Pinned Repositories
Resource-Allocation-D2D
Resource allocation for Device-to-Device (D2D) communications using deep reinforcement learning.
bipartited2d
Bipartite Graph Based Proportional Fair Resource Allocation for D2D Communication
carrot
Free ChatGPT Site List 这儿为你准备了众多免费好用的ChatGPT镜像站点
D2D
Resource Allocation and Interference Cancellation in D2D Communication
Deep-MIMO-Detection
deep_MIMO
Unofficial Pytorch implementation of Deep Learning-Based MIMO Communications (Timothy J. O’Shea)
DeepLearning_MIMO
DeepLearning_MIMO-NOMA
Realization of MIMO-NOMA signal detection system based on **C. Lin et al., “A deep learning approach for MIMO-NOMA downlink signal detection,” MDPI Sensors, vol. 19, no. 11, pp. 2526, 2019.
DeepMIMO-Deep-Neural-Networks-in-MIMO-systems
We will apply deep machine learning in the classical MIMO detection problem and understand its advantages and disadvantages.
Device-to-Device-Communication
Joint Mode Selection and Resource Allocation
HL1122's Repositories
HL1122/GNN-Communication-Networks
This is the repository for the collection of Graph-based Deep Learning for Communication Networks.
HL1122/RIS-Codes-Collection
RIS-Codes-Collection: A Complete Collection contains the Codes for RIS(IRS) Researches.
HL1122/SemSharing
This repository hosts a demonstration of the semantic encoder and decoder algorithm as presented in the paper "AI-Generated Incentive Mechanism and Full-Duplex Semantic Communications for Information Sharing"
HL1122/carrot
Free ChatGPT Site List 这儿为你准备了众多免费好用的ChatGPT镜像站点
HL1122/GNN-aggregation-over-the-air
HL1122/openrl
Unified Reinforcement Learning Framework
HL1122/gpt_academic
为ChatGPT/GLM提供实用化交互界面，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm2等本地模型。兼容文心一言, moss, llama2, rwkv, claude2, 通义千问, 书生, 讯飞星火等。
HL1122/UAV-RIS-blockage
HL1122/flex-net
HL1122/Low-Complexity-Hybrid-Beamforming-For-MmWave-Full-Duplex-Integrated-Access-And-Backhaul
Simulation code for the paper "Low Complexity Hybrid Beamforming for mmWave Full-Duplex Integrated Access and Backhaul" in IEEE Globecom 2022
HL1122/learn-to-branch-d2d
HL1122/hignn
Code implementation for the paper ``Scalable Power Control/Beamforming in Heterogeneous Wireless Networks with Graph Neural Networks''.
HL1122/GNNPapersCommNets
HL1122/IRS_Enhanced-Wireless-Network_Joint-Active-and-Passive-BeamformingDesign_Qingqing-Wu-and-Rui-Zhang
paper simulation "Intelligent Reflecting Surface Enhanced Wireless Network_Joint Active and Passive BeamformingDesign" Qingqing Wu and Rui Zhang
HL1122/GNN4Com
HL1122/Multi-RIS
Multi-RIS-aided Wireless Systems: Statistical Characterization and Performance Analysis, IEEE Transactions on Communications, Sep. 2021.
HL1122/HRRIS_for_MEC
Matlab codes for paper 'K. -H. Ngo, N. T. Nguyen, T. Q. Dinh, T. -M. Hoang and M. Juntti, "Low-Latency and Secure Computation Offloading Assisted by Hybrid % Relay-Reflecting Intelligent Surface," in Proc. Int. Conf. Advanced Technologies for Communications (ATC), Hanoi, Vietnam, 2021, pp. 306-311.'
HL1122/IRS-relaying
Simulation code for “Intelligent Reflecting Surface vs. Decode-and-Forward: How Large Surfaces Are Needed to Beat Relaying?,” by Emil Björnson, Özgecan Özdogan, Erik G. Larsson, IEEE Wireless Communications Letters, vol. 9, no. 2, pp. 244-248, February 2020.
HL1122/GNN-Resource-Management
HL1122/Globecom2019
HL1122/WMMSE-deep-unfolding
HL1122/Paper-with-Code-of-Wireless-communication-Based-on-DL
无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL
HL1122/M.S.-Thesis
CNN-Based Resource Allocation for Energy-Efficient D2D Communications
HL1122/DeepMIMO-Deep-Neural-Networks-in-MIMO-systems
We will apply deep machine learning in the classical MIMO detection problem and understand its advantages and disadvantages.
HL1122/DeepLearning_MIMO-NOMA
Realization of MIMO-NOMA signal detection system based on **C. Lin et al., “A deep learning approach for MIMO-NOMA downlink signal detection,” MDPI Sensors, vol. 19, no. 11, pp. 2526, 2019.
HL1122/deep_MIMO
Unofficial Pytorch implementation of Deep Learning-Based MIMO Communications (Timothy J. O’Shea)
HL1122/Resource-Allocation-D2D
Resource allocation for Device-to-Device (D2D) communications using deep reinforcement learning.
HL1122/DeepLearning_MIMO
HL1122/Double-Deep-Q-Learning-for-Resource-Allocation
Reproduce results of the research article "Deep Reinforcement Learning Based Resource Allocation for V2V Communications"
HL1122/HL