Scheduling Algorithm for 3GPP LTE Uplink Virtual MIMO Implementation

This source code implements a scheduling algorithm for 3GPP LTE uplink virtual MIMO systems. Virtual MIMO technology enhances signal transmission performance by leveraging multiple antennas from user equipment (UE). In LTE networks, the scheduling algorithm plays a critical role in determining when UEs transmit data and which antennas they utilize for transmission. The algorithm implementation incorporates key functions for real-time network monitoring and channel condition assessment. The code structure includes modules for: - Channel quality indicator (CQI) processing and analysis - UE grouping and pairing logic for virtual MIMO operations - Resource block allocation based on proportional fairness metrics - Load balancing mechanisms that consider both network congestion and UE capabilities The scheduling algorithm dynamically adapts to network load conditions and UE channel states through mathematical optimization techniques, including greedy algorithms and heuristic approaches for real-time decision making. Key parameters such as signal-to-interference-plus-noise ratio (SINR), bandwidth requirements, and quality of service (QoS) constraints are evaluated to determine optimal scheduling strategies. This implementation enhances network capacity and efficiency by intelligently managing spatial resources while maintaining backward compatibility with standard LTE protocols.