/Alternating-minimization-algorithms-for-hybrid-precoding-in-millimeter-wave-MIMO-systems

Simulation codes for "Alternating minimization algorithms for hybrid precoding in millimeter wave MIMO systems," by Xianghao Yu, Juei-Chin Shen, Jun Zhang, and Khaled B. Letaief, IEEE J. Sel. Topics Signal Process., to appear, 2016.

Primary LanguageMATLAB

For the convenience of implementation, some instructions are provided as follows.

For Narrowband scenario,
1. First please set parameters of the mmWave MIMO system in "channel_realizaiton.m" and run it.
2. Save all the matrices as a .mat file, which will be used in further simulation, e.g., channel matrix, array response vectors, and optimal precoders.
3. Choose a hybrid precoding algorithm (different algorithms are packed into different folders), run the "main_XXX.m". Note that at the beginning of each "main_XXX.m" file, a command loading the saved channel matrices is used. Users should revise this command accordingly corresponding to the "XXX.mat" file name of the saved channel matrices.

** NOTE: For the "SDR_AltMin" and "SIC" algorithms, the authors used a cvx (Version 2.1, Build 1103 (9714d49)). Users should include a cvx package when these algorithms are implemented.

For OFDM scenario,
Just choose an algorithm folder and run the "main_SNR.m".


** Users can also carefully use the "parfor" command to implement the Matlab parallel pool to accelerate the simulation.

** The solvers for manifold optimization in the codes are from Manopt, details can be found on http://www.manopt.org/, or
[Ref] N. Boumal, B. Mishra, P.-A. Absil, and R. Sepulchre, ¡°Manopt, a Matlab toolbox for optimization on manifolds,¡± J. Mach. Learn. Research, vol. 15, pp. 1455¨C1459, Jan. 2014.