20. 233 F. Zhou and R. Q. Hu. Computation efficiency maximization in wireless-powered mobile edge computing networks. IEEE Transactions on Wireless Communications, 19(5):3170-3184, 2020. doi: 10.1109/TWC.2020.2970920. 234 F. Zhou, N. C. Beaulieu, Z. Li, J. Si, and P. Qi. Energy-efficient optimal power allocation for fading cognitive radio channels: Ergodic capacity, outage capac- ity, and minimum-rate capacity. IEEE Transactions on Wireless Communications, 15(4):2741-2755, 2016. doi: 10.1109/TWC.2015.2509069. 235 S. Zhou, Y. Wu, Z. Ni, X. Zhou, H. Wen, and Y. Zou. DoReFa-Net: Training low bitwidth convolutional neural networks with low bitwidth gradients. arXiv preprint arXiv:1606.06160, 2016. 236 F. Zhou, Z. Li, J. Cheng, Q. Li, and J. Si. Robust AN-aided beamforming and power splitting design for secure MISO cognitive radio with SWIPT. IEEE Trans- actions on Wireless Communications, 16(4):2450-2464, 2017. 237 P. Zhou, W. Wei, K. Bian, D. O. Wu, Y. Hu, and Q. Wang. Private and truthful aggregative game for large-scale spectrum sharing. IEEE Journal on Selected Areas in Communications, 35(2):463-477, 2017. doi: 10.1109/JSAC.2017.2659099. 238 F. Zhou, N. C. Beaulieu, J. Cheng, Z. Chu, and Y. Wang. Robust max-min fairness resource allocation in sensing-based wideband cognitive radio with SWIPT: Imper- fect channel sensing. IEEE Systems Journal, 12(3):2361-2372, 2018. doi: 10.1109/ JSYST.2017.2698502. 239 Y. Zhou, F. Zhou, Y. Wu, R. Q. Hu, and Y. Wang. Subcarrier assignment schemes based on Q-learning in wideband cognitive radio networks. IEEE Transactions on Vehicular Technology, 69(1):1168-1172, 2020. Bibliography 240 H. Zhu, T. Song, J. Wu, X. Li, and J. Hu. Cooperative spectrum sensing algorithm based on support vector machine against SSDF attack. In 2018 IEEE International Conference on Communications Workshops (ICC Workshops), pages 1-6, 2018. 241 P. Zhu, J. Li, D. Wang, and X. You. Machine-learning-based opportunistic spectrum access in cognitive radio networks. IEEE Wireless Communications, 27(1):38-44, 2020