will be created to verify the performance and efficiency of the user's proposed 5G based networking scenarios.
• More than 1000 data sets will be taken from the virtual world out of the 70% will be used for training and the remaining 30% will be used for testing.
• The effectiveness of the final experimental results will be tested and verified by the VR based mobile application connected with the cloud database.

Project Implementation Method

In this project, a smart 5G networking based scenarios building solution will be proposed. In this proposed project, a VR editor manager module has been developed whose basic purpose is to provide a VR environment to the user where they can create their 5G scenarios easily and efficiently. The proposed AI decision support module acts in two folded way, firstly it trained the expert scenarios using ML techniques and then facilitates the users in their scenario building. In this project, equipment specifications will be acquired from the authenticated websites using our proposed data acquisition algorithm. The algorithm acts as a crawler and saves the desired data into the database so that simulation results will be produced easily. In the end, the proposed simulation module will simulate the user scenario by using the 3D image processing and dynamic programming techniques.

Benefits of the Project

The major benefits provided by our project are

• Empowers students to explore device features, and test their understanding of network scenarios/topologies, and will help them to develop their advanced skills e.g. decision making, innovation, and creativity.
• In the current pandemic situation, the proposed solution will support self-paced learning outside the classroom which will enable visualization and detail modeling for exploration, experimentation, and explanation of 5G network-based topological scenarios.
• AI decision manager will help the users in choosing the optimal features, so the solution is more efficient.
• Application’s performance is not deteriorated by less capacity and low RAM mobile devices.
• The simulation of different scenarios will enable dynamic and efficient network configuration to improve the actual network underlay with minimal resource utilization (cost, equipment, time, and human effort).
• The datasets generated by the proposed software using machine learning techniques will be used for further researchers.

Technical Details of Final Deliverable

In the end, we will deliver the code and the documentation in the form of a final project report containing all the proposed algorithms pseudo and implementation code.

Final Deliverable of the Project Software SystemCore Industry TelecommunicationOther Industries Education , IT Core Technology Artificial Intelligence(AI)Other Technologies Augmented & Virtual RealitySustainable Development Goals Quality Education, Industry, Innovation and InfrastructureRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	80000
VR Glasses	Equipment	2	10000	20000
Smart Mobile	Equipment	2	25000	50000
Documentation	Miscellaneous	1	10000	10000