Spatiotemporal mobility prediction in proactive self-organizing cellular networks

IEEE Communications Letters

Volumn 21, Issue 2, 2017, Pages 370-373

  Farooq, Hasan ^a   Imran, Ali ^a  

^a University of Oklahoma   (United States)

Author keywords

5G; Mobility prediction; Selforganizing networks (SON); Semi Markov

Indexed keywords

FORECASTING; MARKOV PROCESSES; MOBILE TELECOMMUNICATION SYSTEMS; WIRELESS NETWORKS;

EFFICIENT MANAGEMENTS; EXPERIMENTAL EVALUATION; FUTURE CELLULAR NETWORKS; MOBILITY PREDICTIONS; SELF-ORGANIZING NETWORK; SEMI-MARKOV; SMART-PHONE APPLICATIONS; USER TRAFFIC DISTRIBUTION;

COMPLEX NETWORKS;

EID: 85015179156     PISSN: 10897798     EISSN: None     Source Type: Journal    
DOI: 10.1109/LCOMM.2016.2623276     Document Type: Article

References (9)

1. A. Imran, A. Zoha, and A. Abu-Dayya, "Challenges in 5G: How to empower SON with big data for enabling 5G," IEEE Netw., vol. 28, no. 6, pp. 27-33, Nov. 2014.
2. K. Dufková, J.-Y. L. Boudec, L. Kencl, and M. Bjelica, Predicting User-Cell Association in Cellular Networks From Tracked Data. Heidelberg, Germany: Springer, 2009, pp. 19-33.
3. C. Song, Z. Qu, N. Blumm, and A.-L. Barabási, "Limits of predictability in human mobility," Science, vol. 327, no. 5968, pp. 1018-1021, 2010.
4. A. Mohamed, O. Onireti, S. A. Hoseinitabatabaei, M. Imran, A. Imran, and R. Tafazolli, "Mobility prediction for handover management in cellular networks with control/data separation," in Proc. IEEE Int. Conf. Commun. (ICC), Jun. 2015, pp. 3939-3944.
5. X. Zhou, Z. Zhao, R. Li, Y. Zhou, J. Palicot, and H. Zhang, "Human mobility patterns in cellular networks," IEEE Commun. Lett., vol. 17, no. 10, pp. 1877-1880, Oct. 2013.
6. H. Abu-Ghazaleh and A. S. Alfa, "Application of mobility prediction in wireless networks using Markov renewal theory," IEEE Trans. Veh. Technol., vol. 59, no. 2, pp. 788-802, Feb. 2010.
7. J.-K. Lee and J. C. Hou, "Modeling steady-state and transient behaviors of user mobility: Formulation, analysis, and application," in Proc. 7th ACM Int. Symp. Mobile Ad Hoc Netw. Comput. (MobiHoc), New York, NY, USA, 2006, pp. 85-96.
8. G. Corradi, J. Janssen, and R. Manca, "Numerical treatment of homogeneous semi-Markov processes in transient case-A straightforward approach," Methodol. Comput. Appl. Probab., vol. 6, no. 2, pp. 233-246, 2004.
9. J. Janssen and R. Manca, Semi-Markov Risk Models for Finance, Insurance and Reliability. New York, NY, USA: Springer, 2007.