Explore MATLAB source code curated for "功率分配" with clean implementations, documentation, and examples.
A MATLAB simulation study on soft frequency reuse techniques, featuring comprehensive analysis of power allocation strategies through implemented algorithms and simulation models.
MATLAB simulation for implementing water-filling algorithm code in power allocation optimization, including algorithm principles, practical implementation approaches, and performance verification techniques.
Power Allocation Algorithms in CDMA Systems: Optimizing Power Control to Enhance Channel Capacity with Technical Implementation Insights
OFDM adaptive algorithms dynamically allocate bits and power according to real-time channel conditions to effectively reduce bit error rates. This comprehensive MATLAB implementation integrates iterative water-filling, CHOW, FISHER, and H-H algorithms alongside an enhanced iterative water-filling variant. Comparative analysis demonstrates that the improved algorithm maintains comparable effectiveness to standard iterative water-filling while achieving superior computational efficiency and practical applicability. Key features include channel state estimation modules, adaptive modulation controllers, and convergence optimization techniques.
Core Source Code Implementation of Joint Adaptive Modulation and Power Allocation Algorithm for MIMO Systems Using Average Power Constrained Water-Filling with Additional Constraints
MIMO systems utilize power allocation to improve system performance, with this program primarily implementing the water-filling algorithm for power distribution
Power allocation optimization algorithm for AF (Amplify-and-Forward) mode in cooperative communications, designed to optimize power distribution between source and relay nodes using iterative optimization methods and channel state information.
This code demonstrates power allocation strategies in multi-user MIMO systems, including water-filling algorithm and equal power allocation method, with corresponding channel capacity calculations and MATLAB implementation details.
Implementing greedy algorithm-based subcarrier and power allocation in OFDM systems to minimize transmit power while maintaining a specified bit error rate, with code-level optimization strategies
A hands-on demonstration of MIMO water-filling principle implementation, facilitating understanding of SVD decomposition, water-filling algorithms, and power allocation strategies across multiple transmit antennas with code-level insights.