MIMO Channel Capacity Simulation
A simulation study of MIMO channel capacity featuring capacity calculation and visualization, with code implementation details for educational reference.
Explore MATLAB source code curated for "信道容量" with clean implementations, documentation, and examples.
A simulation study of MIMO channel capacity featuring capacity calculation and visualization, with code implementation details for educational reference.
Programming implementation of general channel capacity iterative algorithm using MATLAB software with code optimization and performance analysis
Comparative simulation of channel capacity between MIMO (Multiple-Input Multiple-Output) and single-antenna systems, including algorithm implementations and performance analysis with executable code examples
MATLAB simulation of MIMO channel capacity using Monte Carlo methods with uniformly distributed linear base station configurations.
Channel capacity analysis of MIMO systems under AWGN channel conditions with code implementation considerations
Power Allocation Algorithms in CDMA Systems: Optimizing Power Control to Enhance Channel Capacity with Technical Implementation Insights
MIMO-OFDM System Simulation with Multiple Implementation Files: Exploring Channel Capacity Calculations and Channel Estimation Algorithms
Simulation of precoding techniques for multiuser MIMO systems, focusing on bit error rate and channel capacity based on signal-to-leakage-and-noise ratio (SLNR) criterion and its enhanced algorithms. This research includes original references and comparative simulation plots comparing zero-forcing precoding, single-user precoding, and SLNR-based algorithms. Complete with detailed implementation code and comprehensive documentation from an outstanding graduation project.
Simulation of MIMO System Channel Capacity under AWGN Conditions with Implementation for Performance Analysis
Comprehensive MATLAB simulation materials covering MIMO channel modeling, channel capacity calculations, and coding schemes. This resource provides practical implementation examples and code demonstrations for effective MIMO simulation learning.