An-Najah National University Faculty of Engineering Telecommunication Engineering Department GRADUATION PROJECT 2 Virtual Network Operations Center (VNOC) Supervisor: Prof. Allam Mousa Eng. Ahmad Qashoo Students Name: Ranin Sharawneh Laila Omer Roua Daghameen Table of contents 1.Introduction 4.VNOC Environment in Unity 5.Monthly Report 9.Future Work 7.Tables Comparison 3.The Role of AI in the NOC 6.Alarms 8.Real-Time Report 2.The Role of VR in the NOC Introduction Our VNOC project is an intelligent, AI-powered system designed to simulate a traditional Network Operations Center within a 3D virtual environment, built using Unity and VR technologies. This system leverages artificial intelligence to: Analyze network data in real-time. Automatically detect faults. Generate smart engineering reports. Send immediate email alerts to the responsible teams. Our VNOC integrates the power of AI directly into real-world network operations The Role of VR in the NOC Virtual Reality (VR) is a cutting-edge technology that is rarely used in the telecom sector ,and we aim to change that .By integrating VR into our Virtual Network Operations Center (VNOC), we bring a new level of innovation that transforms how engineers interact with network data. This immersive experience enables: More intuitive and realistic network monitoring Hands-on virtual training for engineers Faster and smarter response to network issues A fully immersive environment that simulates real NOC operations. Greater engagement and learning for telecom professionals Our goal is to introduce VR as a powerful tool in telecom operations, making our VNOC project not only functional — but futuristic. The Role of AI in the NOC Integrating AI into your Virtual Network Operations Center isn't just an upgrade ,it's a fundamental shift that brings powerful advantages: Automated Monitoring & Analysis Intelligent Incident Management Enhanced Decision Support Immersive Data Visualization Operational Efficiency Continuous Improvement VNOC Environment in Unity The process of displaying data on the screens Monthly Report Traffic Handover Alarms Red Yellow orange High Alarm Minor ALARM Medium Alarm AVAILABILITY Real-Time Report Comparison Between Traditional NOC Engineer and AI Aspect Traditional NOC Engineer VNOC AI System Speed Slower due to manual checks Instant response with real-time analysis Awareness Affected by fatigue and multitasking Fully aware, runs continuously Detection Accuracy May miss minor or time-sensitive issues Highly accurate, checks KPIs every 15 mins Comprehensiveness Needs to review multiple reports Correlates data instantly across cells Exceptional Handling Adapts well to rare, real-world cases May misinterpret unusual cases Recommendations Proposes practical, field-tested solutions Provides generic suggestions Flexibility Makes decisions based on experience Limited to predefined logic The difference between traditional and virtual NOC Factor NOC VNOC Costs High (equipment, location, power, maintenance) Lower due to reduced physical infrastructure Location Fixed, requires a physical center Accessible from anywhere Human Resources It requires a number of workers and their presence 24 hours a day. Can be operated remotely with AI support Fault Management Relies on manual monitoring and on-site decision-making Provides fault simulations and proactive solutions using AI Emergency Response Slower due to reliance on field teams Immediate interaction with issues via a virtual environment Monitoring Efficiency Uses 2D screens and traditional analytics Provides deeper insights and dynamic 3D analysis Future Work Supporting 2G, 3G, and 4G Networks Our goal is to expand the VNOC system to comprehensively support 2G, 3G, and 4G networks. This expansion will involve: Incorporating unique KPIs and analysis models for each network generation. Automatically processing all KPI logs for real-time monitoring, alarm generation, and reporting. This scalable design will enable smarter, more comprehensive network operations within the metaverse, adapting to diverse network environments. Future Work: Expanding Our AI Horizon: The Future of AI in VNOC Our VNOC already uses AI for analysis, fault detection, and reporting. We're expanding our AI tools for even smarter, more autonomous network management. Future AI integrations will focus on: Predictive Maintenance: predict equipment failures proactively. Proactive Security Automation: enable automated threat detection and response. Intelligent Capacity Planning: forecast traffic for optimal resource allocation and bottleneck prevention. Enhanced Root Cause Analysis: provide faster, more precise troubleshooting. Self-Optimizing Networks (SON): AI will autonomously optimize network configurations. AI-Powered Virtual Assistants: AI will offer on-demand insights for network professionals. Expanding AI makes our VNOC more proactive, resilient, and intelligent, driving unparalleled efficiency in the metaverse's evolving network. thank you image1.jpeg image2.png image3.png image4.png image5.svg image6.png image7.svg image8.png image9.svg image10.png image11.svg image12.png image13.png image14.png image15.svg image16.png image17.png image18.png image19.png image20.svg image21.jpeg image22.jpeg image30.svg image31.png image32.svg image23.png image24.png image25.png image26.svg image27.png image28.svg image29.png image33.png image34.png image35.jpeg image36.jpeg image37.jpeg image39.jpeg image38.jpeg image40.png image41.png image42.png image43.png image44.png image45.svg image46.png /docProps/thumbnail.jpeg