# Constrained Tensor Decomposition-Based Hybrid Beamforming for Mmwave Massive MIMO-OFDM Communication Systems
Here are the Matlab codes for the algorithms proposed in the paper "Constrained Tensor Decomposition-Based Hybrid Beamforming for Mmwave Massive MIMO-OFDM Communication Systems", published on IEEE Transactions on Vehicular Technology.
The original paper can be found at: https://ieeexplore.ieee.org/document/9419762
If you use these codes/algorithms, please, make sure you cite the original work:
G. M. Zilli and W.-P. Zhu, "Constrained tensor decomposition-based hybrid beamforming for mmwave massive MIMO-OFDM communication systems," IEEE Trans. Veh. Technol., vol. 70, no. 6, pp. 5775-5788, June 2021.
© 2021 Guilherme M. Zilli
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constrained_tensor_decomposition_hybrid_beamforming-master.zip (68个子文件)
constrained_tensor_decomposition_hybrid_beamforming-master
Comparison Power Method and Eigenvector
Figures
PM_vs_EG_SE_fig.pdf 9KB
Figures
PowerMethVsEigenvector_SE.eps 99KB
PowerMethVsEigenvector_SE.pdf 55KB
PowerMethVsEigenvectorCDF.pdf 43KB
PowerMethVsEigenvectorCDF.eps 79KB
iterationHist_plot.m 2KB
SRvsSNRplot.m 2KB
SEvsSNRplot.m 2KB
OFDMWaterFilling.m 2KB
myMUOFDMBeamformingRCD_eig.m 4KB
par_main_SNR.m 4KB
MUsumRate.m 1KB
MUspectralEfficiency.m 989B
channel_realization.m 5KB
vec.m 756B
myMUOFDMBeamformingRCD.m 4KB
par_main_CompPMvsEV.m 4KB
laprnd.m 798B
main_Convergence.m 3KB
array_response.m 1KB
Single User - OFDM
myBeamformingFastTucker.m 2KB
myBeamformingFastTucker_Quant.m 3KB
Sohrabi2017.m 4KB
dftMatrix.m 831B
OFDMWaterFilling.m 2KB
MAIN.m 147B
Chiang2018.m 2KB
par_OFDM_HBF_main_M.m 6KB
THTsai2019.m 992B
channel_realization.m 5KB
par_OFDM_HBF_main_Quant.m 5KB
par_OFDM_HBF_main.m 7KB
par_OFDM_HBF_main_Nt.m 6KB
par_OFDM_HBF_main_Ns.m 6KB
laprnd.m 798B
SUspectralEfficiency.m 468B
OFDM_HBF_main_convergence.m 3KB
main_Convergence.m 3KB
PE_AltMin.m 1KB
array_response.m 527B
JZhang2016.m 3KB
Multi User - OFDM
OFDMWaterFilling_testing.m 2KB
dftMatrix.m 831B
OFDMWaterFilling.m 2KB
par_main_K.m 4KB
GonzalesComa2018D1.m 4KB
FDBD.m 920B
par_main_SNR.m 4KB
par_run_all.m 185B
MUspectralEfficiency_testing.m 994B
MUsumRate.m 1KB
par_main_Quantized.m 5KB
MUspectralEfficiency.m 989B
FDRBD.m 1KB
par_main_Nt.m 4KB
myMUOFDMBeamformingRCD_Quant.m 4KB
par_main_M.m 5KB
channel_realization.m 5KB
vec.m 756B
myMUOFDMBeamformingRCD.m 4KB
FDRBD2.m 1KB
HybridBD.m 817B
par_main_Ns.m 4KB
laprnd.m 798B
main_Convergence.m 3KB
DZhang2019_TensorUnfolding.m 3KB
array_response.m 1KB
README.md 747B
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