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Simple MIMO simulator
Multiple-input multiple-output (MIMO) technology in combination with spatial multiplexing has established itself as a way of significantly increasing the spectral efficiency compared to single-antenna wireless communication systems. One of the main drawbacks of MIMO communication is the computational complexity of optimum data detection, which scales exponentially in the number of simultaneously transmitted data streams. Hence, most practical implementations for MIMO technology rely on low-complexity algorithms that provide sub-optimal performance. During the last decade, a plethora of algorithms and corresponding hardware designs have been proposed in the literature.
When I was recently looking for a simple MIMO simulator framework suitable for less experienced undergraduate and graduate students, I could not find a single one that is simple enough and can be extended to incorporate various detection algorithms. I therefore decided to develop a very simple MATLAB simulator that is able to simulate hard-output error-rate performance curves and contains the most basic optimal and sub-optimal detection algorithms (such as zero-forcing, minimum mean-square error detection, and a sphere decoder that achieves ML performance). I believe that this simulator provides a good and easy start for students and professionals that are interested in MIMO technology.
The software package contains a single-file Matlab simulator that performs Monte-Carlo simulations to extract error-rate vs. signal-to-noise ratio (SNR) curves. The simulator only supports hard-output MIMO detectors, but is set up such that you can add your own extensions (e.g., algorithms, channel models, codes, etc.). The code is written by C. Studer, and is available for free trial, non-commercial research or education purposes, and for non-profit organizations. If you plan on using the code or parts thereof for commercial purposes or if you intend to re-distribute the code or parts thereof, you must contact the author. If you are using the code or parts thereof for your scientific work, you must provide a reference to this website.
The simulator package only requires a fairly recent version of Matlab. No special toolbox is needed.
If you agree with the conditions and regulations above, you may download the package here. The zip file (4kB) contains one Matlab .m file and a README.txt file. The simulator should run out of the box. Have fun!