|| K. Zheng, Z. Yang, K. Zhang, P. Chatzimisios, K. Yang, and W. Xiang, “Big data-driven|
optimization for mobile networks toward 5g,” IEEE network, vol. 30, no. 1, pp. 44–51, 2016.
 G. M. D. T. Forecast, “Cisco visual networking index: global mobile data traffic forecast
update, 2017–2022,” Update, vol. 2017, p. 2022, 2019.
 M. Shafi, A. F. Molisch, P. J. Smith, T. Haustein, P. Zhu, P. De Silva, F. Tufvesson,
A. Benjebbour, and G. Wunder, “5g: A tutorial overview of standards, trials, challenges,
deployment, and practice,” IEEE journal on selected areas in communications, vol. 35,
no. 6, pp. 1201–1221, 2017.
 M. Sivakumaran and P. Iacopino, “The mobile economy 2018,” GSMA Intelligence, 2018.
 S. P. Singh and D. P. Bertsekas, “Reinforcement learning for dynamic channel allocation in
cellular telephone systems,” in Advances in neural information processing systems, pp. 974–
 J. Nie and S. Haykin, “A q-learning-based dynamic channel assignment technique for mobile communication systems,” IEEE Transactions on Vehicular Technology, vol. 48, no. 5,
pp. 1676–1687, 1999.
 N. Lilith and K. Dogancay, “Distributed reduced-state sarsa algorithm for dynamic channel
allocation in cellular networks featuring traffic mobility,” in IEEE International Conference
on Communications, 2005. ICC 2005. 2005, vol. 2, pp. 860–865, IEEE, 2005.
 G. Barlacchi, M. De Nadai, R. Larcher, A. Casella, C. Chitic, G. Torrisi, F. Antonelli,
A. Vespignani, A. Pentland, and B. Lepri, “A multi-source dataset of urban life in the city
of milan and the province of trentino,” Scientific data, vol. 2, no. 1, pp. 1–15, 2015.
 C.-W. Huang, C.-T. Chiang, and Q. Li, “A study of deep learning networks on mobile traffic
forecasting,” in 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and
Mobile Radio Communications (PIMRC), pp. 1–6, IEEE, 2017.
 C. Zhang and P. Patras, “Long-term mobile traffic forecasting using deep spatio-temporal
neural networks,” in Proceedings of the Eighteenth ACM International Symposium on Mobile
Ad Hoc Networking and Computing, pp. 231–240, 2018.
 G. K. Audhya, K. Sinha, S. C. Ghosh, and B. P. Sinha, “A survey on the channel assignment
problem in wireless networks,” Wireless Communications and Mobile Computing, vol. 11,
no. 5, pp. 583–609, 2011
 S.-H. Oh and D.-W. Tcha, “Prioritized channel assignment in a cellular radio network,”
IEEE transactions on communications, vol. 40, no. 7, pp. 1259–1269, 1992.
 R. Beck and H. Panzer, “Strategies for handover and dynamic channel allocation in microcellular mobile radio systems,” in IEEE 39th Vehicular Technology Conference, pp. 178–185,
 M. Zhang and T.-S. Yum, “Comparisons of channel-assignment strategies in cellular mobile
telephone systems,” IEEE Transactions on Vehicular Technology, vol. 38, no. 4, pp. 211–
 D. Naboulsi, M. Fiore, S. Ribot, and R. Stanica, “Large-scale mobile traffic analysis: a
survey,” IEEE Communications Surveys & Tutorials, vol. 18, no. 1, pp. 124–161, 2015.
 F. Xu, Y. Lin, J. Huang, D. Wu, H. Shi, J. Song, and Y. Li, “Big data driven mobile traffic
understanding and forecasting: A time series approach,” IEEE transactions on services
computing, vol. 9, no. 5, pp. 796–805, 2016.
 H. Assem, B. Caglayan, T. S. Buda, and D. O’Sullivan, “St-dennetfus: A new deep learning approach for network demand prediction,” in Joint European Conference on Machine
Learning and Knowledge Discovery in Databases, pp. 222–237, Springer, 2018.
 H. D. Trinh, L. Giupponi, and P. Dini, “Mobile traffic prediction from raw data using lstm
networks,” in 2018 IEEE 29th Annual International Symposium on Personal, Indoor and
Mobile Radio Communications (PIMRC), pp. 1827–1832, IEEE, 2018.
 J. Hamilton, “Time series analysis. vol. 2 princeton university press,” Princeton, NJ, 1994.
 C. Zhang, H. Zhang, D. Yuan, and M. Zhang, “Citywide cellular traffic prediction based on
densely connected convolutional neural networks,” IEEE Communications Letters, vol. 22,
no. 8, pp. 1656–1659, 2018.
 G. Huang, Z. Liu, L. Van Der Maaten, and K. Q. Weinberger, “Densely connected convolutional networks,” in Proceedings of the IEEE conference on computer vision and pattern
recognition, pp. 4700–4708, 2017.
 D. Zhang, B. Guo, and Z. Yu, “The emergence of social and community intelligence,”
Computer, vol. 44, no. 7, pp. 21–28, 2011.
 L. Wang, D. Zhang, Y. Wang, C. Chen, X. Han, and A. M’hamed, “Sparse mobile crowdsensing: challenges and opportunities,” IEEE Communications Magazine, vol. 54, no. 7,
pp. 161–167, 2016.
 C. Chen, D. Zhang, N. Li, and Z.-H. Zhou, “B-planner: Planning bidirectional night bus
routes using large-scale taxi gps traces,” IEEE Transactions on Intelligent Transportation
Systems, vol. 15, no. 4, pp. 1451–1465, 2014.
 A. Furno, D. Naboulsi, R. Stanica, and M. Fiore, “Mobile demand profiling for cellular
cognitive networking,” IEEE Transactions on Mobile Computing, vol. 16, no. 3, pp. 772–
 B. Cici, M. Gjoka, A. Markopoulou, and C. T. Butts, “On the decomposition of cell phone
activity patterns and their connection with urban ecology,” in Proceedings of the 16th ACM
International Symposium on Mobile Ad Hoc Networking and Computing, pp. 317–326, 2015.
 L. Chen, J. Jakubowicz, D. Yang, D. Zhang, and G. Pan, “Fine-grained urban event detection and characterization based on tensor cofactorization,” IEEE Transactions on HumanMachine Systems, vol. 47, no. 3, pp. 380–391, 2016.
 V. Mnih, K. Kavukcuoglu, D. Silver, A. Graves, I. Antonoglou, D. Wierstra, and M. Riedmiller, “Playing atari with deep reinforcement learning,” arXiv preprint arXiv:1312.5602,
 T. P. Lillicrap, J. J. Hunt, A. Pritzel, N. Heess, T. Erez, Y. Tassa, D. Silver, and D. Wierstra,
“Continuous control with deep reinforcement learning,” arXiv preprint arXiv:1509.02971,
 V. Mnih, A. P. Badia, M. Mirza, A. Graves, T. Lillicrap, T. Harley, D. Silver, and
K. Kavukcuoglu, “Asynchronous methods for deep reinforcement learning,” in International conference on machine learning, pp. 1928–1937, 2016.
 J. Schulman, F. Wolski, P. Dhariwal, A. Radford, and O. Klimov, “Proximal policy optimization algorithms,” arXiv preprint arXiv:1707.06347, 2017.
 CellMapper, “Cellular tower and signal map.”