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5G Network Projects examples using omnet++

Follow the provided several examples of 5G network projects that you can explore using OMNeT++:

  1. 5G NR (New Radio) Performance Evaluation

Description: Replication the performance of 5G NR technology, concentrating on key perspectives like ultra-reliable low-latency communication (URLLC), optimized mobile broadband (eMBB), and enormous machine-type communication (mMTC).

Key Features:

  • Execution of 5G NR protocols and frame structures.
  • Replication of various service types (URLLC, eMBB, mMTC) in changing network conditions.
  • Evaluate of metrics like throughput, latency, reliability, and spectral efficiency.

Tools & Frameworks:

  • Simu5G: A particular OMNeT++ extension for simulating 5G networks containing NR-specific mechanisms.
  1. 5G Network Slicing

Description: Simulating network slicing in 5G networks, where numerous virtual networks are generated on a shared physical infrastructure to cater to various use cases with unique demands.

Key Features:

  • Execution of network slicing components as well as slice creation, management, and resource allocation.
  • Simulation of various network slices (like one for IoT, another for high-speed broadband) with changing QoS requirements.
  • Performance analysis of network slicing in terms of resource efficiency, isolation, and service quality.

Tools & Frameworks:

  • Simu5G with Custom Extensions: Extend Simu5G to model network slicing situations and analyze their performance.
  1. Massive MIMO in 5G Networks

Description: Replicating massive MIMO (Multiple Input Multiple Output) technology in 5G networks, which uses a large number of antennas to enhance spectral efficiency and network ability.

Key Features:

  • Execution of massive MIMO methods encompassing beamforming and spatial multiplexing.
  • Imitation of urban and rural deployment scenarios to evaluate the performance of massive MIMO.
  • Evaluation of metrics like data rate, coverage, and interruptions management.

Tools & Frameworks:

  • Simu5G or Custom Modules: Use Simu5G and expand it with massive MIMO models and simulations.
  1. Millimeter-Wave Communication in 5G

Description: Accomplish high data rates and low latency by exploring the utilization of millimeter-wave (mmWave) frequencies in 5G networks.

Key Features:

  • Execution of mmWave channel models containing path loss, blockage, and beamforming.
  • Replication of link-level and system-level performance in dense urban environments.
  • Assess of challenges like signal blockage, handovers, and interruption in mmWave bands.

Tools & Frameworks:

  • Simu5G with mmWave Extensions: Extend Simu5G to contain mmWave communication models.
  1. Edge Computing in 5G Networks

Description: Examine the incorporation of edge computing with 5G networks in which estimation and storage resources are positioned closer to the user to minimize latency and improve performance.

Key Features:

  • Execution of edge computing frameworks like edge nodes and task unloading features.
  • Replication of real-time applications like video streaming or augmented reality with edge support.
  • Evaluation of latency reduction, bandwidth usage, and overall network performance with edge computing.

Tools & Frameworks:

  • Simu5G with Edge Computing Modules: Incorporate or setting up edge computing extensions inside the Simu5G framework.
  1. 5G-Enabled IoT Networks

Description: Replicating the use of 5G networks to support large-scale IoT deployments, concentrating on massive machine-type communication (mMTC) and low-latency applications.

Key Features:

  • Execution of IoT-specific communication protocols and devices into the 5G framework.
  • Imitation of scenarios with a big number of linked devices transmitting small data packets.
  • Performance analysis in terms of scalability, energy efficiency, and dormancy.

Tools & Frameworks:

  • Simu5G: Use Simu5G to mimic 5G-enabled IoT networks and estimate their performance.
  1. 5G Network Security

Description: Guard the 5G networks from potential challenges like eavesdropping, DDoS attacks, and data breaches by simulating security protocols and features into the network

Key Features:

  • Execution of security protocols such as encryption, validation, and interference detection.
  • Simulation of attack scenarios and protection techniques inside a 5G network environment.
  • Performance evaluation in terms of security overhead, latency, and impact on QoS.

Tools & Frameworks:

  • Simu5G with Security Extensions: Incorporate or create security modules for 5G network simulations.
  1. Ultra-Reliable Low-Latency Communication (URLLC)

Description: Exploring the potential of 5G URLLC which is generated to help applications that needs extremely low latency and high consistency, like autonomous vehicles or remote surgery.

Key Features:

  • Execution of URLLC-specific protocols and features.
  • Simulation of use cases like sovereign driving or industrial automation.
  • Analysis of latency, reliability, and QoS in various network conditions.

Tools & Frameworks:

  • Simu5G: Replicate URLLC scenarios and evaluate their performance by using Simu5G.
  1. 5G Network Slicing for Smart Cities

Description: Replicating 5G network slicing custom-made for smart city applications like smart traffic management, public safety, and environmental observing.

Key Features:

  • Creation of dedicated network slices for numerous smart city services, each with particular QoS requirements.
  • Simulation of traffic patterns, data flows, and service desires in a smart city environment.
  • Performance evaluation of network slicing in terms of service segregation, resource productivity, and scalability.

Tools & Frameworks:

  • Simu5G with Custom Modules: Set up modules to simulate smart city situations with 5G network slicing.
  1. 5G Backhaul and Fronthaul Networks

Description: Simulating the backhaul and fronthaul networks in 5G, that links the core network to radio access networks and help high-potential data transmission.

Key Features:

  • Deployment of fronthaul and backhaul technologies containing fiber optics, microwave links, and millimeter-wave connections.
  • Replication of network performance in various traffic loads and implement scenarios.
  • Assessment of dormancy, throughput, and consistency in fronthaul and backhaul networks.

Tools & Frameworks:

  • Simu5G with Fronthaul/Backhaul Extensions: Extend Simu5G to model and simulate 5G fronthaul and backhaul networks.

Through these samples, we presented the some example projects regarding the 5G networks including the project’s vital mechanisms and their frameworks using OMNeT++. We will also provide another set of examples in another manual, if needed.

Connect with us at omnet-manual.com, where we execute 5G Network Projects using OMNeT++. Our skilled developers ensure your projects are completed on schedule. For network analysis, share your parameters with us, and we will help you achieve optimal results. Additionally, we can provide you with excellent topic ideas.