Proactive Edge Caching Strategy Based on Mobility Prediction in Dense Small Cell Networks

Content caching on the edge of dense networks is an emerging and critical technology to support the thirst for content of mobile users. However, the user mobility imposes additional difficulties on caching design because a moving user may not be able to obtain a whole file from a single small base station (SBS). In this paper, we consider the content caching problem in a dense small cell networks. We proposed a proactive mobility-aware (PMA) caching strategy combined with users mobility prediction. In this strategy, we first predict future locations of mobile users, then optimally cache content at SBSs where mobile users are most likely to access in the future. We evaluate efficacy through simulation and compare our strategy against a commonly used cache strategy. Simulation results of our caching strategy show a considerable improvement on the users cache hit ratio.

[1]  Sujit Dey,et al.  Video-Aware Scheduling and Caching in the Radio Access Network , 2014, IEEE/ACM Transactions on Networking.

[2]  Marc-Olivier Killijian,et al.  Next place prediction using mobility Markov chains , 2012, MPM '12.

[3]  Paolo Giaccone,et al.  Mobility-aware edge caching for connected cars , 2016, 2016 12th Annual Conference on Wireless On-demand Network Systems and Services (WONS).

[4]  Alexandros G. Dimakis,et al.  Femtocaching and device-to-device collaboration: A new architecture for wireless video distribution , 2012, IEEE Communications Magazine.

[5]  Valerio Bioglio,et al.  On Energy-Efficient Edge Caching in Heterogeneous Networks , 2016, IEEE Journal on Selected Areas in Communications.

[6]  Walid Saad,et al.  Mean-Field Games for Distributed Caching in Ultra-Dense Small Cell Networks , 2016, 2016 American Control Conference (ACC).

[7]  Amr M. Youssef,et al.  Ultra-Dense Networks: A Survey , 2016, IEEE Communications Surveys & Tutorials.

[8]  Robert W. Heath,et al.  Five disruptive technology directions for 5G , 2013, IEEE Communications Magazine.

[9]  Mehdi Bennis,et al.  Living on the edge: The role of proactive caching in 5G wireless networks , 2014, IEEE Communications Magazine.

[10]  Injong Rhee,et al.  CRAWDAD dataset ncsu/mobilitymodels (v.2009-07-23) , 2009 .

[11]  AliAkbar Tadaion,et al.  A clustered caching placement in heterogeneous small cell networks with user mobility , 2015, 2015 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT).

[12]  Khaled Ben Letaief,et al.  Mobility-aware caching for content-centric wireless networks: modeling and methodology , 2016, IEEE Communications Magazine.

[13]  Bartlomiej Blaszczyszyn,et al.  Optimal geographic caching in cellular networks , 2014, 2015 IEEE International Conference on Communications (ICC).