Repository: ken0225/RIS_Codes_Collection Branch: main Commit: 7b00c147117b Files: 1 Total size: 38.4 KB Directory structure: gitextract_4_8_wucj/ └── README.md ================================================ FILE CONTENTS ================================================ ================================================ FILE: README.md ================================================ _IMPORTANT: If you in any way use the code in this collection for research that results in publications, please CITE the original article. I also recommend that you mention the existence of the code package that you use in your manuscript, to spread the word about its existence and to ensure that you will not be accused of plagiarism by the reviewers of your manuscript._ # RIS-Codes-Collection: A Complete Collection contains the Codes for RIS(IRS) Researches. ## First Update: [05/January/2021, No.1] ## Latest Update: [08/April/2026, No.211] * If you find new code for RIS(IRS) paper, please remind me [here](https://github.com/ken0225/RIS_Codes_Collection/issues). * Best reading paper in RIS(IRS) is [here](https://www.comsoc.org/publications/best-readings/reconfigurable-intelligent-surfaces), although slightly outdated. * Some authorizations by authors can be found [here](https://github.com/bmatthiesen/IRS-continuous/issues/1) and [here](https://github.com/emilbjornson/IRS-relaying/issues/1). * Please **STAR** this collection if it is helpful to you. * I'm in charge of this project, but if the code you're looking for isn't in the repertory, I **CANNOT** help you find it elsewhere. * **While RIS research is getting crowded, meaningful contributions still stand out. Check out our latest paper, "**On the Impact of Phase Errors in Phase-Dependent Amplitudes of Near-Field RISs**," recently published in IEEE Transactions on Vehicular Technology. It investigates the critical coupling between phase-dependent amplitudes and phase errors in near-field RIS. By accounting for these effects, our model corrects existing overestimation in the literature. The MATLAB source code, along with the LaTeX files and the response to reviewers, has been made open-sourced on GitHub to ensure full transparency and reproducibility.** * **I have revised several of my codes, mainly focusing on train-side RIS and rotatable RIS. Please check here and here.** * My personal page is available: [kewang.fun](http://kewang.fun). * Star history: [![RIS-Codes-Collection](https://api.star-history.com/svg?repos=ken0225/RIS-Codes-Collection)](https://star-history.com/#datawhalechina/leedl-tutorial&Date). * Project details: |No.| Paper Title | Authors | | ------ | ------ | ------ | |1| [Intelligent Reflecting Surface Operation under Predictable Receiver Mobility: A Continuous Time Propagation Model](https://github.com/bmatthiesen/IRS-continuous) | Bho Matthiesen, etal. | |2| [Reconfigurable Intelligent Surfaces: Three Myths and Two Critical Questions](https://github.com/emilbjornson/RIS-myths) | Emil Björnson, etal. | |3|[Rayleigh Fading Modeling and Channel Hardening for Reconfigurable Intelligent Surfaces](https://github.com/emilbjornson/RIS-fading)|Emil Björnson, etal.| |4|[Power Scaling Laws and Near-Field Behaviors of Massive MIMO and Intelligent Reflecting Surfaces](https://github.com/emilbjornson/near-field-behavior)|Emil Björnson, etal.| |5|[Intelligent Reflecting Surface vs. Decode-and-Forward: How Large Surfaces Are Needed to Beat Relaying?](https://github.com/emilbjornson/IRS-relaying)|Emil Björnson, etal.| |6|[Enabling Large Intelligent Surfaces with Compressive Sensing and Deep Learning](https://github.com/Abdelrahman-Taha/LIS-DeepLearning)|Abdelrahman Taha, etal.| |7|[SimRIS Channel Simulator for Reconfigurable Intelligent Surfaces in Future Wireless Networks](https://corelab.ku.edu.tr/simrisv2-0/)|E. Basar, etal.| |8|[Transmission Through Large Intelligent Surfaces: A New Frontier in Wireless Communications](https://corelab.ku.edu.tr/wp-content/uploads/2019/02/LIS_BER_MATLAB_Codes.zip)|E. Basar, etal.| |9|[Weighted Sum-Rate Maximization for Reconfigurable Intelligent Surface Aided Wireless Networks](https://github.com/guohuayan/WSR-maximization-for-RIS-system)|H. Guo, etal.| |10|[Intelligent Reflecting Surface Aided Multi-User mmWave Communications for Coverage Enhancement](https://github.com/yashcao/Intelligent-reflecting-surface-aided-multi-user-mmWave-communications-for-coverage-enhancement)|Yashuai Cao, etal.| |11|[Diagnosis of Intelligent Reflecting Surface in Millimeter-wave Communication Systems](https://github.com/DestinationSR/IRSdiagnosis)|Rui Sun, etal.| |12|[Intelligent Reflecting Surfaces: Physics, Propagation, and Pathloss Modeling](https://github.com/emilbjornson/IRS-modeling)|Özgecan Özdogan, etal.| |15|[PARAFAC-Based Channel Estimation for Intelligent Reflective Surface Assisted MIMO System](https://github.com/TianLin0509/reproduction_of_BALS)|TianLin(reproduction work).| |16|[A Framework of Robust Transmission Design for IRS-Aided MISO Communications With Imperfect Cascaded Channels](https://github.com/ken0225/Framework-of-Robust-Transmission-Design-for-IRS-Aided-MISO-Communications)|G. Zhou, etal.| |17|[SISO RIS-Enabled Joint 3D Downlink Localization and Synchronization](https://github.com/KamranKeykhosravi/RIS-Enabled-SISO-Localization)|Kamran Keykhosravi, etal.| |18|[Near-field Localization with a Reconfigurable Intelligent Surface Acting as Lens](https://github.com/henkwymeersch/RISLensLocalization)|Zohair Abu-Shaban, etal.| |19|[Channel Estimation for RIS Assisted Wireless Communications: Part II - An Improved Solution Based on Double-Structured Sparsity](http://oa.ee.tsinghua.edu.cn/dailinglong/publications/publications.html)| Linglong Dai, etal.| |20|[Passive Beamforming and Information Transfer Design for Reconfigurable Intelligent Surfaces Aided Multiuser MIMO Systems](https://github.com/Yuan-Xiaojun/MIMO_SingleRIS)|W. Yan, etal.| |21|[Passive Beamforming and Information Transfer via Large Intelligent Surface](https://github.com/Yuan-Xiaojun/Matlab_SIMO)|W. Yan, etal.| |22|[Deep Channel Learning For Large Intelligent Surfaces Aided mm-Wave Massive MIMO Systems](https://github.com/meuseabe/deepChannelLearning4RIS)|A. M. Elbir, etal.| |23|[Matrix-calibration-based cascaded channel estimation for reconfigurable intelligent surface assisted multiuser MIMO](https://github.com/liuhang1994/Matrix-Calibration-Based-Cascaded-Channel-Estimation)|Hang Liu, etal.| |24|[Reconfigurable-Intelligent-Surface Empowered Wireless Communications: Challenges and Opportunities](https://github.com/liuhang1994/RIS_Rate_VS_Channel_Error)|X. Yuan, etal.| |25|[Deep Denoising Neural Network Assisted Compressive Channel Estimation for mmWave Intelligent Reflecting Surfaces](https://github.com/scliubit/complex-DnCNN)|S. Liu, etal| |26|[Terahertz Massive MIMO with Holographic Reconfigurable Intelligent Surfaces](https://github.com/gaozhen16/Source-Code-Z.Wan/tree/main/Code_THzHoloRIS_CSbasedCE/Code_THzHoloRIS_CSbasedCE)|Z. Wan, etal.| |27|[Copula-Based Bounds for Multi-User Communications](https://gitlab.com/klb2/copula-mu-performance-bounds)|Karl-L. Besser, etal.| |28|[Channel Estimation for Intelligent Reflecting Surface Assisted Multiuser Communications](https://github.com/Zhaoruiwang/Channel-Estimation-for-Intelligent-Reflecting-Surface-Assisted-Multiuser-Communications)|Z. Wang, etal| |29|[Multi-RIS-aided Wireless Systems: Statistical Characterization and Performance Analysis](https://github.com/trinhudo/Multi-RIS)|Tri Nhu Do, etal.| |30|[Aerial Reconfigurable Intelligent Surface-Aided Wireless Communication Systems](https://github.com/trinhudo/Aerial-RIS)|Tri Nhu Do, etal.| |31|[Reconfigurable intelligent surface enabled federated learning: A unified communication-learning design approach](https://github.com/liuhang1994/RIS-FL)|Hang Liu, etal.| |32|[Channel Estimation for Reconfigurable Intelligent Surface Aided Multi-User mmWave MIMO Systems](https://github.com/jayJieChen/ChannelEstimation-RIS-MUmmWAVe-MIMO-Systems)|Jiajie Chen, etal.| |33|[Reconfigurable Intelligent Surface for Enhanced Communication Techniques](https://github.com/saarthaksm29/Reconfigurable-Intelligent-Surface)|saarthaksm29| |34|[Two-Timescale Channel Estimation for Reconfigurable Intelligent Surface Aided Wireless Communications](http://oa.ee.tsinghua.edu.cn/dailinglong/publications/publications.html)|Chen Hu, etal.| |35|[A joint precoding framework for wideband reconfigurable intelligent surface-aided cell-free network](http://oa.ee.tsinghua.edu.cn/dailinglong/publications/publications.html)|Z. Zhang, etal.| |36|[Multiple Antenna Selection and Successive Signal Detection for SM-Based IRS-Aided Communication](https://github.com/hasanabs/MAS_SSD)|H. Albinsaid, etal| |37|[RISs for Doppler Effect and Multipath Fading Mitigation](https://corelab.ku.edu.tr/wp-content/uploads/2019/12/Doppler-RISs.zip)|E. Basar, etal.| |38|[Dimension reduced channel feedback for reconfigurable intelligent surface aided wireless communications](http://oa.ee.tsinghua.edu.cn/dailinglong/publications/publications.html)|Linglong Dai, etal.| |39|[Learning to Reflect and to Beamform for Intelligent Reflecting Surface with Implicit Channel Estimation](https://github.com/taojiang-github/GNN-IRS-Beamforming-Reflection)|Tao Jiang, etal.| |40|[A Primer on Near-Field Beamforming for Arrays and Reconfigurable Intelligent Surfaces](https://github.com/emilbjornson/nearfield-primer)|Emil Björnson, etal.| |41|[Convolutional Autoencoder-Based Phase Shift Feedback Compression for Intelligent Reflecting Surface-Assisted Wireless Systems](https://github.com/xian-hua/PSCDN)|X. Yu, etal.| |42|[Channel estimation for extremely large-scale massive MIMO far-field near-field or hybrid-field?](http://oa.ee.tsinghua.edu.cn/dailinglong/publications/publications.html)|Linglong Dai, etal.| |43|[Active reconfigurable intelligent surface: Fully-connected or sub-connected?](http://oa.ee.tsinghua.edu.cn/dailinglong/publications/publications.html)|Linglong Dai, etal.| |44|[Compact user-specific reconfigurable intelligent surfaces for uplink transmission](http://oa.ee.tsinghua.edu.cn/dailinglong/publications/publications.html)|Linglong Dai, etal.| |45|[IRS-Aided SWIPT: Joint Waveform, Active and Passive Beamforming Design Under Nonlinear Harvester Model](https://github.com/SnowzTail/irs-aided-swipt-joint-waveform-active-and-passive-beamforming-design-under-nonlinear-harvester-model/tree/master/src)|Yang Zhao, etal.| |46|[Reconfigurable Intelligent Surfaces: Tradeoff between Unit-Cell- and Surface-Level Design under Quantifiable Benchmarks](https://ieee-dataport.org/documents/reconfigurable-intelligent-surfaceris-benchmarking-results-and-simulation-code#comment-form)|Ammarrafique, etal.| |47|[Secure Wireless Communication in RIS-Aided MISO System With Hardware Impairments](https://github.com/ZhouGuiGuiGui/Secure-Wireless-Communication-in-RIS-Aided-MISO-System-With-Hardware-Impairments)|Gui Zhou, etal.| |48|[Reconfigurable Intelligent Surfaces: A Signal Processing Perspective With Wireless Applications](https://github.com/emilbjornson/SPM_RIS)|Emil Björnson, etal.| |49|[IEEE Signal Processing Cup 2021](https://github.com/emilbjornson/SP_Cup_2021)|Emil Björnson, etal.| |50|[Intelligent Reflecting Surface Aided Vehicular Communications](https://github.com/dilin993/IRS_Aided_Vehicular_Communications)|Dilin Dampahalage, etal.| |51|[Electromagnetic Model of Reflective Intelligent Surfaces](https://github.com/MicheleBorgese/Intelligent-Surfaces)|Filippo Costa, etal.| |52|[Channel estimation for reconfigurable intelligent surfaces with enhanced deep residual networks](https://github.com/BJTU-MIMO/RIS_Channel_estimation_EDSR_MDSR)|Y. Jin, etal.| |53|[Intelligent Reflecting Surface Configuration With Historical Channel Observations](https://github.com/guohuayan/IRS_opt_statistical_CSI)|H Guo, etal.| |54|[Cascaded Channel Estimation for Intelligent Reflecting Surface Assisted Multiuser MISO Systems](https://github.com/guohuayan/IRS_channel_estimation)|H Guo, etal.| |55|[Active RIS vs. Passive RIS: Which Will Prevail in 6G?](https://github.com/Brook1711/RIS_components)|Brook1711(reproduction work).| |56|[Capacity enhancement for irregular reconfigurable intelligent surface-aided wireless communications](http://oa.ee.tsinghua.edu.cn/dailinglong/publications/publications.html)|Linglong Dai, etal.| |57|[Reconfigurable Intelligent Surface Assisted Multiuser MISO Systems Exploiting Deep Reinforcement Learning](https://github.com/baturaysaglam/RIS-MISO-Deep-Reinforcement-Learning)|Baturay Saglam(reproduction work).| |58|[Performance Analysis of RIS-Aided Systems With Practical Phase Shift and Amplitude Response](https://github.com/BJTU-MIMO/RIS_Practical)|Yan Zhang, etal.| |59|[An-Overview-of-Signal-Processing-Techniques-for-RIS-IRS-aided-Wireless-Systems](https://github.com/wkz20042008/An-Overview-of-Signal-Processing-Techniques-for-RIS-IRS-aided-Wireless-Systems)|Cunhua Pan, etal.| |60|[End-to-end learning for RIS-aided communication systems](http://oa.ee.tsinghua.edu.cn/dailinglong/publications/publications.html)|Linglong Dai, etal.| |61|[Positioning Information Based High-Speed Communications with Multiple RISs: Doppler Mitigation and Hardware Impairments](https://github.com/ken0225/Multi-RIS-Doppler-Mitigation-Hardware-Impairments)|K. Wang, etal.| |62|[Codebook design and beam training for extremely large-scale RIS: Far-field or near-field?](http://oa.ee.tsinghua.edu.cn/dailinglong/publications/publications.html)|Linglong Dai, etal.| |63|[Distributed machine learning based downlink channel estimation for RIS assisted wireless communications](http://oa.ee.tsinghua.edu.cn/dailinglong/publications/publications.html)|Linglong Dai, etal.| |64|[Uplink Cascaded Channel Estimation for Intelligent Reflecting Surface Assisted Multiuser MISO Systems](https://github.com/guohuayan/IRS_Channel_Estimation)|Guo, etal.| |65|[Deep Reinforcement Learning Based Joint Downlink Beamforming and RIS Configuration in RIS-aided MU-MISO Systems Under Hardware Impairments and Imperfect CSI](https://github.com/baturaysaglam/RIS-MISO-PDA-Deep-Reinforcement-Learning)|Baturay Saglam(reproduction work).| |66|[On the Secrecy Rate under Statistical QoS Provisioning for RIS-assisted MISO Wiretap Channel](https://github.com/vkumar-ucd/EffectiveSecrecyRate)|V. Kumar, etal.| |67|[Achievable Rate Maximization for Underlay Spectrum Sharing MIMO System with Intelligent Reflecting Surface](https://github.com/vkumar-ucd/IRS_MIMO_UnderlaySpectrumSharing)|V. Kumar, etal.| |68|[Artificial Fast Fading from Reconfigurable Surfaces Enables Ultra-Reliable Communications](https://github.com/klb2/ris-phase-hopping)|Eduard Jorswieck, etal.| |69|[Achievable Rate Optimization for MIMO Systems with Reconfigurable Intelligent Surfaces](https://github.com/tranlenam/RateMaxMIMORIS)|Nemanja Stefan Perović, etal.| |70|[Channel Characterization for RIS-aided Terahertz Communications: A Stochastic Approach](https://github.com/thanhluannguyen/THz-RIS-Stochastic)|Thanh Luan Nguyen, etal.| |71|[Intelligent Reflecting Surface Configurations for Smart Radio Using Deep Reinforcement Learning](https://github.com/WeiWang-WYS/IRSconfigurationDRL)|Wei Wang, etal.| |72|[STAR-RIS-Lab](https://github.com/STAR-Yuanwei-Liu)|Yuanwei Liu, etal.| |73|[6G Simulation Platform: From the Physical-layer to Networking with RIS](https://github.com/alexpapad95/6G-simulation-platform)|Alexandros Papadopoulos, etal.| |74|[RIS-Aided 6G Communication System With Accurate Traceable User Mobility](https://github.com/Jumper1-rgb/RIS_Beam_tracking_EKF)|P. Zhang, etal.| |75|[Optimal Discrete Beamforming of Reconfigurable Intelligent Surface](https://github.com/RujingXiong/RIS_Optimization)|Rujing Xiong,, etal.| |76|[Channel Estimation for Reconfigurable Intelligent Surface Assisted High-Mobility Wireless Systems](https://github.com/cx1g08)|Xu C, etal.| |77|[3D-Trajectory and Phase-Shift Design for RIS-Assisted UAV Systems Using Deep Reinforcement Learning](https://github.com/HaiboMei/UAV-RIS-DRL)|Mei H, etal.| |78|[Deep Reinforcement Learning Based Joint Downlink Beamforming and RIS Configuration in RIS-aided MU-MISO Systems Under Hardware Impairments and Imperfect CSI](https://github.com/baturaysaglam/ris-miso-pda-deep-reinforcement-learning)|Baturay Saglam, etal.| |79|[Efficient URLLC with a Reconfigurable Intelligent Surface and Imperfect Device Tracking](https://github.com/aau-cnt/efficient-ris-aided-urllc)|Fabio Saggese, etal.| |80|[Millimeter Wave Communications With RIS performance analysis and optimization](https://github.com/BJTU-MIMO/mmWave_RIS_Performance_Optimization)|Hongyang Du, etal.| |81|[RIS-Assisted High-Speed Communications with Time-Varying Distance-Dependent Rician Channels](https://github.com/ken0225/RIS-Distance-Dependent-Rician-Channels)|K. Wang, etal.| |83|[Learning to Estimate RIS-Aided mmWave Channels](https://github.com/jiguanghe/RISCE)|He, Jiguang, etal.| |84|[A RIS-Based Passive DOA Estimation Method for Integrated Sensing and Communication System](https://github.com/chenpengseu/PassiveDOA-ISAC-RIS)|Chen, Z, etal.| |85|[Hybrid Relay-Reflecting Intelligent Surface-Assisted Wireless Communication](https://github.com/xiaogaogaoxiao/Hybrid-Relay-RIS)|Nhan Thanh Nguyen, etal.| |86|[Intelligent Reflecting Surface Enhanced Wireless Network: Joint Active and Passive Beamforming Design](https://github.com/jhan-04/IRS_Enhanced-Wireless-Network_Joint-Active-and-Passive-BeamformingDesign_Qingqing-Wu-and-Rui-Zhang)|jhan-04(reproduction work)| |87|[Sum-rate maximization for linearly precoded downlink multiuser MISO systems with partial CSIT: A rate-splitting approach](https://github.com/jhan-04/Sum-Rate-Maximization-for-Linearly-Precoded-Downlink-Multiuser-MISO-Systems-With-Partial-CSIT-A-Rate)|jhan-04(reproduction work)| |88|[End-to-end fading channel modeling for RIS-empowered smart wireless environments](https://github.com/philipp-delhougne/PhysFad)|Faqiri, etal.| |89|[A Novel SCA-Based Method for Beamforming Optimization in IRS/RIS-Assisted MU-MISO Downlink](https://github.com/vkumar-ucd/SCABeamformingIRS)|V. Kumar, etal.| |90|[Uplink-Performance-of-Cell-Free-Extremely-Large-Scale-MIMO-Systems](https://github.com/HaoLei-tnunder/Uplink-Performance-of-Cell-Free-Extremely-Large-Scale-MIMO-Systems)|H. Lei, etal.| |91|[Low-Complexity Precoding for Extremely Large-Scale MIMO Over Non-Stationary Channels](https://github.com/bokaixu5/Low-complexity-precoding-algorithm-for-XL-MIMO)|Xu, Bokai, etal.| |92|[Multi-Beam Design for Extremely Large-Scale RIS Aided Near-Field Wireless Communications](http://oa.ee.tsinghua.edu.cn/dailinglong/publications/code/Multi-Beam_Design_for_Extremely_Large-Scale_RIS_Aided_Near-Field_Wireless_Communications.zip)|Linglong Dai, etal.| |93|[Active RISs: Signal modeling, asymptotic analysis, and beamforming design](http://oa.ee.tsinghua.edu.cn/dailinglong/publications/code/Active%20RISs_Signal%20Modeling,%20Asymptotic%20Analysis,%20and%20Beamforming%20Design.zip)|Linglong Dai, etal.| |94|[Sensing RISs: Enabling dimension-independent CSI acquisition for beamforming](http://oa.ee.tsinghua.edu.cn/dailinglong/publications/code/Sensing%20RISs%20Enabling%20dimension-independent%20CSI%20acquisition%20for%20beamforming.zip)|Linglong Dai, etal.| |95|[Transforming RIS-Assidted Passive Beamforming from Tedious to Simple: A Relaxation Algorithm for Ricain Channel](https://github.com/dwyanedong/relaxation-algorithm-on-ris-miso)|Xuehui Dong, etal.| |96|[PhysFad: Physics-Based End-to-End Channel Modeling of RIS-Parametrized Environments with Adjustable Fading](https://github.com/philipp-delhougne/physfad)|Rashid Faqiri, etal.| |97|[Dimensioning an Indoor SISO RIS-system: Approximations and Equivalence Models](https://github.com/saksham291/dimensioning_ris)|aksham Bhushan, etal.| |98|[Low-Latency and Secure Computation Offloading Assisted by Hybrid Relay-Reflecting Intelligent Surface](https://github.com/khachoang1412/HRRIS_for_MEC)|K. -H. Ngo, etal.| |99|[NOMA-Based Coexistence of Near-Field and Far-Field Massive MIMO Communications](https://github.com/zhiguo-ding/near_far_field)|Z. Ding, etal.| |100|[Multi-Functional RIS-Aided Wireless Communications](https://github.com/WW-BUPT/MF-RIS)|Wen Wang, etal.| |101|[Localization-based OFDM framework for RIS-aided systems](https://github.com/lostinafro/ris-ofdm-loca-scheduling)|Fabio Saggese, etal.| |102|[A Framework for Control Channels Applied to Reconfigurable Intelligent Surfaces](https://github.com/lostinafro/ris-control)|Fabio Saggese, etal.| |103|[Long-Lasting UAV-aided RIS Communications based on SWIPT](https://github.com/Haoran-Peng/UAV-RIS_EH_DDPG)|Peng Haoran, etal.| |104|[Energy Harvesting Reconfigurable Intelligent Surface for UAV Based on Robust Deep Reinforcement Learning](https://github.com/Haoran-Peng/UAV-RIS_EnergyHarvesting)|Peng Haoran, etal.| |105|[RISnet: a Dedicated Scalable Neural Network Architecture for Optimization of Reconfigurable Intelligent Surfaces](https://github.com/bilepeng/risnet)|B. Peng, etal.| |106|[Deep Reinforcement Learning for Secrecy Energy-Efficient UAV Communication with Reconfigurable Intelligent Surfaces](https://github.com/yjwong1999/Twin-TD3)|yjwong1999, etal.| |107|[Reconfigurable intelligent surfaces for 6G: Nine fundamental issues and one critical problem](http://oa.ee.tsinghua.edu.cn/dailinglong/publications/publications.html)|Linglong Dai, etal.| |108|[Deep Learning-Based Rate-Splitting Multiple Access for Reconfigurable Intelligent Surface-Aided Tera-Hertz Massive MIMO](https://github.com/wuminghui123/DL_RSMA)|Minghui Wu, etal.| |109|[Sensing User's Channel and Location with Terahertz Extra-Large Reconfigurable Intelligent Surface under Hybrid-Field Beam Squint Effect](https://github.com/LiZhuoRan0/RIS-AidedChannelEstandLocalization_THzHybridFieldBeamSquint)|Z. Li, etal.| |110|[Closed-Form Global Optimization of Beyond Diagonal Reconfigurable Intelligent Surfaces](https://github.com/matteonerini/optimization-of-bdris)|M. Nerini, etal.| |111|[Is Channel Estimation Necessary to Select Phase-Shifts for RIS-Assisted Massive MIMO?](https://github.com/emilbjornson/RIS-massive-MIMO)|Emil Björnson, etal.| |112|[RIS-Assisted Self-Interference Mitigation for In-Band Full-Duplex Transceivers](https://github.com/henryforzhang/ris-self-interference-mitigation)|Zhang W, etal.| |113|[A Self-Supervised Learning-Based Channel Estimation for IRS-Aided Communication Without Ground Truth](https://github.com/jhcknzzm/SSL-Based-IRS-Channel-Estimation)|Zhengming Zhang, etal.| |114|[An Orchestration Framework for Open System Models of Reconfigurable Intelligent Surfaces](https://github.com/victorcroisfelt/self-configuring-orchestration)|Croisfelt, V, etal.| |115|[A Comprehensive Dataset of RIS-based Channel Measurements in the 5GHz Band](https://github.com/RUB-DCS/RIS-S21-Measurement-Dataset)|Simon Tewes, etal.| |116|[Dual-Polarized Reconfigurable Intelligent Surface Assisted Broad Beamforming](https://github.com/parisaramezani/RISBroadBeamforming)|Parisa Ramezani, etal.| |117|[Multi-beam design for near-field extremely large-scale RIS-aided wireless communications](http://oa.ee.tsinghua.edu.cn/dailinglong/publications/publications.html)|Linglong Dai, etal.| |118|[Near-field integrated sensing and communications](https://github.com/zhaolin820/near-field-integrated-sensing-and-communications)|Z. Wang, etal.| |119|[Simultaneously Transmitting and Reflecting Surface (STARS) for Terahertz Communications](https://github.com/zhaolin820/STAR-RIS-for-terahertz-communications)|Z. Wang, etal.| |120|[Coupled phase-shift STAR-RISs: A general optimization framework](https://github.com/zhaolin820/coupled-phase-shift-STAR-RIS)|Z. Wang, etal.| |121|[Designing, Building, and Characterizing RF Switch-based Reconfigurable Intelligent Surfaces](https://github.com/marcantonio14/RIS-Power-Measurements-Dataset)|Rossanese Marco, etal.| |122|[Transmissive RIS for B5G communications: Design, prototyping, and experimental demonstrations](http://oa.ee.tsinghua.edu.cn/dailinglong/publications/publications.html)|Linglong Dai, etal.| |123|[Submodular Optimization for positioning of Reconfigurable Intelligent Surfaces (RIS)](https://github.com/TaraEsmaeilbeig/Submodular-Optimization)|Zahra Esmaeilbeig, etal.| |124|[东南大学-紫金山实验室-6G普适信道仿真器（SEU-PML-6GPCS)](https://ncrl.seu.edu.cn/2023/1024/c34871a469485/page.htm)|C.-X. Wang, etal.| |125|[Introduction to Multiple Antenna Communications and Reconfigurable Surfaces](https://github.com/emilbjornson/mimobook)|Emil Björnson, etal.| |126|[Reconfigurable Intelligent Surface Assisted Communications Using Dynamic Rotations](https://github.com/ken0225/RIS-Using-Dynamic-Rotations)|K. Wang, etal.| |127|[DNN-DANM: A High-Accuracy Two-Dimensional DOA Estimation Method Using Practical RIS](https://github.com/chenpengseu/DNN-DANM)|Z. Chen, etal.| |128|[Efficient LOS Channel Estimation for RIS Aided Communications Under Non Stationary Mobility](https://github.com/barbaalba/Efficient-LOS-Channel-Estimation-for-RIS-Aided-Communications-Under-Non-Stationary-Mobility)|M. Haghshenas, etal.| |129|[A New Channel Subspace Characterization for Channel Estimation in RIS Aided Communications](https://github.com/barbaalba/A-New-Channel-Subspace-Characterization-for-Channel-Estimation-in-RIS-Aided-Communications)|M. Haghshenas, etal.| |130|[Parametric Channel Estimation with Short Pilots in RIS-Assisted Near-and Far-Field Communications](https://github.com/barbaalba/Parametric-Channel-Estimation-with-Short-Pilots-in-RIS-Assisted-Near-and-Far-Field-Communications)|M. Haghshenas, etal.| |131|[Deep Reinforcement Learning for Intelligent Reflecting Surfaces: Towards Standalone Operation](https://www.deepmimo.net/applications/intelligent-reflecting-surfaces-rl/)|A. 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