Planewalker is a sphere decoder implementation with diverse lattice code simulation capabilitites built around it. Its implementation was carried out as a special assignment by Pasi Pyrrö, advised by Oliver Gnilke, Marcus Greferath, and Camilla Hollanti, Department of Mathematics and Systems Analysis, Aalto University, Finland.
P. Pyrrö, O. Gnilke, C. Hollanti, and M. Greferath, “Planewalker sphere decoder implementation,” 2018. [Online]. Available: https://version.aalto.fi/gitlab/pasi.pyrro/sphere-decoder/
@misc{PGHG18,
Author = {P. Pyrr\"o and O. Gnilke and C. Hollanti and M. Greferath},
Title = {\emph{Planewalker} sphere decoder implementation},
Url = {https://version.aalto.fi/gitlab/pasi.pyrro/sphere-decoder/},
Year = {2018}
}
- Comprehensive generator matrix and simulation parameters input (using text based configuration files)
- Complex matrix support
- Spherical constellation (codebook shaping) support with radius estimator for desired codebook size
- Schnorr-Euchner smart implementation of the sphere decoder algorithm with additional optimizations
- Native handling of q-PAM signaling sets
- Supports wiretap simulations (coset encoding)
- Comprehensive console (stdout), log.txt and csv simulation output
- Direct output plotting utilities via gnuplot
- Possibility to program own custom simulations with the help of predefined, reusable functions (API)
- Download the whole repository (as a zip or using git clone) somewhere and open terminal there
- Install all the required packages (e.g. with apt-get) and the Armadillo C++ linear algebra library
- If you wish to use plotting directly from the program you need to install C++ Boost library (e.g. libboost1.58-all-dev from the package manager)
- Compile the program with minimal features in terminal by typing: make
- Make also accepts argument string with=plotting+gpu where the value is a list of features to be installed (for more details see the documentation)
- Open the settings.ini in the /settings/ folder and change the variables there to setup the program, it should look something like this:
// configuration settings and simulation parameters for the sphere decoder program //
basis_file=alamouti.txt // Text file containing the basis matrices (located in the /bases/ folder)
output_file= // Optionally specify the output csv filename (located in the /output/ folder)
coset_file= // Optionally specify the coset encoding sublattice basis matrix text file (located in the /bases/ folder)
error_file= // Optionally specify a csv file containing error requirements for the SNR simulations. (located in the /settings/ folder)
channel_model=mimo // Define the channel model for the simulation (either 'mimo' or 'siso')
x-PAM=4 // The size of the PAM signaling set (even positive integer)
energy_estimation_samples=-1 // Number of samples to make the code energy estimation (-1 = sample all)
no_of_matrices=4 // Number of basis matrices (dimension of the data vectors)
matrix_coefficient=1.0 // Multiply all basis matrices by this constant
time_slots=2 // Number of time slots used in the code
no_of_transmit_antennas=2 // Number of transmit antennas
no_of_receiver_antennas=2 // Number of receiver antennas
snr_min=-6 // Minimum value for signal-to-noise ratio
snr_max=20 // Maximum value for signal-to-noise ratio
snr_step=2 // Increase SNR by this value per each iteration
simulation_rounds=10000 // Number of simulation rounds to run
required_errors=-1 // Demand at minimum this many errors before the simulation ends
plot_results=-1 // Draw plots? (1 = yes, -1 = no)
stat_display_interval=-1 // Defines after each how many rounds to display the current simulation stats (-1 = disabled)
spherical_shaping_max_power=-1 // Defines the maximum squared distance from origin for codebook elements (-1 = unbounded)
codebook_size_exponent=-1 // The codebook will have 2^s codewords where s is this parameter (overrides above parameter)
radius_search_density=100 // Defines how accurate the codebook squared radius estimation will be (shortest vector of generator matrix is divided by this)- There should be a file called alamouti.txt in /bases/ folder that contains your basis matrices (for alamouti example code)
- You can edit this file or create a new one to fit your simulation needs
- Basis matrices can be inputted in many formats, but Mathematica format (the one used in example basis files) is preferred for complex matrices (IMPORTANT: DO NOT USE WHITE SPACES AS SEPARATORS FOR MATRIX ELEMENTS)
- Run the program with: ./pwalk or make run (the latter runs with the default settings file)
- If you configured the program correctly it should now run the simulation
- You can have multiple settings files (in the /settings/ folder) and use them in the simulation by giving their name as an command line argument for the program like: ./pwalk alamouti_settings.ini
- Program output should be found at /output/ folder
(Naturally in order for this to work you need a C++ compiler (g++) that supports C++11 standard installed on your system, should be no problem on Aalto computers)
- Random generation of spherical codewords seems to have some selection bias, that shifts the average energy of the codebook slightly
- Spherical shaping radius estimation does not work 100% of the time (used with codebook_size_exponent parameter)
- There is a weird issue with openmp parallel computing library that causes the initial radius for the sphere decoder sometimes to be too small when using spherical shaping (quick workarounds: either disable parallelism or use infinite initial radius)
Copyright (c) 2018 Pasi Pyrrö
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