LTE System-Level Simulation Open-Source Code

The LTE system-level simulation open-source code developed by the University of Vienna is a comprehensive simulation framework implemented on the MATLAB platform. This tool is primarily designed for performance evaluation of Long-Term Evolution (LTE) wireless communication networks, particularly suitable for academic and industrial researchers to validate link-level or system-level wireless resource management algorithms. The framework employs modular architecture with configurable parameters, allowing users to implement and test various scheduling algorithms and interference coordination schemes through MATLAB scripts and function modules.

This simulation code covers key LTE network components including multi-cell deployment, user scheduling, channel modeling, and interference coordination functions. Through flexible configuration parameters, users can simulate network performance under different scenarios such as dense urban areas, and macro-micro cellular hybrid networks. The system's modular design enables straightforward extension of new algorithms or modification of existing functionalities. Key implementation features include object-oriented programming for network elements, matrix-based signal processing for MIMO operations, and event-driven simulation loops for dynamic resource allocation.

Notably, this open-source project maintains academic rigor by providing detailed documentation and typical use cases to help users get started quickly. Being MATLAB-based, the code offers strong readability, making it suitable for communication researchers to conduct secondary development or teaching demonstrations. The implementation covers fundamental LTE physical layer technologies including OFDMA subcarrier allocation, MIMO spatial multiplexing algorithms, and hybrid automatic repeat request (HARQ) mechanisms, serving as a practical reference tool for understanding LTE system principles. The code structure separates physical layer processing, medium access control logic, and network configuration into distinct modules for maintainable and scalable simulation experiments.