 PhD thesis, Virginia Tech, 2017. Bibliography 188 N. Van Huynh, D. T. Hoang, X. Lu, D. Niyato, P. Wang, and D. I. Kim. Ambi- ent backscatter communications: A contemporary survey. IEEE Communications Surveys & Tutorials, 20(4):2889-2922, 2018. 189 N. Van Huynh, D. T. Hoang, D. N. Nguyen, E. Dutkiewicz, D. Niyato, and P. Wang. Optimal and low-complexity dynamic spectrum access for RF-powered ambient backscatter system with online reinforcement learning. IEEE Transactions on Communications, 67(8):5736-5752, 2019. 190 N. Van Huynh, D. N. Nguyen, D. T. Hoang, and E. Dutkiewicz. Jam me if you can: Defeating jammer with deep dueling neural network architecture and ambi- ent backscattering augmented communications. IEEE Journal on Selected Areas in Communications, 37(11):2603-2620, 2019. 191 N. Van Huynh, D. N. Nguyen, D. Thai Hoang, E. Dutkiewicz, and M. Mueck. Ambient backscatter: A novel method to defend jamming attacks for wireless networks. IEEE Wireless Communications Letters, 9(2):175-178, 2020. 192 S. Vimal, M. Khari, R. G. Crespo, L. Kalaivani, N. Dey, and M. Kaliappan. Energy enhancement using multiobjective ant colony optimization with double Q learning algorithm for IoT based cognitive radio networks. Computer Communications, 154:481-490, 2020. 193 B. Wang, Y. Wu, K. J. R. Liu, and T. C. Clancy. An anti-jamming stochastic game for cognitive radio networks. IEEE Journal on Selected Areas in Communications, 29(4):877-889, 2011. doi: 10.1109/JSAC.2011.110418. 194 K.-Y. Wang, A. M.-C. So, T.-H. Chang, W.-K. Ma, and C.-Y. Chi. Outage con- strained robust transmit optimization for multiuser MISO downlinks: Tractable approximations by conic optimization. IEEE Transactions on Signal Processing, 62(21):5690-5705, 2014. doi: 10.1109/TSP.2014.2354312. 195 Q. Wang, H. Sun, R. Q. Hu, and A. Bhuyan. When machine learning meets spectrum sharing security: methodologies and challenges. IEEE Open Journal of the Communications Society, 3:176-208, 2022. doi: 10.1109/ OJCOMS.2022.3146364. 196 Q. Wang, K. Ren, P. Ning, and S. Hu