. Convex Optimization. Number pt. 1 in Berichte über verteilte messysteme. Cambridge University Press, 2004. ISBN 9780521833783. URL https://books.google.com/books?id=mYm0bLd3fcoC 26 F. Cai, Y. Gao, L. Cheng, L. Sang, and D. Yang. Spectrum sharing for LTE and WiFi coexistence using decision tree and game theory. In 2016 IEEE Wireless Communications and Networking Conference, pages 1-6, 2016. 27 Y. Cai, K. Shi, F. Song, Y. Xu, X. Wang, and H. Luan. Jamming pattern recog- nition using spectrum waterfall: A deep learning method. In 2019 IEEE 5th International Conference on Computer and Communications (ICCC), pages 2113-2117, 2019. 28 U. Challita, L. Dong, and W. Saad. Proactive resource management for LTE in unlicensed spectrum: A deep learning perspective. IEEE Transactions on Wireless Communications, 17(7):4674-4689, 2018. 29 X. Chen and J. Huang. Database-assisted distributed spectrum sharing. IEEE Jour- nal on Selected Areas in Communications, 31(11):2349-2361, 2013. 30 X. Chen, D. W. K. Ng, W. H. Gerstacker, and H.-H. Chen. A survey on multiple-antenna techniques for physical layer security. IEEE Communications Surveys & Tutorials, 19(2):1027-1053, 2017. doi: 10.1109/COMST.2016.2633387. 31 M. Chen, W. Saad, and C. Yin. Echo state networks for self-organizing resource allocation in LTE-U with uplink-downlink decoupling. IEEE Transactions on Wireless Communications, 16(1):3-16, 2017. 32 M. Chen, W. Saad, and C. Yin. Liquid state machine learning for resource allo- cation in a network of cache-enabled LTE-U UAVs. In GLOBECOM 2017 - 2017 IEEE Global Communications Conference, pages 1-6, 2017. 33 M. Chen, W. Saad, and C. Yin. Liquid state machine learning for resource and cache management in LTE-U unmanned aerial vehicle (UAV) networks. IEEE Transactions on Wireless Communications, 18(3):1504-1517, 2019. 34 Cisco. Cisco visual networking index: Global mobile data traffic forecast update, 2016-2021 white paper. 2017. 35 T. C. Clancy, A. Khawar, and T. R. Newman. Robust signal classification using unsupervised learnin