Pinned Repositories
Adaptive-Widely-Linear-Constrained-Constant-Modulus-Reduced-Rank-Beamforming
Simulation code for "X. Wu, Y. Cai, M. Zhao, R. C. de Lamare and B. Champagne, "Adaptive Widely Linear Constrained Constant Modulus Reduced-Rank Beamforming," in IEEE Transactions on Aerospace and Electronic Systems, vol. 53, no. 1, pp. 477-492, Feb. 2017, doi: 10.1109/TAES.2017.2650838."
Async-DSTC-FreqSel
MATLAB codes for M. R. Avendi and H. Jafarkhani, "Differential Distributed Space-Time Coding with Imperfect Synchronization in Frequency-Selective Channels," IEEE Transactions on Wireless Communications, vol.14, no.4, pp.1811,1822, April 2015
Cell-free-OTFS
Cell-free Massive MIMO Meets OTFS Modulation
coarsely-quantized-ML-channel-estimation-algorithm
These codes are for the paper that published on IEEE COMML: F. Liu, X. Shang, Y. Cheng and G. Zhang, "Computationally Efficient Maximum Likelihood Channel Estimation for Coarsely Quantized Massive MIMO Systems," in IEEE Communications Letters, vol. 26, no. 2, pp. 444-448, Feb. 2022, doi: 10.1109/LCOMM.2021.3133705.
constrained_tensor_decomposition_hybrid_beamforming
Constrained Tensor Decomposition-Based Hybrid Beamforming for Mmwave Massive MIMO-OFDM Communication Systems
Distributed-Space-Time-Coding-with-Imperfect-Synchronization
Distributed Space-Time Coding with Imperfect Synchronization
Energy-Efficient_UAV_Communication_With_Trajectory_Optimization
ICASSP22
IRSdiagnosis
MATLAB codes for implementing the diagnostic techniques in "Diagnosis of Intelligent Reflecting Surface in Millimeter-wave Communication Systems". Original article available at https://ieeexplore.ieee.org/abstract/document/9614042
matlab-codes-1bmm
1bmm-codes
mimemm's Repositories
mimemm/matlab-codes-1bmm
1bmm-codes
mimemm/Adaptive-Widely-Linear-Constrained-Constant-Modulus-Reduced-Rank-Beamforming
Simulation code for "X. Wu, Y. Cai, M. Zhao, R. C. de Lamare and B. Champagne, "Adaptive Widely Linear Constrained Constant Modulus Reduced-Rank Beamforming," in IEEE Transactions on Aerospace and Electronic Systems, vol. 53, no. 1, pp. 477-492, Feb. 2017, doi: 10.1109/TAES.2017.2650838."
mimemm/Async-DSTC-FreqSel
MATLAB codes for M. R. Avendi and H. Jafarkhani, "Differential Distributed Space-Time Coding with Imperfect Synchronization in Frequency-Selective Channels," IEEE Transactions on Wireless Communications, vol.14, no.4, pp.1811,1822, April 2015
mimemm/Cell-free-OTFS
Cell-free Massive MIMO Meets OTFS Modulation
mimemm/coarsely-quantized-ML-channel-estimation-algorithm
These codes are for the paper that published on IEEE COMML: F. Liu, X. Shang, Y. Cheng and G. Zhang, "Computationally Efficient Maximum Likelihood Channel Estimation for Coarsely Quantized Massive MIMO Systems," in IEEE Communications Letters, vol. 26, no. 2, pp. 444-448, Feb. 2022, doi: 10.1109/LCOMM.2021.3133705.
mimemm/constrained_tensor_decomposition_hybrid_beamforming
Constrained Tensor Decomposition-Based Hybrid Beamforming for Mmwave Massive MIMO-OFDM Communication Systems
mimemm/Distributed-Space-Time-Coding-with-Imperfect-Synchronization
Distributed Space-Time Coding with Imperfect Synchronization
mimemm/Energy-Efficient_UAV_Communication_With_Trajectory_Optimization
mimemm/ICASSP22
mimemm/IRSdiagnosis
MATLAB codes for implementing the diagnostic techniques in "Diagnosis of Intelligent Reflecting Surface in Millimeter-wave Communication Systems". Original article available at https://ieeexplore.ieee.org/abstract/document/9614042
mimemm/mmWaveCellFree
This repository contain main codes for the paper "Self-Organizing Cell-Free mmWave Wireless Network: Hybrid Analog-Digital Beamforming and DRL-Based Modeling"
mimemm/noma-empowered-integrated-sensing-and-communication
The code for the paper NOMA Empowered Integrated Sensing and Communication
mimemm/Semi-blind-Channel-Estimation-for-Multiuser-Massive-MIMO-Systems
Simulation code for "E. Nayebi and B. D. Rao, "Semi-blind Channel Estimation for Multiuser Massive MIMO Systems," in IEEE Transactions on Signal Processing, vol. 66, no. 2, pp. 540-553, 15 Jan.15, 2018, doi: 10.1109/TSP.2017.2771725."
mimemm/Signal-Denoising-and-Detection-for-LoRa-based-on-AE-and-CNN
This is the Matlab code for the paper "Signal Denoising and Detection for Uplink in LoRa Networks based on Bayesian-optimized Deep Neural Networks" submitted in the IEEE Communications Letters.
mimemm/STAR-IOS-Aided-NOMA-Networks-Channel-Model-Approximation-and-Performance-Analysis
This package is the codes for a journal paper that is accepted by IEEE Transactions on Wireless Communications. Link: https://ieeexplore.ieee.org/document/9722712
mimemm/TSP22
mimemm/WMMSE-multicell-NOMA
This repository contains the source code for the "Optimal power allocation for multi-cell downlink NOMA system" research.