Spectrum Sensing: Simulate spectrum sensing mechanisms to detect available frequencies and spectrum occupancy.
Spectrum Allocation: Model spectrum allocation strategies, including dynamic spectrum access and sharing among multiple users.
Network Modeling
Network Topology: Define and simulate various network topologies, including cellular, ad hoc, and mesh networks.
Node Behavior: Model the behavior of different network nodes, including primary users (PU) and secondary users (SU), with varying capabilities and roles.
Communication Protocols
Protocol Implementation: Simulate cognitive radio communication protocols, including routing, handoff, and spectrum management protocols.
Interference Management: Implement and model interference avoidance and mitigation techniques.
Dynamic Adaptation
Adaptive Techniques: Simulate adaptive techniques for dynamic spectrum access, power control, and modulation schemes based on network conditions.
Learning Algorithms: Include machine learning and decision-making algorithms for cognitive functions like spectrum prediction and policy-making.
Performance Metrics
Quality of Service (QoS): Evaluate performance metrics such as throughput, latency, packet loss, and error rates.
Network Efficiency: Measure network efficiency in terms of spectrum utilization, resource allocation, and energy consumption.
Simulation Control
Scenario Configuration: Allow users to define and configure different simulation scenarios, including traffic patterns, network load, and environmental factors.
Real-Time Control: Provide real-time control and monitoring capabilities to adjust simulation parameters during runtime.
Visualization and Analysis
Graphical Visualization: Offer graphical tools for visualizing network topology, spectrum usage, and node interactions.
Data Analysis: Provide tools for analyzing simulation results, including statistical analysis and graphical representations of performance metrics.
Reporting and Documentation
Report Generation: Generate detailed reports on simulation results, including performance metrics and network behavior.
Documentation: Provide documentation and help resources for users to understand and utilize the simulator effectively.
Integration and Compatibility
Third-Party Integration: Support integration with other tools and platforms, such as network analyzers, databases, and visualization tools.
Standard Protocols: Adhere to standard protocols and formats for data exchange and interoperability.
Non-Functional Requirements
Performance
Simulation Speed: Ensure efficient simulation execution with minimal latency and the capability to handle large-scale network models.
Scalability: Support scaling to simulate large networks with numerous nodes and complex scenarios.
Usability
User Interface: Design an intuitive and user-friendly interface for configuring simulations, visualizing results, and managing scenarios.
Ease of Use: Ensure ease of use for researchers and developers with varying levels of expertise in cognitive radio networks.
Reliability
System Stability: Maintain high system stability with minimal crashes or errors during simulations.
Fault Tolerance: Implement mechanisms to handle errors and recover gracefully from failures.
Security
Data Protection: Secure sensitive simulation data and configurations from unauthorized access.
Access Control: Implement role-based access control to restrict access to simulation features and data based on user roles.
Maintainability
Code Quality: Maintain a well-documented, modular, and clean codebase to facilitate updates, debugging, and enhancements.
Update Management: Provide a structured process for deploying updates and patches to improve functionality and security.
Compatibility
Operating Systems: Ensure compatibility with various operating systems (e.g., Windows, Linux, macOS) used by the target audience.
Hardware Requirements: Optimize performance to work efficiently on a range of hardware configurations.
Compliance
Standards Compliance: Adhere to relevant standards and best practices for cognitive radio networks and simulation tools.
Regulatory Compliance: Ensure compliance with regulatory requirements related to spectrum usage and network simulation.
Backup and Recovery
Data Backup: Implement regular backups of simulation data, configurations, and settings.
Disaster Recovery: Develop a disaster recovery plan to restore system functionality and data in case of major failures or data loss.
