1. The invention utilizes a simulation-based approach for rural 5G connectivity, modelling a three-tier architecture using Cisco Packet Tracer to represent core, edge, and access layers.

2. The design leverages VLAN-based network slicing, enabling each rural service domain to operate as a separate logical entity for efficient traffic management.

3. The edge computing layer provides localized service processing, significantly reducing latency and improving the efficiency of service delivery in rural areas.

4. A core layer in the system facilitates connectivity to external networks, ensuring seamless integration with regional and national backhaul infrastructures.

5. The invention incorporates Access Control Lists (ACLs) to enforce strict isolation between service domains, ensuring secure communication within the rural network.

6. The architecture supports scalability by allowing the addition of new VLANs and rural clusters without requiring substantial reconfiguration, making it adaptable to future expansions.

7. By utilizing Cisco Packet Tracer, the system provides a cost-effective, accessible simulation environment for 5G network planning, education, and research.

8. The simulation framework ensures compliance with industry standards, including 3GPP, ETSI MEC, IEEE 802.1Q, and IETF, enabling effective rural broadband planning and deployment. Dated this 27th February 2026

Description:FORM 2
THE PATENTS ACT, 1970
(39 of 1970)
&
THE PATENT RULES, 2003
Complete Specification
(See section10 and rule13)

1. Title of the Invention: SIMULATION-BASED EDGE-CENTRIC 5G NETWORK ARCHITECTURE FOR RURAL CONNECTIVITY USING CISCO PACKET TRACER
2.Applicants: -
SR University Indian Ananthasagar, Hasanparthy (PO), Warangal-506371, Telangana, India.
3.Applicants: -
Name Nationality Address
Dr. Elamaran E Indian Department of ECE, SRM Institute of Science and Technology (SRMIST), Chennai, Tamil Nadu, India
Dr. Sandip Bhattacharya Indian SR University, Ananthasagar, Hasanparthy (PO), Warangal-506371, Telangana, India.
Dr. Saptarshi Gupta Indian Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Delhi
NCR Campus, Modi Nagar, Ghaziabad-201204, Uttar Pradesh, India.
Dr. Dharmbir Prasad Indian Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Delhi-NCR Campus, Modinagar, Ghaziabad-201204, , Uttar Pradesh, India.
3. Preamble to the description:
The following specification particularly describes the invention and the manner in which it is to be performed.

4. DESCRIPTION
FIELD OF THE INVENTION
The present invention relates to Computer Science and Engineering, and more particularly to simulation-based design and evaluation of fifth-generation (5G) communication networks. The invention specifically addresses rural broadband connectivity using edge computing, network slicing, and hierarchical network architectures modeled through Cisco Packet Tracer.
BACKGROUND OF THE INVENTION
Fifth-generation (5G) communication technology enables enhanced Mobile Broadband (eMBB), Ultra-Reliable Low-Latency Communication (URLLC), and Massive Machine-Type Communication (mMTC). Despite these advancements, a significant digital divide persists between urban and rural regions, particularly in developing countries. Rural areas often lack reliable broadband infrastructure due to high deployment costs, low average revenue per user, geographical challenges, and limited backhaul availability.
Conventional rural connectivity solutions rely heavily on fiber-based backhaul and dense base station deployment, which are economically infeasible in sparsely populated regions. Furthermore, existing 5G simulation tools such as NS-3, OMNeT++, and MATLAB Simulink are complex, resource-intensive, and difficult to access for academic institutions and planners in resource-constrained environments. Hence, there exists a need for a cost-effective, scalable, and accessible simulation framework that can logically model key 5G architectural concepts such as network slicing, edge computing, and service differentiation for rural connectivity planning.
SUMMARY OF THE INVENTION
The present invention proposes a simulation-based, edge-centric 5G network architecture for rural connectivity using Cisco Packet Tracer. The system models a three-tier hierarchical architecture comprising Core, Edge, and Access layers to emulate real-world 5G behavior within an IP-based simulation environment.
The invention utilizes VLAN-based segmentation to represent network slicing, inter-VLAN routing for service integration, and a Multi-access Edge Computing (MEC) layer for localized data processing. The proposed architecture supports multiple rural service domains including healthcare, education, agriculture, governance, and financial services. Simulation results demonstrate reduced latency, lower hop count, improved service isolation, and enhanced scalability, making the framework suitable for rural deployment planning, education, and research.
PROBLEM STATEMENT
The invention Simulation-Based Edge-Centric 5G Network Architecture for Rural Connectivity Using Cisco Packet Tracer addresses the digital divide between urban and rural regions by providing a simulation framework for planning 5G networks in rural areas. The main challenge in rural connectivity lies in the high cost of deployment, sparse population density, and geographical barriers, making conventional solutions unfeasible. This invention proposes a solution using edge computing, network slicing, and a hierarchical architecture to efficiently simulate a 5G network for rural areas, specifically using Cisco Packet Tracer. By utilizing a cost-effective, scalable, and easy-to-access simulation tool, the system can model various real-world 5G components such as Multi-access Edge Computing (MEC) and Virtual Local Area Networks (VLANs) for service isolation. The simulation framework effectively demonstrates improved latency, scalability, and service separation, making it ideal for education, research, and rural connectivity planning without requiring complex or expensive infrastructure.
EXISTING SOLUTIONS / PRIOR ART / RELATED APPLICATIONS & PATENTS
1. 5G Rural Connectivity Solutions:
Existing rural connectivity solutions for 5G often rely on a combination of high-cost fiber backhaul and dense base station deployment, both of which are impractical in sparsely populated regions. While traditional 5G technologies focus on urban environments, research has pointed out the importance of developing cost-effective and scalable solutions for rural broadband. The primary challenge is the lack of cost-effective backhaul options and the high initial investment for infrastructure in such regions. This has led to the development of solutions like low-altitude satellite communications and hybrid models combining terrestrial and satellite networks. These approaches, however, still involve high investment and complexity in maintenance.
2. Network Slicing for 5G:
Network slicing, as a key concept in 5G, allows for the creation of multiple logical networks on top of a common physical infrastructure. The application of network slicing in rural areas, however, has been limited due to challenges in network management and cost of infrastructure. Many research projects have explored the concept of network slicing, but most focus on the core aspects of urban environments. For rural areas, researchers have examined methods for simplifying the slicing process using technologies such as Virtual Local Area Networks (VLANs) to emulate service differentiation, as seen in the proposed invention. However, such solutions have yet to be widely adopted in practical rural deployment scenarios.
3. Multi-Access Edge Computing (MEC):
Multi-access Edge Computing (MEC) is a promising technology to support low-latency and high-bandwidth applications, which is particularly relevant for rural areas. MEC enables data processing to happen closer to the end-user, reducing latency and reliance on distant data centers. The application of MEC in rural areas to improve service delivery has been explored in several academic and industry-driven projects. For instance, edge computing nodes have been employed in rural healthcare applications to enable real-time data analysis. However, implementing MEC at scale in rural areas remains a challenge due to the initial cost of setting up edge nodes and ensuring reliable connectivity. The invention proposes a cost-effective way to simulate this architecture using tools like Cisco Packet Tracer, which simplifies the design and evaluation of such systems without significant hardware investment.
4. Cisco Packet Tracer Simulation in Network Design:
Cisco Packet Tracer is widely used for simulating networking environments for educational purposes. It provides an accessible platform for modeling complex networks without requiring physical hardware. Although Packet Tracer has been used to model various network topologies, it has not been widely used to simulate edge-centric 5G networks, especially in rural contexts. The approach of integrating VLAN-based segmentation and MEC functionality into a Packet Tracer environment is relatively novel and provides an educational and practical tool for rural 5G planning. By reducing reliance on more complex simulation environments, such as NS-3 or OMNeT++, this approach makes 5G simulations more accessible for educational institutions and small-scale projects in rural areas.
5. Patents Related to Rural 5G and Edge Computing:
Several patents exist in the domain of edge computing and rural 5G deployment. One such example is a patent that focuses on optimizing 5G network slicing for remote and rural areas by using lightweight edge nodes and dynamic reconfiguration to minimize cost and improve scalability. This patent highlights similar challenges in rural areas, such as high infrastructure costs and the need for localized processing. Another relevant patent involves the integration of edge computing within 5G networks to enhance data processing and reduce reliance on centralized cloud data centers. These patents underscore the significance of edge computing and cost-effective network slicing techniques for 5G connectivity in rural settings.
These solutions, prior art, and patents highlight the ongoing efforts to address rural connectivity challenges using 5G technologies, though there remains significant room for innovation, particularly in terms of simulation and cost-effective deployment.
BRIEF DESCRIPTION OF THE PROPOSED INVENTION
Overall Architecture
The invention adopts a three-tier hierarchical architecture comprising the Core, Edge, and Access layers. The design logically maps real-world 5G components such as UPF and MEC into IP-based simulation constructs supported by Cisco Packet Tracer. This approach allows accurate modeling of service separation, localized processing, and hierarchical routing without requiring complex radio-level simulation.
Network Slicing Using VLANs
Each rural service domain is implemented as an independent VLAN, symbolizing a 5G network slice. Service domains include local governance, healthcare, banking, agriculture, IoT research, training centers, and digital education. Inter-VLAN routing enables controlled communication, while ACLs enforce strict isolation between slices.
Edge Computing Operation
The MEC layer hosts localized application servers that process HTTP, DNS, FTP, and MQTT traffic. By handling data at the edge, the system significantly reduces hop count and end-to-end latency. Simulation analysis confirms that edge-based service delivery outperforms cloud-only processing in rural scenarios.
Data Flow and Logical Validation
Packet Tracer simulation mode is used to trace Packet Data Units (PDUs) and validate routing paths, latency, and service reachability. The system demonstrates reliable communication between distributed rural clusters and seamless integration with remote cloud services when required.
ADVANTAGES OVER PRIOR ART
The invention Simulation-Based Edge-Centric 5G Network Architecture for Rural Connectivity Using Cisco Packet Tracer offers several advantages over prior art by addressing key challenges in rural broadband connectivity and providing a cost-effective, scalable, and accessible simulation tool for network planning.
1. Cost-Effective and Scalable Solution: Traditional 5G network deployment in rural areas often faces high costs, particularly for backhaul infrastructure and dense base station setups. This invention uses a simulation model that reduces reliance on expensive physical infrastructure, enabling affordable 5G planning. Its scalable architecture, based on Cisco Packet Tracer, allows for modular expansion to include additional rural clusters without requiring major reconfigurations.
2. Localized Data Processing and Reduced Latency: By integrating Edge Computing through a Multi-access Edge Computing (MEC) layer, the invention reduces the need for centralized cloud processing. This localized approach minimizes latency and hop counts, significantly improving performance in rural settings where connectivity and backhaul are often limited.
3. Network Slicing for Service Isolation: The use of VLAN-based segmentation for network slicing ensures effective isolation between different service domains such as healthcare, education, and agriculture. This enhances service quality and security, meeting the needs of multiple sectors within rural areas.
4. Educational and Research-Friendly: Unlike existing simulation tools like NS-3 or OMNeT++, which are complex and resource-intensive, this invention leverages Cisco Packet Tracer, making it accessible to academic institutions and planners. This tool is particularly useful for education and research in rural connectivity, as it simplifies 5G network modeling without the need for high-end computing resources.
Overall, the invention provides a practical, efficient, and accessible method for designing and evaluating rural 5G network architectures, bridging the digital divide in underserved regions.
NOVELTY — Core Novelty and Technical Advantages
Here are the five points outlining the core novelty and technical advantages of the invention titled "Simulation-Based Edge-Centric 5G Network Architecture for Rural Connectivity Using Cisco Packet Tracer":
1. Cost-Effective Rural Connectivity Solution:
The proposed architecture offers an affordable and scalable solution for rural connectivity by utilizing simulation-based modeling. It enables rural 5G planning without requiring the costly deployment of physical infrastructure. By leveraging Cisco Packet Tracer, a widely accessible simulation tool, the approach becomes particularly advantageous for academic institutions and planners in resource-constrained environments.
2. Edge Computing for Reduced Latency:
The system introduces a Multi-access Edge Computing (MEC) layer that processes data locally at the edge, significantly reducing end-to-end latency. This feature ensures faster data processing and minimizes dependency on distant cloud servers, making it ideal for rural applications that demand low-latency services like healthcare, governance, and education.
3. Network Slicing via VLAN Segmentation:
The invention uses VLAN-based segmentation to implement network slicing, which effectively isolates different service domains within the rural 5G network. Each service domain, such as healthcare or agriculture, operates on a separate VLAN, ensuring service differentiation and preventing interference between domains. The isolation is further enhanced through Access Control Lists (ACLs) for robust service security.
4. Hierarchical Three-Tier Architecture:
A key technical advantage of the system is its hierarchical three-tier architecture (Core, Edge, and Access layers). This structure mimics real-world 5G components, such as User Plane Functions (UPF) and MEC, using IP-based simulation constructs. The architecture ensures efficient routing, service separation, and scalable deployment, providing a logical yet powerful representation of 5G networks without the need for complex radio simulations.
5. Scalability and Modular Expansion:
The design is inherently scalable, allowing for easy expansion by adding new VLANs and rural clusters without requiring a reconfiguration of existing components. This modularity makes it a future-proof solution, capable of growing alongside the expanding demand for 5G services in rural regions. The system is also aligned with global standards like 3GPP and ETSI MEC, ensuring compatibility with future technological advancements.
COMPARISON
Feature Proposed Invention Conventional Solutions
Cost-Effectiveness Utilizes Cisco Packet Tracer for simulation-based planning, reducing costs by avoiding physical infrastructure deployment. Relies on expensive physical infrastructure and complex simulation tools like NS-3, OMNeT++, or MATLAB Simulink.
Latency Edge computing (MEC) reduces end-to-end latency by processing data locally at the edge. Cloud-based systems have higher latency due to dependency on remote servers for data processing.
Network Slicing Implements VLAN-based segmentation for service isolation, providing dedicated networks for different rural domains (healthcare, education, etc.). Traditional approaches do not support detailed service differentiation or rely on costly network infrastructure.
Architecture Three-tier hierarchical architecture (Core, Edge, Access) that mimics real-world 5G components using an IP-based simulation framework. Complex radio-level simulations and less flexible architectures that may not represent real-world 5G network behavior as accurately.
Scalability Easily scalable by adding new VLANs and rural clusters without reconfiguration of existing components. Scaling typically requires significant reconfiguration and often involves high operational costs.
Access to Simulation Tools Utilizes accessible and educationally friendly Cisco Packet Tracer, making it available for resource-constrained academic and planning institutions. Conventional tools like NS-3 or OMNeT++ are complex, require advanced knowledge, and may not be accessible in resource-constrained environments.
Service Isolation Service isolation is enforced using VLANs and ACLs, providing strong security between different rural service domains. Service isolation is not as easily implemented, requiring more expensive and complex network configurations.
Global Standards Compliance Aligns with 3GPP, ETSI MEC, IEEE 802.1Q, and IETF standards. Many conventional solutions lack explicit compliance with global standards for rural deployments.

ADDITIONAL INFORMATION
The invention Simulation-Based Edge-Centric 5G Network Architecture for Rural Connectivity Using Cisco Packet Tracer proposes a novel approach to bridging the digital divide in rural areas through the simulation of a 5G network architecture. This invention is focused on developing a cost-effective, scalable, and accessible solution for rural broadband connectivity, using a simulation framework that can model key aspects of 5G technology. It integrates cutting-edge elements like edge computing, network slicing, and hierarchical network architectures within an IP-based environment, leveraging Cisco Packet Tracer for model implementation.
The architecture is designed in a three-tier format consisting of Core, Edge, and Access layers. This structure allows for the replication of real-world 5G operations in a simplified and more manageable way. By utilizing VLAN-based segmentation, each rural service domain (such as healthcare, education, or agriculture) is mapped to a distinct network slice, which facilitates efficient service management and reduces the dependency on expensive physical infrastructure.
The proposed edge computing layer, implemented through Multi-access Edge Computing (MEC), processes data locally, reducing latency and hop counts in comparison to traditional cloud-based solutions. This approach is particularly advantageous for rural areas, where internet speeds are often slower, and infrastructure investment is limited. The system’s performance has been validated with promising results, demonstrating improved service delivery, scalability, and cost-effectiveness, all of which can contribute to the development of sustainable rural connectivity solutions.
BRIEF DESCRIPTION OF THE FIGURES
Fig.1: Overall, Three-Tier Rural 5G-Inspired Network Topology
Purpose: To present the complete hierarchical network architecture that simulates a 5G-inspired rural connectivity system.
This figure illustrates the network topology with three distinct layers: Core, Edge, and Access. The Core layer connects to external networks and provides backhaul services, the Edge layer handles local aggregation and service processing using MEC, and the Access layer connects end-users in rural areas. The architecture demonstrates how 5G components like MEC and network slicing work together for rural connectivity.
Key Labels: Core Layer, Edge Layer, Access Layer, User Plane Function (UPF), Multi-Access Edge Computing (MEC), District Aggregation, Network Slicing, Rural Service Domains, Inter-VLAN Routing, End-User Connectivity, Remote Cloud Service, Service Differentiation.
Fig.2: VLAN-Based Village Service Center Network Segmentation
Purpose: To illustrate how the network is segmented using VLANs, representing independent 5G network slices for each rural service domain.
This figure shows how VLANs are used to logically separate various rural services such as governance, healthcare, and education. Each VLAN corresponds to a distinct network slice, ensuring isolation and efficient resource management. The figure also depicts how VLAN-based routing and Access Control Lists (ACLs) are applied to maintain security and performance.
Key Labels: VLANs, Network Slicing, Rural Service Domains, Governance Services, Healthcare Services, Education Services, IoT Services, Inter-VLAN Routing, Access Control Lists (ACLs), Service Isolation, Network Security, Resource Management.
Fig.3: Edge (MEC) Tower and District Aggregation Architecture
Purpose: To present the architecture of the Edge layer and district aggregation for localized data processing.
This figure demonstrates how the MEC (Multi-Access Edge Computing) tower operates at the district level, providing services like HTTP, DNS, FTP, and MQTT. The tower processes data locally, reducing reliance on remote cloud infrastructure and significantly lowering latency. The architecture optimizes the service delivery to rural users by hosting application servers closer to them.
Key Labels: Multi-Access Edge Computing (MEC), District Aggregation, Localized Data Processing, HTTP, DNS, FTP, MQTT, Latency Reduction, Edge Servers, Service Delivery, Rural Connectivity, Data Processing, Reduced Cloud Dependency.
Fig.4: Core Layer and Remote Cloud Service Center Connectivity
Purpose: To show how the Core layer integrates with the remote cloud service center for broader network and data access.
This figure illustrates the Core layer’s role in providing connectivity to external networks, including district distribution routers, WAN links, and cloud data centers. It ensures seamless communication between the local MEC and remote cloud services, enabling a hybrid architecture that supports both local and cloud-based applications.
Key Labels: Core Layer, Remote Cloud Service, Backhaul Infrastructure, WAN Links, District Distribution Routers, Cloud Data Centers, External Network Connectivity, Hybrid Network Architecture, Cloud Integration, Edge to Cloud Communication.
Fig.5: Data Flow and Inter-VLAN Communication Model
Purpose: To depict the data flow across VLANs and show how inter-VLAN communication is managed within the rural network.
This figure illustrates the flow of data packets across the network, from end-user devices to the Core and Edge layers. It highlights the inter-VLAN communication process, ensuring that data can flow between different rural service domains while maintaining security and isolation. The model validates routing paths and simulates the performance of the network under realistic conditions.
Key Labels: Data Flow, Packet Data Units (PDUs), VLAN Communication, Inter-VLAN Routing, Service Domains, Routing Paths, Data Reachability, VLAN Isolation, Packet Tracing, Service Integration, Network Performance Simulation.

, Claims:We Claim:
1. The invention utilizes a simulation-based approach for rural 5G connectivity, modelling a three-tier architecture using Cisco Packet Tracer to represent core, edge, and access layers.
2. The design leverages VLAN-based network slicing, enabling each rural service domain to operate as a separate logical entity for efficient traffic management.
3. The edge computing layer provides localized service processing, significantly reducing latency and improving the efficiency of service delivery in rural areas.
4. A core layer in the system facilitates connectivity to external networks, ensuring seamless integration with regional and national backhaul infrastructures.
5. The invention incorporates Access Control Lists (ACLs) to enforce strict isolation between service domains, ensuring secure communication within the rural network.
6. The architecture supports scalability by allowing the addition of new VLANs and rural clusters without requiring substantial reconfiguration, making it adaptable to future expansions.
7. By utilizing Cisco Packet Tracer, the system provides a cost-effective, accessible simulation environment for 5G network planning, education, and research.
8. The simulation framework ensures compliance with industry standards, including 3GPP, ETSI MEC, IEEE 802.1Q, and IETF, enabling effective rural broadband planning and deployment.

Dated this 27th February 2026