/deepHybridBeamforming

These MATLAB scripts are prepared by A.M.E for the following paper, A. M. Elbir, "CNN-Based Precoder and Combiner Design in mmWave MIMO Systems," IEEE Communications Letters, vol. 23, no. 7, pp. 1240-1243, July 2019 please cite the above work if you use this codes, For any comments and questions please email: ahmetmelbir@gmail.com This codes can also be used with slight modification for applications, such as antenna selection + multi-user hybrid beamforming and DOA estimation.

Primary LanguageMATLAB

% These MATLAB scripts are prepared by A.M.E for the following paper,
% A. M. Elbir, "CNN-Based Precoder and Combiner Design in mmWave MIMO Systems," IEEE Communications Letters, vol. 23, no. 7, pp. 1240-1243, July 2019
% please cite the above work if you use this codes,
% Following codes can be required to run manifold optimization: https://github.com/yuxianghao/Alternating-minimization-algorithms-for-hybrid-precoding-in-millimeter-wave-MIMO-systems.git
% For any comments and questions please email: ahmetmelbir@gmail.com
% This codes can also be used with slight modification for applications, such as antenna selection + multi-user hybrid beamforming and DOA estimation. It can be used for the following works with slight modification:
A. M. Elbir, "DeepMUSIC: Multiple Signal Classification via Deep Learning," IEEE Sensors Letters, vol. 4, no. 4, pp. 1-4, April 2020.
A. M. Elbir and Kumar Vijay Mishra, "Sparse Array Selection Across Arbitrary Sensor Geometries with Deep Transfer Learning", IEEE Transactions on Cognitive Communications and Networking
A. M. Elbir and Kumar Vijay Mishra, "Joint Antenna Selection and Hybrid Beamformer Design using Unquantized and Quantized Deep Learning Networks", IEEE Transactions on Wireless Communications, vol. 19, no. 3, pp. 1677-1688, March 2020.