


@techreport{report_ITU,
    author = {Jawad Manssour and  Rajeev Saluja and Radhey 
Shyam Sarda},
    title = {Ericsson Mobility Report},
    institution = {爱立信},
    address ={北京},
    year = {2023},
    month = {11}
}

@online{news_cctv,
url = {https://news.cctv.com/2024/01/20/ARTIY06MemR5Wyq9rIlTNXsd240120.shtml},
year={(2024-01-20) [2024-04-24]},
title = {我国累计建成5G基站337.7万个},
author = {刘亮}
}

@book{report_huawei,
    author = {童文 and 朱佩英},
    title = {6G：无线通信新征程},
    address ={北京},
    publisher = {机械工业出版社},
    year = {2021},
    language={zh}
}

@ARTICLE{paper:mao,
  author={Mao, Qian and Hu, Fei and Hao, Qi},
  journal={IEEE Communications Surveys \& Tutorials}, 
  title={Deep Learning for Intelligent Wireless Networks: A Comprehensive Survey}, 
  year={2018},
  volume={20},
  number={4},
  pages={2595-2621},
  keywords={Machine learning;Wireless networks;Feature extraction;Routing;Computers;Interference;Deep learning;Wireless networks;deep learning (DL);deep reinforcement learning (DRL);protocol layers;performance optimization},
  doi={10.1109/COMST.2018.2846401}}

@article{paper:bjtu,
author = {栾宁 and 熊轲 and 张煜 and 何睿斯 and 屈钢 and 艾渤},
title = {6G：典型应用、关键技术与面临挑战},
publisher = {物联网学报},
year = {2022},
journal = {物联网学报},
volume = {6},
number = {1},
eid = {29},
numpages = {14},
pages = {29-43},
keywords = {;6G移动通信网络;触觉通信;信息年龄;空天地海一体化},
doi = {10.11959/j.issn.2096-3750.2022.00253},
language={zh}
}  

@article{paper:oyang,
  title={通信人工智能的下一个十年},
  author={欧阳晔 and 王立磊 and 杨爱东 and 马利克 and 萨哈 and 大卫 and 贝兰格 and 高同庆 and 韦乐平 and 张亚勤},
  journal={电信科学},
  volume={37},
  number={3},
  pages={1--36},
  year={2021},
  language={zh}
}

@ARTICLE{paper:Kutty,
  author={Kutty, Shajahan and Sen, Debarati},
  journal={IEEE Communications Surveys \& Tutorials}, 
  title={Beamforming for Millimeter Wave Communications: An Inclusive Survey}, 
  year={2016},
  volume={18},
  number={2},
  pages={949-973},
  keywords={Array signal processing;Millimeter wave communication;Arrays;Receiving antennas;Phased Array;Beam Switching;Codebook;Numerical Search;Massive MIMO;Hybrid Beamforming;Compressed Sensing;Phased array;beam switching;codebook;numerical search;massive MIMO;hybrid beamforming;compressed sensing},
  doi={10.1109/COMST.2015.2504600}}

@article{paper:biqi,
  title={LTE 多天线技术发展趋势},
  author={毕奇 and 谢伟良 and 陈鹏 },
  journal={电信科学},
  volume={30},
  number={10},
  pages={1--7},
  year={2014},
  language={zh}
}


@ARTICLE{book:Hong,
  author={Bui, Nicola and Cesana, Matteo and Hosseini, S. Amir and Liao, Qi and Malanchini, Ilaria and Widmer, Joerg},
  journal={IEEE Communications Surveys \& Tutorials}, 
  title={A Survey of Anticipatory Mobile Networking: Context-Based Classification, Prediction Methodologies, and Optimization Techniques}, 
  year={2017},
  volume={19},
  number={3},
  pages={1790-1821},
  keywords={Optimization;Context;Predictive models;Context modeling;Mobile computing;Mobile communication;Anticipatory;prediction;optimization;5G;mobile networks},
  doi={10.1109/COMST.2017.2694140}}



@ARTICLE{book:Eduard,
  author={Agarwal, Bharat and Togou, Mohammed Amine and Marco, Marco and Muntean, Gabriel-Miro},
  journal={IEEE Communications Surveys \& Tutorials}, 
  title={A Comprehensive Survey on Radio Resource Management in 5G HetNets: Current Solutions, Future Trends and Open Issues}, 
  year={2022},
  volume={24},
  number={4},
  pages={2495-2534},
  keywords={5G mobile communication;Interference;Resource management;Quality of service;Quality of experience;Business;Market research;HetNets;radio resource management;user association;5G;femtocells;QoS;QoE},
  doi={10.1109/COMST.2022.3207967}}



@ARTICLE{paper:Schubert,
  author={Schubert, M. and Boche, H.},
  journal={IEEE Transactions on Vehicular Technology}, 
  title={Solution of the Multiuser Downlink Beamforming Problem with Individual SINR Constraints}, 
  year={2004},
  volume={53},
  number={1},
  pages={18-28},
  keywords={Downlink;Array signal processing;Signal to noise ratio;Crosstalk;Iterative algorithms;Base stations;Transmitters;Eigenvalues and eigenfunctions;Sufficient conditions;Convergence},
  doi={10.1109/TVT.2003.819629}}

@ARTICLE{paper:Gershman,
  author={Gershman, Alex B. and Sidiropoulos, Nicholas D. and Shahbazpanahi, Shahram and Bengtsson, Mats and Ottersten, Bjorn},
  journal={IEEE Signal Processing Magazine}, 
  title={Convex Optimization-Based Beamforming}, 
  year={2010},
  volume={27},
  number={3},
  pages={62-75},
  keywords={Array signal processing;Robustness;Design optimization;Interference;Downlink;Quality of service;MIMO;Unicast;Radio transmitters;Optimization methods},
  doi={10.1109/MSP.2010.936015}}


@ARTICLE{paper:Wiesel,
  author={Wiesel, A. and Eldar, Y.C. and Shamai, S.},
  journal={IEEE Transactions on Signal Processing}, 
  title={Linear Precoding via Conic Optimization for Fixed MIMO Receivers}, 
  year={2006},
  volume={54},
  number={1},
  pages={161-176},
  keywords={MIMO;Transmitters;Signal to noise ratio;Array signal processing;Acoustic distortion;Signal processing algorithms;Multiaccess communication;Transmitting antennas;Design optimization;Ambient intelligence;Linear precoding;multiple-input-multiple-output (MIMO) systems;optimization methods},
  doi={10.1109/TSP.2005.861073}}

@ARTICLE{paper:Luo,
  author={Luo, Zhi-quan and Ma, Wing-kin and So, Anthony Man-cho and Ye, Yinyu and Zhang, Shuzhong},
  journal={IEEE Signal Processing Magazine}, 
  title={Semidefinite Relaxation of Quadratic Optimization Problems}, 
  year={2010},
  volume={27},
  number={3},
  pages={20-34},
  keywords={Array signal processing;Signal processing;MIMO;Downlink;Ellipsoids;Radar applications;Robustness;Parameter estimation;Speech recognition;Magnetic resonance imaging},
  doi={10.1109/MSP.2010.936019}}


@book{paper:Bengtsson,
  title={Optimum and Suboptimum Transmit Beamforming},
  author={Bengtsson, Mats and Ottersten, Bj{\"o}rn},
  booktitle={Handbook of antennas in wireless communications},
  address ={Boca Raton},
  pages={18--1},
  year={2018},
  publisher={CRC Press}
}

@misc{cvx,
  author       = {Michael Grant and Stephen Boyd},
  title        = {{CVX}: Matlab Software for Disciplined Convex Programming, version 2.1},
  howpublished = {\url{https://cvxr.com/cvx}},
  month        = mar,
  year         = 2014
}

@ARTICLE{paper:Liu,
  author={Liu, Ya-Feng and Dai, Yu-Hong and Luo, Zhi-Quan},
  journal={IEEE Transactions on Signal Processing}, 
  title={Coordinated Beamforming for MISO Interference Channel: Complexity Analysis and Efficient Algorithms}, 
  year={2011},
  volume={59},
  number={3},
  pages={1142-1157},
  keywords={Array signal processing;Polynomials;Base stations;Optimization;Harmonic analysis;Interference channels;Complexity;coordinated beamforming;cyclic coordinate descent algorithm;global convergence;MISO interference channel},
  doi={10.1109/TSP.2010.2092772}}


@ARTICLE{paper:Ami,
  author={Wiesel, Ami and Eldar, Yonina C. and Shamai, Shlomo},
  journal={IEEE Transactions on Signal Processing}, 
  title={Zero-Forcing Precoding and Generalized Inverses}, 
  year={2008},
  volume={56},
  number={9},
  pages={4409-4418},
  keywords={Transmitters;Array signal processing;Throughput;Broadcasting;Signal processing algorithms;MIMO;Ambient intelligence;Linear algebra;Optimization methods;Computer simulation;Beamforming;generalized inverses;per-antenna constraints;semidefinite relaxation;zero-forcing precoding},
  doi={10.1109/TSP.2008.924638}}


@ARTICLE{paper:shen,
  author={Shen, Chao and Li, Wei-Chiang and Chang, Tsung-Hui},
  journal={IEEE Transactions on Signal Processing}, 
  title={Wireless Information and Energy Transfer in Multi-Antenna Interference Channel}, 
  year={2014},
  volume={62},
  number={23},
  pages={6249-6264},
  keywords={Receivers;Energy harvesting;Time division multiple access;Transmitters;Time division multiplexing;Wireless communication;Energy exchange;Beamforming;convex optimization;energy harvesting;interference channel;wireless energy transfer},
  doi={10.1109/TSP.2014.2355781}}

@ARTICLE{paper:Ya-Feng,
  author={Liu, Ya-Feng and Dai, Yu-Hong and Luo, Zhi-Quan},
  journal={IEEE Transactions on Signal Processing}, 
  title={Coordinated Beamforming for MISO Interference Channel: Complexity Analysis and Efficient Algorithms}, 
  year={2011},
  volume={59},
  number={3},
  pages={1142-1157},
  keywords={Array signal processing;Polynomials;Base stations;Optimization;Harmonic analysis;Interference channels;Complexity;coordinated beamforming;cyclic coordinate descent algorithm;global convergence;MISO interference channel},
  doi={10.1109/TSP.2010.2092772}}


@ARTICLE{paper:Christensen,
  author={Christensen, Søren Skovgaard and Agarwal, Rajiv and De Carvalho, Elisabeth and Cioffi, John M.},
  journal={IEEE Transactions on Wireless Communications}, 
  title={Weighted Sum-rate Maximization Using Weighted MMSE for MIMO-BC Beamforming Design}, 
  year={2008},
  volume={7},
  number={12},
  pages={4792-4799},
  keywords={Array signal processing;Meteorological radar;Iterative algorithms;MIMO;Mean square error methods;Antennas and propagation;Downlink;Nonlinear filters;Broadcasting;Mutual information;MIMO systems, transceiver design, smart antennas;antennas and propagation.},
  doi={10.1109/T-WC.2008.070851}}


@ARTICLE{paper:Qingjiang,
  author={Shi, Qingjiang and Razaviyayn, Meisam and Luo, Zhi-Quan and He, Chen},
  journal={IEEE Transactions on Signal Processing}, 
  title={An Iteratively Weighted MMSE Approach to Distributed Sum-Utility Maximization for a MIMO Interfering Broadcast Channel}, 
  year={2011},
  volume={59},
  number={9},
  pages={4331-4340},
  keywords={Receivers;Covariance matrix;Interference;Minimization;Algorithm design and analysis;MIMO;Transmitters;Linear beamformer;MIMO interfering broadcast channel;sum-utility maximization;weighted MMSE;weighted sum-rate maximization},
  doi={10.1109/TSP.2011.2147784}}


@ARTICLE{paper:lu,
  author={Lu, Yang and Xiong, Ke and Fan, Pingyi and Ding, Zhiguo and Zhong, Zhangdui and Letaief, Khaled Ben},
  journal={IEEE Journal on Selected Areas in Communications}, 
  title={Global Energy Efficiency in Secure MISO SWIPT Systems With Non-Linear Power-Splitting EH Model}, 
  year={2019},
  volume={37},
  number={1},
  pages={216-232},
  keywords={Receivers;Wireless sensor networks;MISO communication;Minimization;Integrated circuit modeling;Communication system security;Wireless communication;Energy efficiency;SWIPT;MISO;fractional programming;successive convex approximation;non-linear EH model;PS EH receiver architecture},
  doi={10.1109/JSAC.2018.2872369}}

@ARTICLE{paper:li,
  author={Li, Yang and Tian, Yafei and Yang, Chenyang},
  journal={IEEE Transactions on Vehicular Technology}, 
  title={Energy-Efficient Coordinated Beamforming Under Minimal Data Rate Constraint of Each User}, 
  year={2015},
  volume={64},
  number={6},
  pages={2387-2397},
  keywords={Interference;Quality of service;Iterative methods;Array signal processing;Antennas;Linear programming;Optimization;Coordinated beamforming;energy efficiency (EE);precoding design;quality of service (QoS)},
  doi={10.1109/TVT.2014.2343255}}


@ARTICLE{paper:Sun,
  author={Sun, Haoran and Chen, Xiangyi and Shi, Qingjiang and Hong, Mingyi and Fu, Xiao and Sidiropoulos, Nicholas D.},
  journal={IEEE Transactions on Signal Processing}, 
  title={Learning to Optimize: Training Deep Neural Networks for Interference Management}, 
  year={2018},
  volume={66},
  number={20},
  pages={5438-5453},
  keywords={Signal processing algorithms;Approximation algorithms;Interference;Optimization;Task analysis;Machine learning algorithms;Wireless communication;Optimization algorithms approximation;deep neural networks;interference management;WMMSE algorithm},
  doi={10.1109/TSP.2018.2866382}}

@INPROCEEDINGS{paper:Sun2,
  author={Sun, Haoran and Chen, Xiangyi and Shi, Qingjiang and Hong, Mingyi and Fu, Xiao and Sidiropoulos, Nikos D.},
  booktitle={IEEE 18th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)}, 
  title={Learning to Optimize: Training Deep Neural Networks for Wireless Resource Management}, 
  year={2017},
  volume={},
  number={},
  pages={1-6},
  keywords={Signal processing algorithms;Resource management;Approximation algorithms;Wireless communication;Optimization;Algorithm design and analysis;Real-time systems},
  doi={10.1109/SPAWC.2017.8227766}}


@ARTICLE{paper:Xia,
  author={Xia, Wenchao and Zheng, Gan and Zhu, Yongxu and Zhang, Jun and Wang, Jiangzhou and Petropulu, Athina P.},
  journal={IEEE Transactions on Communications}, 
  title={A Deep Learning Framework for Optimization of MISO Downlink Beamforming}, 
  year={2020},
  volume={68},
  number={3},
  pages={1866-1880},
  keywords={Array signal processing;Signal to noise ratio;Interference;Optimization;Minimization;Neural networks;MISO communication;Deep learning;beamforming;MISO;beamforming neural network},
  doi={10.1109/TCOMM.2019.2960361}}

@ARTICLE{paper:Huang,
  author={Huang, Hao and Peng, Yang and Yang, Jie and Xia, Wenchao and Gui, Guan},
  journal={IEEE Transactions on Vehicular Technology}, 
  title={Fast Beamforming Design via Deep Learning}, 
  year={2020},
  volume={69},
  number={1},
  pages={1065-1069},
  keywords={Array signal processing;Uplink;Downlink;Resource management;Deep learning;MIMO communication;Optimization;Beamforming design;sum rate maximization;deep learning;beamforming prediction network},
  doi={10.1109/TVT.2019.2949122}}

@ARTICLE{paper:Liang,
  author={Liang, Fei and Shen, Cong and Yu, Wei and Wu, Feng},
  journal={IEEE Transactions on Communications}, 
  title={Towards Optimal Power Control via Ensembling Deep Neural Networks}, 
  year={2020},
  volume={68},
  number={3},
  pages={1760-1776},
  keywords={Power control;Neural networks;Machine learning;Decoding;Receivers;Interference channels;Training;Power control;interference mitigation;deep neural networks (DNN);ensemble learning},
  doi={10.1109/TCOMM.2019.2957482}}

@ARTICLE{paper:Kim,
  author={Kim, Junbeom and Lee, Hoon and Hong, Seung-Eun and Park, Seok-Hwan},
  journal={IEEE Wireless Communications Letters}, 
  title={Deep Learning Methods for Universal MISO Beamforming}, 
  year={2020},
  volume={9},
  number={11},
  pages={1894-1898},
  keywords={Array signal processing;Optimization;Downlink;Training;Deep learning;MISO communication;Neural networks;Multi-user MISO downlink;deep learning;beamforming;interference management;unsupervised learning},
  doi={10.1109/LWC.2020.3007198}}


@ARTICLE{paper:kim2,
  author={Kim, Junbeom and Lee, Hoon and Park, Seok-Hwan},
  journal={IEEE Communications Letters}, 
  title={Learning Robust Beamforming for MISO Downlink Systems}, 
  year={2021},
  volume={25},
  number={6},
  pages={1916-1920},
  keywords={Array signal processing;Optimization;Channel estimation;Training;Downlink;Error analysis;Wireless communication;Multi-user MISO downlink;deep learning;robust beamforming;imperfect CSI;unsupervised learning},
  doi={10.1109/LCOMM.2021.3063707}}


@INPROCEEDINGS{paper:BS,
  author={Balatsoukas-Stimming, Alexios and Studer, Christoph},
  booktitle={IEEE International Workshop on Signal Processing Systems (SiPS)}, 
  title={Deep Unfolding for Communications Systems: A Survey and Some New Directions}, 
  year={2019},
  volume={},
  number={},
  pages={266-271},
  keywords={MIMO communication;Signal processing algorithms;Artificial neural networks;Precoding;Detectors;Task analysis;Machine learning;channel coding;massive MIMO;deep unfolding},
  doi={10.1109/SiPS47522.2019.9020494}}

@article{paper:Hershey,
  title={Deep Unfolding: Model-based Inspiration of Novel Deep Architectures},
  author={Hershey, John R and Roux, Jonathan Le and Weninger, Felix},
  journal={arXiv preprint arXiv:1409.2574},
  pages={1-27},
  year={2014}
}

@ARTICLE{paper:Hu,
  author={Hu, Qiyu and Cai, Yunlong and Shi, Qingjiang and Xu, Kaidi and Yu, Guanding and Ding, Zhi},
  journal={IEEE Transactions on Wireless Communications}, 
  title={Iterative Algorithm Induced Deep-Unfolding Neural Networks: Precoding Design for Multiuser MIMO Systems}, 
  year={2021},
  volume={20},
  number={2},
  pages={1394-1410},
  keywords={Iterative algorithms;Precoding;Artificial neural networks;Computational complexity;Optimization;Approximation algorithms;Deep-unfolding neural network;machine learning;multiuser MIMO;precoding design;weighted MMSE},
  doi={10.1109/TWC.2020.3033334}}


@ARTICLE{paper:Pellaco,
  author={Pellaco, Lissy and Bengtsson, Mats and Jaldén, Joakim},
  journal={IEEE Open Journal of the Communications Society}, 
  title={Matrix-Inverse-Free Deep Unfolding of the Weighted MMSE Beamforming Algorithm}, 
  year={2022},
  volume={3},
  number={},
  pages={65-81},
  keywords={Complexity theory;Array signal processing;Neural networks;Downlink;Approximation algorithms;Network architecture;Base stations;Deep unfolding;downlink beamforming;iterative optimization algorithm;weighted MMSE algorithm;neural network},
  doi={10.1109/OJCOMS.2021.3139858}}


@ARTICLE{over:He,
  author={He, Shiwen and Xiong, Shaowen and Ou, Yeyu and Zhang, Jian and Wang, Jiaheng and Huang, Yongming and Zhang, Yaoxue},
  journal={IEEE Open Journal of the Communications Society}, 
  title={An Overview on the Application of Graph Neural Networks in Wireless Networks}, 
  year={2021},
  volume={2},
  number={},
  pages={2547-2565},
  keywords={Wireless networks;Data models;Deep learning;Resource management;Network topology;Ions;Transceivers;Wireless networks;graph neural networks;resource management},
  doi={10.1109/OJCOMS.2021.3128637}}


@INPROCEEDINGS{paper:Chen,
  author={Chen, Tianrui and You, Minglei and Zheng, Gan and Lambotharan, Sangarapillai},
  booktitle={WSA 2021; 25th International ITG Workshop on Smart Antennas}, 
  title={Graph Neural Network based Beamforming in D2D Wireless Networks}, 
  year={2021},
  volume={},
  number={},
  pages={1-5},
  keywords={},
  doi={}}

@ARTICLE{paper:lyh,
  author={Li, Yuhang and Lu, Yang and Zhang, Ruichen and Ai, Bo and Zhong, Zhangdui},
  journal={IEEE Wireless Communications Letters}, 
  title={Deep Learning for Energy Efficient Beamforming in MU-MISO Networks: A GAT-Based Approach}, 
  year={2023},
  volume={12},
  number={7},
  pages={1264-1268},
  keywords={Array signal processing;Deep learning;Interference;Wireless networks;Real-time systems;Resource management;Optimization;EE;BSUM;GAT;deep learning},
  doi={10.1109/LWC.2023.3270361}}


@ARTICLE{paper:kJ,
  author={Kim, Junbeom and Lee, Hoon and Hong, Seung-Eun and Park, Seok-Hwan},
  journal={IEEE Transactions on Wireless Communications}, 
  title={A Bipartite Graph Neural Network Approach for Scalable Beamforming Optimization}, 
  year={2023},
  volume={22},
  number={1},
  pages={333-347},
  keywords={Array signal processing;Optimization;Antennas;Bipartite graph;Task analysis;Scalability;Training;Graph neural network;message-passing;deep learning;multi-user beamforming},
  doi={10.1109/TWC.2022.3193138}}


@ARTICLE{paper:Lee,
  author={Lee, Mengyuan and Yu, Guanding and Li, Geoffrey Ye},
  journal={IEEE Transactions on Wireless Communications}, 
  title={Graph Embedding-Based Wireless Link Scheduling With Few Training Samples}, 
  year={2021},
  volume={20},
  number={4},
  pages={2282-2294},
  keywords={Device-to-device communication;Wireless communication;Training;Interference;Layout;Scheduling;Optimization;Machine learning;device-to-device communications;graph embedding;link scheduling;combinatorial optimization;graph neural network},
  doi={10.1109/TWC.2020.3040983}}


@ARTICLE{paper:syf2023,
  author={Shen, Yifei and Zhang, Jun and Song, S. H. and Letaief, Khaled B.},
  journal={IEEE Transactions on Wireless Communications}, 
  title={Graph Neural Networks for Wireless Communications: From Theory to Practice}, 
  year={2023},
  volume={22},
  number={5},
  pages={3554-3569},
  keywords={Wireless networks;Optimization;Resource management;Computer architecture;Training;Antennas;Topology;Graph neural networks;wireless communication;message passing;provably approximately correct learning;deep learning},
  doi={10.1109/TWC.2022.3219840}}


@ARTICLE{paper:syf2021,
  author={Shen, Yifei and Shi, Yuanming and Zhang, Jun and Letaief, Khaled B.},
  journal={IEEE Journal on Selected Areas in Communications}, 
  title={Graph Neural Networks for Scalable Radio Resource Management: Architecture Design and Theoretical Analysis}, 
  year={2021},
  volume={39},
  number={1},
  pages={101-115},
  keywords={Wireless networks;Neural networks;Resource management;Optimization;Computer architecture;Array signal processing;Scalability;Radio resource management;wireless networks;graph neural networks;distributed algorithms;permutation equivariance},
  doi={10.1109/JSAC.2020.3036965}}

@ARTICLE{paper:Eisen,
  author={Eisen, Mark and Ribeiro, Alejandro},
  journal={IEEE Transactions on Signal Processing}, 
  title={Optimal Wireless Resource Allocation With Random Edge Graph Neural Networks}, 
  year={2020},
  volume={68},
  number={},
  pages={2977-2991},
  keywords={Resource management;Wireless communication;Neural networks;Receivers;Transmitters;Optimization;Fading channels;Power allocation;deep learning;graph neural networks;interference channel},
  doi={10.1109/TSP.2020.2988255}}

@ARTICLE{paepr:Chowdhury,
  author={Chowdhury, Arindam and Verma, Gunjan and Rao, Chirag and Swami, Ananthram and Segarra, Santiago},
  journal={IEEE Transactions on Wireless Communications}, 
  title={Unfolding WMMSE Using Graph Neural Networks for Efficient Power Allocation}, 
  year={2021},
  volume={20},
  number={9},
  pages={6004-6017},
  keywords={Resource management;Wireless networks;Interference;Computer architecture;Approximation algorithms;Transmitters;Receivers;WMMSE;power allocation;graph neural networks;deep learning;algorithm unfolding},
  doi={10.1109/TWC.2021.3071480}}

@ARTICLE{paper:He2022,
  author={He, Shiwen and Xiong, Shaowen and Zhang, Wei and Yang, Yiting and Ren, Ju and Huang, Yongming},
  journal={IEEE Transactions on Communications}, 
  title={GBLinks: GNN-Based Beam Selection and Link Activation for Ultra-Dense D2D mmWave Networks}, 
  year={2022},
  volume={70},
  number={5},
  pages={3451-3466},
  keywords={Millimeter wave communication;Device-to-device communication;Transmitters;Receivers;Array signal processing;Numerical models;Interference;Millimeter wave communication;graph neural networks;beam selection;link activation;interference channel},
  doi={10.1109/TCOMM.2022.3158646}}


@ARTICLE{paper:He2023,
  author={He, Shiwen and Yuan, Jun and An, Zhenyu and Huang, Wei and Huang, Yongming and Zhang, Yaoxue},
  journal={IEEE Transactions on Wireless Communications}, 
  title={Joint User Scheduling and Beamforming Design for Multiuser MISO Downlink Systems}, 
  year={2023},
  volume={22},
  number={5},
  pages={2975-2988},
  keywords={Optimization;Wireless communication;Downlink;MISO communication;Resource management;Signal to noise ratio;Multiuser channels;Cross-layer optimization;user scheduling;beamforming design;graph neural networks;non-convex optimization},
  doi={10.1109/TWC.2022.3215666}}



@INPROCEEDINGS{paper:zxc,
  author={Zhang, Xiaochen and Zhao, Haitao and Xiong, Jun and Liu, Xiaoran and Zhou, Li and Wei, Jibo},
  booktitle={IEEE Global Communications Conference (GLOBECOM)}, 
  title={Scalable Power Control/Beamforming in Heterogeneous Wireless Networks with Graph Neural Networks}, 
  year={2021},
  volume={},
  number={},
  pages={01-06},
  keywords={Performance evaluation;Wireless networks;Focusing;Interference;Machine learning;Graph neural networks;Device-to-device communication;Resource allocation;heterogeneity;graph neural networks;machine learning},
  doi={10.1109/GLOBECOM46510.2021.9685457}}

@INPROCEEDINGS{paper:gzq,
  author={Geng, Zhaoquan and She, Changyang and Zhang, Deyou and Li, Chunhui and Li, Yonghui and Vucetic, Branka},
  booktitle={IEEE Globecom Workshops (GC Wkshps)}, 
  title={Zero-Shot Recurrent Graph Neural Networks for Beam Prediction in Non-Terrestrial Networks}, 
  year={2022},
  volume={},
  number={},
  pages={1400-1405},
  keywords={Training;Satellite antennas;Satellites;Recurrent neural networks;Heuristic algorithms;Simulation;Directive antennas;Satellite communications;beam prediction;recurrent graph neural networks;meta-learning},
  doi={10.1109/GCWkshps56602.2022.10008701}}

@ARTICLE{paper:HeGB,
  author={He, Shiwen and Xiong, Shaowen and An, Zhenyu and Zhang, Wei and Huang, Yongming and Zhang, Yaoxue},
  journal={IEEE Transactions on Wireless Communications}, 
  title={An Unsupervised Deep Unrolling Framework for Constrained Optimization Problems in Wireless Networks}, 
  year={2022},
  volume={21},
  number={10},
  pages={8552-8564},
  keywords={Optimization;Ultra reliable low latency communication;Wireless networks;Resource management;Computational complexity;Quality of service;MIMO communication;Deep unrolling;graph neural networks;constrained optimization;wireless network},
  doi={10.1109/TWC.2022.3166964}}


@inproceedings{paper:MPNN,
author = {Gilmer, Justin and Schoenholz, Samuel S. and Riley, Patrick F. and Vinyals, Oriol and Dahl, George E.},
title = {Neural Message Passing for Quantum Chemistry},
year = {2017},
publisher = {JMLR.org},
booktitle = {Proceedings of the 34th International Conference on Machine Learning},
pages = {1263–1272},
numpages = {10},
location = {Sydney, NSW, Australia},
series = {ICML'17}
}

@inproceedings{paper:gcn,
  author       = {Thomas N. Kipf and
                  Max Welling},
  title        = {Semi-Supervised Classification with Graph Convolutional Networks},
  booktitle    = {Proceedings of the International Conference on Learning Representations},
    pages = {1–14},
  publisher    = {OpenReview.net},
  year         = {2017},
  timestamp    = {Thu, 25 Jul 2019 14:25:55 +0200},
  biburl       = {https://dblp.org/rec/conf/iclr/KipfW17.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
































































