Subject: 5G | 5G; Anticipatory; mobile networks; optimization; prediction; Electrical and Electronic Engineering | Optimization | Anticipatory | Prediction | Mobile Networks | Computer Science - Networking and Internet Architecture | 90B18, 62M20
A growing trend for information technology is to not just react to changes, but anticipate them as much as possible. This paradigm made modern solutions, such as recommendation systems, a ubiquitous presence in today’s digital transactions. Anticipatory networking exten... View more
 C. Song, Z. Qu, N. Blumm, and A.-L. Baraba´si, “Limits of predictability in human mobility,” Science, vol. 327, no. 5968, pp. 1018-1021, 2010.
 X. Lu, E. Wetter, N. Bharti, A. J. Tatem, and L. Bengtsson, “Approaching the limit of predictability in human mobility,” Scientific reports, vol. 3, 2013.
 Y. Jiang, D. C. Dhanapala, and A. P. Jayasumana, “Tracking and prediction of mobility without physical distance measurements in sensor networks,” in Communications (ICC), 2013 IEEE International Conference on. IEEE, 2013, pp. 1845-1850.
 L. Ghouti, T. R. Sheltami, and K. S. Alutaibi, “Mobility prediction in mobile ad hoc networks using extreme learning machines,” Procedia Computer Science, vol. 19, pp. 305-312, 2013.
 X. Chen, F. Me´riaux, and S. Valentin, “Predicting a user's next cell with supervised learning based on channel states,” in Signal Processing Advances in Wireless Communications (SPAWC), 2013 IEEE 14th Workshop on, June 2013, pp. 36-40.
 H. Xiong, D. Zhang, D. Zhang, V. Gauthier, K. Yang, and M. Becker, “MPaaS: Mobility prediction as a service in telecom cloud,” Information Systems Frontiers, vol. 16, no. 1, pp. 59-75, 2014.
 J.-K. Lee and J. C. Hou, “Modeling steady-state and transient behaviors of user mobility: formulation, analysis, and application,” in Proceedings of the 7th ACM international symposium on Mobile ad hoc networking and computing. ACM, 2006, pp. 85-96.
 H. Abu-Ghazaleh and A. S. Alfa, “Application of mobility prediction in wireless networks using Markov renewal theory,” Vehicular Technology, IEEE Transactions on, vol. 59, no. 2, pp. 788-802, 2010.
 D. Barth, S. Bellahsene, and L. Kloul, “Mobility prediction using mobile user profiles,” in Modeling, Analysis & Simulation of Computer and Telecommunication Systems (MASCOTS), 2011 IEEE 19th International Symposium on. IEEE, 2011, pp. 286-294.
 --, “Combining local and global profiles for mobility prediction in LTE femtocells,” in Proceedings of the 15th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems. ACM, 2012, pp. 333-342.