HybridPrecodingOpt : Optimization algorithms for hybrid precoding in millimeter wave (mmWave) MIMO systems
Authors: Hiroyuki Kasai
Last page update: November 29, 2018
Latest version: 1.1.1 (see Release notes for more info)
Hybrid precoding(-beamforming) is the most promising approach to reduce high hardware costs and high power consumptions in large-scale millimeter wave (mmWave) MIMO systems. Hybrid precoding combines large-dimensional analog precoding (or beamforming) via phase shifters with lower-dimensional digital baseband precoding.
A maximization problem of spectral efficiency approximately boils down to a minimization problem of the Euclidean distance between the fully digital precoder and the hybrid precoder. This problem is further formulated as a matrix factorization problem of he fully digital precoder with a product of the digital baseband precoder matrix and the analog radio frequency (RF) precoder (or beamforming) matrix. The noteworthy point is that the phase shifters impose an additional element-wise unit modulus constraints on the analog RF precoder matrix.
This package provides the codes of the proposed optimization algorithms for hybrid precoding. This code includes existing state-of-the arts algorithms, too. Most of the codes of this package come from the super brilliant project.
The document can be found below;
- H. Kasai, "Fast optimization algorithm on complex oblique manifold for hybrid precoding in Millimeter Wave MIMO systems," GlobalSIP2018, pdf.
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Proposed
- H. Kasai, "Fast optimization algorithm on complex oblique manifold for hybrid precoding in Millimeter Wave MIMO systems," GlobalSIP2018, pdf.
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MO-AltMin
- X. Yu, J.-C. Shen, J. Zhang, and K. B. Letaief, "Alternating minimization algorithms for hybrid precoding in millimeter wave MIMO systems," IEEE Journal on Selected Areas in Communications, vol. 10, no. 3, pp. 485-500, 2016.
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PE-AltMin
- X. Yu, J.-C. Shen, J. Zhang, and K. B. Letaief, "Alternating minimization algorithms for hybrid precoding in millimeter wave MIMO systems," IEEE Journal on Selected Areas in Communications, vol. 10, no. 3, pp. 485-500, 2016.
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FPS-AltMin
- X. Yu, J. Zhang, and K. B. Letaief, "Hybrid Precoding in Millimeter Wave Systems: How Many Phase Shifters Are Needed?," IEEE Global Communications Conference (Globecom), 2017.
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OMP-based
- O. E. Ayach, S. Rajagopal, S. Abu-Surra, Z. Pi, and R. W. Heath, "Spatially sparse precoding in millimeter wave MIMO systems," IEEE Transations on Wireless Communications, vol. 13, no. 3, pp. 1499-1513, 2014.
./ - Top directory. ./README.md - This readme file. ./run_me_first.m - The scipt that you need to run first. ./demo.m - Demonstration script. ./comp_OFDM.m - Simulation script for OFDM. |proposed/ - Contains the files for the proposed algorithms. |benchmarks/ - Contains the files for the existing algorithms. |cvx/ - Folder for CVX project (Please downlod by yoursel!).
Run run_me_first
for path configurations.
%% First run the setup script
run_me_first;
Just execute demo
for the first demonstration of this package.
Execute channel_realization
in benchmarks/AltMinAlg/datasets/
folder to generate datasets such as `Ns=3.mat'. The script outputs the datasete file in there. You can load this generated dataset file in the script.
- Comparison with the MO-AltMin algorithm.
- Spectral efficiency for SNRs.
- Spectral efficiency and processing time under different number of data streams, and antennass in transmitter/receiver.
- Most of the codes of the package come from the codes in AltMinAlg.
- FPS-AltMin is downloadable here.
- The project uses the MATLAB toolbox Manopt.
- CVX package is required for the narrrowband simulations. Please download the packege from here into
cvx
folder.
If you have any problems or questions, please contact the author: Hiroyuki Kasai (email: hiroyuki dot kasai at waseda dot jp)
- Version 1.1.1 (June 09, 2021)
- Added the pdf file.
- Version 1.1.1 (November 29, 2018)
- Opened to public.
- Version 1.1.0 (July 03, 2018)
- FPS-AltMin is added.
- Version 1.0.0 (July 01, 2018)
- Initial version.