Sequence-to-sequence learning for link-scheduling in D2D communication networks

Journal of Network and Computer Applications - Tập 212 - Trang 103567 - 2023
Ahmed Elsheikh1, Ahmed S. Ibrahim2, Mahmoud H. Ismail3,4
1Cairo University, Mathematics and Engineering Physics Dept., Cairo University, Giza, 12613, Egypt
2Florida International University, Electrical and Computer Engineering, Dept., Miami, 33174, FL, USA
3American University of Sharjah, Electrical Engineering Dept., Sharjah, 26666, United Arab Emirates
4Cairo University, Electronics and Communications Engineering Dept., Giza, 12613, Egypt

Tài liệu tham khảo

Ba, 2014, Do deep nets really need to be deep?, Adv. Neural Inf. Process. Syst., 27, 2654 Chen, 2019, Artificial neural networks-based machine learning for wireless networks: a tutorial, IEEE Communications Surveys & Tutorials, 21, 3039, 10.1109/COMST.2019.2926625 Cui, 2020, A clustering approach to wireless scheduling, 1 Cui, 2019, Spatial deep learning for wireless scheduling, IEEE J. Sel. Area. Commun., 37, 1248, 10.1109/JSAC.2019.2904352 De Boer, 2005, A tutorial on the cross-entropy method, Ann. Oper. Res., 134, 19, 10.1007/s10479-005-5724-z Friedman, 2009, The elements of statistical learning Goodfellow, 2016, 1 Haykin, 2010 Hochreiter, 1997, Long short-term memory, Neural Comput., 9, 1735, 10.1162/neco.1997.9.8.1735 Jourdan, 2005, 314 Jozefowicz, 2015, An empirical exploration of recurrent network architectures, 2342 Lee, 2020, Graph embedding-based wireless link scheduling with few training samples, IEEE Trans. Wireless Commun., 20, 2282, 10.1109/TWC.2020.3040983 Liu, 2021, A V2X-integrated positioning methodology in ultradense networks, IEEE Internet Things J., 8, 17014, 10.1109/JIOT.2021.3075532 Luo, 2020 Prabhavalkar, 2017, 939 Recommendation, 2009 Salarian, 2015, Accurate localization in dense urban area using Google street view images, SAI Intelligent Systems Conference (IntelliSys), 485, 10.1109/IntelliSys.2015.7361184 Shen, 2020 Shen, 2017, FPLinQ: a cooperative spectrum sharing strategy for device-to-device communications, 2323 Shen, 2020, Graph neural networks for scalable radio resource management: architecture design and theoretical analysis, IEEE J. Sel. Area. Commun., 39, 101, 10.1109/JSAC.2020.3036965 Soldani, 2014, 5G networks: end-to-end architecture and infrastructure [guest editorial], IEEE Commun. Mag., 52, 62, 10.1109/MCOM.2014.6957144 Ye, 2019, Deep reinforcement learning based resource allocation for V2V communications, IEEE Trans. Veh. Technol., 68, 3163, 10.1109/TVT.2019.2897134 Yu, 2021, Deep regression for LiDAR-based localization in dense urban areas, ISPRS J. Photogrammetry Remote Sens., 172, 240, 10.1016/j.isprsjprs.2020.12.013