A survey of mobile cloud computing application models. IEEE Communications Surveys & Tutorials, 16(1):393-413, 2013. 143 G. Pan, H. Lei, Y. Deng, L. Fan, J. Yang, Y. Chen, and Z. Ding. On secrecy perfor- mance of MISO Swipt systems with TAS and imperfect CSI. IEEE Transactions on Communications, 64(9):3831-3843, 2016. doi: 10.1109/TCOMM.2016.2573822 144 C. B. Papadias, T. Ratnarajah, and D. T. M. Slock. Introduction: From cogni- tive radio to modern spectrum sharing. Spectrum Sharing: The Next Frontier in Wireless Networks, pages 1-15, 2020. 145 J. Park, J. H. Reed, A. A. Beex, T. C. Clancy, V. Kumar, and B. Bahrak. Security and enforcement in spectrum sharing. Proceedings of the IEEE, 102(3):270-281, 2014. 146 I. Parvez, M. G. S. Sriyananda, i. Güvenç, M. Bennis, and A. Sarwat. CBRS spec- trum sharing between LTE-U and WiFi: A multiarmed bandit approach. Mobile Information Systems, 2016:5909801, 2016. 147 K. Pathak and A. Banerjee. Harvest-or-transmit policy for cognitive radio net- works: A learning theoretic approach. IEEE Transactions on Green Communica- tions and Networking, 3(4):997-1011, 2019. 148 Q. Peng, A. Gilman, N. Vasconcelos, P. C. Cosman, and L. B. Milstein. Robust deep sensing through transfer learning in cognitive radio. IEEE Wireless Commu- nications Letters, 9(1):38-41, 2020. Bibliography 149 L. P. Qian, Y. J. Zhang, and J. Huang. MAPEL: Achieving global optimality for a non-convex wireless power control problem. IEEE Transactions on Wireless Communications, 8(3):1553-1563, 2009. doi: 10.1109/TWC.2009.080649. 150 Z. Qin, X. Tao, J. Lu, W. Tong, and G. Y. Li. Semantic communications: Principles and challenges, 2022. URL https://arxiv.org/abs/2201.01389. 151 A. Rahmati and H. Dai. Reinforcement learning for interference avoidance game in RF-powered backscatter communications. In ICC 2019 - 2019 IEEE Interna- tional Conference on Communications (ICC), pages 1-6, 2019. 152 V. Raj, I. Dias, T. Tholeti, and S. Kalyani. Spectrum access in cognitive radio using a two-stage reinforcement learning approa