| Contrastive Self-Supervised Learning for Wireless Power Control |
ContrastiveSSL_WirelessPowerControl |
| Graph Neural Network for Large-Scale Network Localization |
GNN-For-localization |
| A Clustering Approach to Wireless Scheduling |
A_Clustering_Approach_to_Wireless_Scheduling |
| Deep Channel Learning For Large Intelligent Surfaces Aided mm-Wave Massive MIMO Systems |
deepChannelLearning4RIS |
| Generative Adversarial Estimation of Channel Covariance in Vehicular Millimeter Wave Systems |
GAN-cov-matrix |
| Deep Learning for Beamspace Channel Estimation in Millimeter-Wave Massive MIMO Systems |
Simulation Codes |
| Deep Learning for Polar Codes over Flat Fading Channels |
polarOverFlatFading |
| Graph Neural Networks for Scalable Radio Resource Management: Architecture Design and Theoretical Analysis |
GNN-Resource-Management |
| Enhancing WiFi Multiple Access Performance with Federated Deep Reinforcement Learning |
FLDRL-in-Wireless-Communication |
| Unfolding WMMSE using Graph Neural Networks for Efficient Power Allocation |
Unrolled-WMMSE |
| Deep Actor-Critic Learning for Distributed Power Control in Wireless Mobile Networks |
Power-Control-asilomar |
| Deep Learning for Direction of Arrival Estimation via Emulation of Large Antenna Arrays |
DoA with DNN via Emulation of Antenna Arrays |
| Acquiring Measurement Matrices via Deep Basis Persuit for Sparse Channel Estimation in mmWave Massive MIMO Systems |
DeepBP-AE |
| Deep Learning for SVD and Hybrid Beamforming |
DL_SVD_BF |
| Neural Mutual Information Estimation for Channel Coding: State-of-the-Art Estimators, Analysis, and Performance Comparison |
Reverse-Jensen_MI_estimation |
| Deep Transfer Learning Based Downlink Channel Prediction for FDD Massive MIMO Systems |
Codes-for-Deep-Transfer-Learning-Based-Downlink-Channel-Prediction-for-FDD-Massive-MIMO-Systems |
| Channel Estimation for One-Bit Multiuser Massive MIMO Using Conditional GAN |
Channel_Estimation_cGAN |
| A Model-Driven Deep Learning Method for Normalized Min-Sum LDPC Decoding |
A-Model-Driven-Deep-Learning-Method-for-Normalized-Min-Sum-LDPC-Decoding |
| Complex-Valued Convolutions for Modulation Recognition using Deep Learning |
Complex_Convolutions |
| Enabling Large Intelligent Surfaces with Compressive Sensing and Deep Learning |
LIS-DeepLearning |
| Wireless link adaptation - a hybrid data-driven and model-based approach |
LinkAdaptationCSI |
| Deep unfolding of the weighted MMSE algorithm |
WMMSE-deep-unfolding |
| Learn to Compress CSI and Allocate Resources in Vehicular Networks |
Learn-CompressCSI-RA-V2X-Code |
| Benchmarking End-to-end Learning of MIMO Physical-Layer Communication |
DeepLearning_MIMO |
| Learned Conjugate Gradient Descent Network for Massive MIMO Detection |
LcgNet |
| Trainable Projected Gradient Detector for Massive Overloaded MIMO Channels: Data-driven Tuning Approach |
overloaded_MIMO |
| Deep Soft Interference Cancellation for MIMO Detection |
DeepSIC |
| Reinforcement Learning Based Scheduling Algorithm for Optimizing Age of Information in Ultra Reliable Low Latency Networks |
AoI_RL |
| Decoder-in-the-Loop: Genetic Optimization-based LDPC Code Design |
Genetic-Algorithm-based-LDPC-Code-Design |
| MaMIMO CSI-based positioning using CNNs: Peeking inside the black box |
inside-the-black-box |
| Learning Combinatorial Optimization Algorithms over Graphs |
graph_comb_opt |
| Extending the RISC-V ISA for Efficient RNN-based 5G Radio Resource Management |
RNNASIP |
| Power Allocation in Multi-user Cellular Networks With Deep Q Learning Approach |
PA_ICC |
| Power Allocation in Multi-User Cellular Networks: Deep Reinforcement Learning Approaches |
PA_TWC |
| Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation |
FEDL |
| Federated Learning over Wireless Networks: Optimization Model Design and Analysis |
OnDevAI |
| Deep learning based end-to-end wireless communication systems with conditional GAN as unknown channel |
End2End_GAN |
| Intelligent Resource Allocation in Wireless Communications Systems |
IRAWCS |
| Spatio-Temporal Representation with Deep Recurrent Network in MIMO CSI Feedback |
ConvlstmCsiNet |
| Neural Network Aided SC Decoder for Polar Codes |
1_NND |
| Exploiting Bi-Directional Channel Reciprocity in Deep Learning for Low Rate Massive MIMO CSI Feedback |
Bi-Directional-Channel-Reciprocity |
| Performance Evaluation of Channel Decoding With Deep Neural Networks |
deep-neural-network-decoder |
| Learning the MMSE Channel Estimator |
learning-mmse-est |
| Deep Deterministic Policy Gradient (DDPG)-Based Energy Harvesting Wireless Communications |
Energy-Harvesting-DDPG |
| Model-Aware Deep Architectures for One-Bit Compressive Variational Autoencoding |
deep1bitVAE Not Yet |
| CSI-based Positioning in Massive MIMO systems using Convolutional Neural Networks |
MaMIMO_CSI_with_CNN_positioning |
| Deep Learning for mmWave Beam and Blockage Prediction Using Sub-6GHz Channels |
Sub6-Preds-mmWave |
| Deep Learning for Channel Coding via Neural Mutual Information Estimation |
Wireless_encoding_with_MI_estimation |
| Deep Learning for the Gaussian Wiretap Channel |
NN_GWTC |
| Multi-resolution CSI Feedback with deep learning in Massive MIMO System |
CRNet Recommend! very detailed README |
| Deep-Reinforcement Learning Multiple Access for Heterogeneous Wireless Networks |
DLMA |
| Mobility-Aware Centralized Reinforcement Learning for Dynamic Resource Allocation in HetNets |
UARA |
| Deep Learning for Direct Hybrid Precoding in Millimeter Wave Massive MIMO Systems |
DL-hybrid-precoder |
| Deep Learning-Based Detector for OFDM-IM |
DeepIM |
| Meta-Learning to Communicate: Fast End-to-End Training for Fading Channels |
meta-autoencoder |
| Learning to Communicate in a Noisy Environment |
echo |
| Low-rank mmWave MIMO channel estimation in one-bit receivers |
Low-rank-MIMO-channel-estimation-from-one-bit-measurements |
| Deep Learning for Massive MIMO with 1-Bit ADCs: When More Antennas Need Fewer Pilots |
1-Bit-ADCs |
| ns-3 meets OpenAI Gym: The Playground for Machine Learning in Networking Research |
ns3-gym |
| Turbo Autoencoder: Deep learning based channel code for point-to-point communication channels |
yihanjiang/turboae |
| Communication Algorithms via Deep Learning |
yihanjiang/commviadl |
| Towards Optimal Power Control via Ensembling Deep Neural Networks |
PCNet-ePCNet |
| Low-Precision Neural Network Decoding of Polar Codes |
low-precision-nnd |
| A Graph Neural Network Approach for Scalable Wireless Power Control |
Globecom2019 |
| CNN-based Precoder and Combiner Design in mmWave MIMO Systems |
Deep_HybridBeamforming |
| Sequential Convolutional Recurrent Neural Networks for Fast Automatic Modulation Classification |
coming soon |
| An Open-Source Framework for Adaptive Traffic Signal Control |
docwza/sumolights |
| A CNN-Based End-to-End Learning Framework Towards Intelligent Communication Systems |
Deepcom |
| Reinforcement Learning for Channel Coding: Learned Bit-Flipping Decoding |
RLdecoding |
| Adaptive Neural Signal Detection for Massive MIMO |
mehrdadkhani/MMNet |
| Deep Reinforcement Learning for Dynamic Multichannel Access in Wireless Networks |
DynamicMultiChannelRL |
| Q-Learning Algorithm for VoLTE Closed-Loop Power Control in Indoor Small Cells |
Q-Learning-Power-Control |
| Spectrum sharing in vehicular networks based on multi-agent reinforcement learning |
MARLspectrumSharingV2X |
| Deep Learning Models for Wireless Signal Classification With Distributed Low-Cost Spectrum Sensors |
modulation_classif |
| Learning Physical-Layer Communication with Quantized Feedback |
quantizedfeedback |
| Decentralized Scheduling for Cooperative Localization with Deep Reinforcement Learning |
DeepRLVehicularLocalization |
| Deep Reinforcement Learning for Dynamic Multichannel Access in Wireless Networks |
DynamicMultiChannelRL |
| MIST: A Novel Training Strategy for Low-latencyScalable Neural Net Decoders |
MIST_CNN_Decoder |
| Deep UL2DL: Channel Knowledge Transfer from Uplink to Downlink |
UL2DL |
| Deep Learning for TDD and FDD Massive MIMO: Mapping Channels in Space and Frequency |
DL-Massive-MIMO |
| Machine Learning meets Stochastic Geometry: Determinantal Subset Selection for Wireless Networks |
DPPL |
| Learning Based Power Control for mmWave Massive MIMO against Jamming |
Learning-Based-Power-Control-for-mmWave-Massive-MIMO-against-Jamming |
| Sparsely Connected Neural Network for Massive MIMO Detection |
MIMO_Detection |
| Power Allocation in Multi-Cell Networks Using Deep Reinforcement Learningg |
qfnet |
| Deep Learning in Downlink Coordinated Multipoint in New Radio Heterogeneous Networks |
DL-CoMP-Machine-Learning |
| Deep Reinforcement Learning for Resource Allocation in V2V Communications |
https://github.com/haoyye/ResourceAllocationReinforcementLearning |
| RF-based Direction Finding of UAVs Using DNN |
https://github.com/LahiruJayasinghe/DeepDOA |
| Deepcode: Feedback Codes via Deep Learning |
https://github.com/hyejikim1/Deepcode
https://github.com/yihanjiang/feedback_code |
| Physical Adversarial Attacks Against End-to-End Autoencoder Communication Systems |
https://github.com/meysamsadeghi/Security-and-Robustness-of-Deep-Learning-in-Wireless-Communication-Systems |
| AIF: An Artificial Intelligence Framework for Smart Wireless Network Management |
caogang/WlanDqn |
| Deep-Learning-Power-Allocation-in-Massive-MIMO |
lucasanguinetti / Deep-Learning-Power-Allocation-in-Massive-MIMO |
| DeepMIMO: A Generic Deep Learning Dataset for Millimeter Wave and Massive MIMO Applications |
The DeepMIMO Dataset |
| Fast Deep Learning for Automatic Modulation Classification |
dl4amc/source |
| Deep Learning-Based Channel Estimation |
Mehran-Soltani/ChannelNet |
| Transmit Power Control Using Deep Neural Network for Underlay Device-to-Device Communication |
seotaijiya/TPC_D2D |
| Deep learning-based channel estimation for beamspace mmWave massive MIMO systems |
hehengtao/LDAMP_based-Channel-estimation |
| Spatial deep learning for wireless scheduling |
willtop/Spatial_DeepLearning_Wireless_Scheduling |
| Decentralized Computation Offloading for Multi-User Mobile Edge Computing: A Deep Reinforcement Learning Approach |
swordest/mec_drl |
| A deep-reinforcement learning approach for software-defined networking routing optimization |
knowledgedefinednetworking / a-deep-rl-approach-for-sdn-routing-optimization |
| Q-Learning Algorithm for VoLTE Closed-Loop Power Control in Indoor Small Cells |
farismismar / Q-Learning-Power-Control |
| Deep Learning for Optimal Energy-Efficient Power Control in Wireless Interference Networks |
bmatthiesen / deep-EE-opt |
| Actor-Critic-Based Resource Allocation for Multi-modal Optical Networks |
BoyuanYan / Actor-Critic-Based-Resource-Allocation-for-Multimodal-Optical-Networks |
| Deep MIMO Detection |
neevsamuel/DeepMIMODetection |
| Learning to Detect |
neevsamuel/LearningToDetect |
| An iterative BP-CNN architecture for channel decoding |
liangfei-info/Iterative-BP-CNN |
| On Deep Learning-Based Channel Decoding |
gruberto/DL-ChannelDecoding
Decoder-using-deep-learning |
| DELMU: A Deep Learning Approach to Maximising the Utility of Virtualised Millimetre-Wave Backhauls |
ruihuili / DELMU |
| Deep Q-Learning for Self-Organizing Networks Fault Management and Radio Performance Improvement |
farismismar / Deep-Q-Learning-SON-Perf-Improvement |
| An Introduction to Deep Learning for the Physical Layer |
yashcao / RTN-DL-for-physical-layer
musicbeer / Deep-Learning-for-the-Physical-Layer
helloMRDJ / autoencoder-for-the-Physical-Layer |
| Convolutional Radio Modulation Recognition Networks |
chrisruk/cnn
qieaaa / Singal-CNN |
| Deep-Waveform: A Learned OFDM Receiver Based on Deep Complex Convolutional Networks |
zhongyuanzhao / dl_ofdm |
| Joint Transceiver Optimization for WirelessCommunication PHY with Convolutional NeuralNetwork |
hlz1992/RadioCNN |
| Deep Learning for Massive MIMO CSI Feedback |
sydney222 / Python_CsiNet |
| Beamforming Design for Large-Scale Antenna Arrays Using Deep Learning |
TianLin0509/BF-design-with-DL |
| 5G MIMO Data for Machine Learning: Application to Beam-Selection using Deep Learning |
lasseufpa/5gm-data |
| Deep multi-user reinforcement learning for dynamic spectrum access in multichannel wireless networks |
shkrwnd/Deep-Reinforcement-Learning-for-Dynamic-Spectrum-Access |
| DeepNap: Data-Driven Base Station Sleeping Operations through Deep Reinforcement Learning |
zaxliu/deepnap |
| Automatic Modulation Classification: A Deep Learning Enabled Approach |
mengxiaomao/CNN_AMC |
| Deep Architectures for Modulation Recognition |
qieaaa / Deep-Architectures-for-Modulation-Recognition |
| Energy Efficiency in Reinforcement Learning for Wireless Sensor Networks |
mkoz71 / Energy-Efficiency-in-Reinforcement-Learning |
| Learning to optimize: Training deep neural networks for wireless resource management |
Haoran-S / DNN_WMMSE |
| Implications of Decentralized Q-learning Resource Allocation in Wireless Networks |
wn-upf / decentralized_qlearning_resource_allocation_in_wns |
| Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems |
haoyye/OFDM_DNN |
