Direção de pesquisa : Guy PUJOLLE

Co-supervisão£o : SECCI Stefano

Resource and crowd management in mobile networks

The dissertation presents different solutions to cater the increasing demand of mobile data traffic in access and backhauling networks, taking into account real usage profiling and human mobility patterns.
Using real mobile phone data, we study human trajectories and behaviors. We show that these trajectories can be estimated at good accuracy levels, using specific mobility metrics, namely the radius of gyration and the centroid. Then, motivated by the fact that crowded spot positions change as a function of time and the occurrence of special events in real networks, we propose two crowded spot estimators based on these user mobility metrics. From an empirical evaluation, we show that they appear as excellent crowd detection solutions for cellular backhauling network management. Crowded spot detection can also be of high utility in the optimization of the access network under the resulting resource contention situations.
Our interests move in the second part of the dissertation into finding good offloading solutions to adequately solve resource contention situations around crowded spots. In particular we study two offloading approaches: trac offloading and content offloading. In the former one, we present two solutions: horizontal offloading over small-cell networks and vertical offloading over Wi-Fi certified Passpoint hotspots. We study benefits and limitations of each solution. We propose a new algorithm based on cooperative game theory for resource allocation and interference management in small-cell networks. The results are very impressive and emphasize the necessity of referring to cooperative game theory concepts in the definition of spectrum contention situations. Furthermore, we show the benefits of using the newly released WiFi Passpoint solution in increasing spectrum capacity gain and decreasing user energy consumption.

Publicações 2012-2024

• 2024
  • H. Hojeij, G. Iecker, M. Sharara, S. Hoteit, V. Vèque, S. Secci : “Flexible Association and Placement for Open-RAN”, IEEE INFOCOM 2024 NG-OPERA: Next-generation Open and Programmable Radio Access Networks, Vancouver (Canada), Canada (2024)
• 2023
  • M. Sharara, F. Fossati, S. Hoteit, V. Vèque, F. Bassi : “Minimizing energy consumption by joint radio and computing resource allocation in Cloud-RAN”, Computer Networks, vol. 234, pp. 109870, (Elsevier) (2023)
• 2018
  • F. Fossati, S. Hoteit, S. Moretti, S. Secci : “Fair Resource Allocation in Systems with Complete Information Sharing”, IEEE/ACM Transactions on Networking, vol. 26 (6), pp. 2801-2814, (IEEE/ACM) (2018)
• 2017
  • S. Hoteit, S. Secci, M. Premoli : “Crowded spot estimator for urban cellular networks”, Annals of Telecommunications - annales des télécommunications, vol. 72 (11-12), pp. 743-754, (Springer) (2017)
• 2016
  • S. Hoteit, M. El Chamie, D. Saucez, S. Secci : “On Fair Network Cache Allocation to Content Providers”, Computer Networks, vol. 103, pp. 129-142, (Elsevier) (2016)
• 2015
  • S. Hoteit, S. Secci, G. Pujolle, A. Wolisz, C. Ziemlicki, Z. Smoreda : “Mobile Data Traffic Offloading over Passpoint Hotspots”, Computer Networks, vol. 84, pp. 76-93, (Elsevier) (2015)
• 2014
  • S. Hoteit : “Resource and crowd management in mobile networks”, tese, defesas 19/09/2014, direção de pesquisa Pujolle, Guy, co-supervisão£o : Secci, Stefano (2014)
  • S. Hoteit, S. Secci, G. Pujolle, S. Wietholter, A. Wolisz, C. Ziemlicki, Z. Smoreda : “Quantifying the Achievable Cellular Traffic Offloading Gain with Passpoint Hotspots”, WiMobCity'14 - ACM international workshop on Wireless and mobile technologies for smart cities, Philadelphia, United States, pp. 19-28, (ACM) (2014)
  • S. Hoteit, S. Secci, S. Sobolevsky, C. Ratti, G. Pujolle : “Estimating human trajectories and hotspots through mobile phone data”, Computer Networks, vol. 64, pp. 296-307, (Elsevier) (2014)
  • S. Hoteit, S. Secci, G. Pujolle, V. Hoa La, C. Ziemlicki, Z. Smoreda : “Mobility-aware estimation of content consumption hotspots for urban cellular networks”, IEEE/IFIP Network Operations and Management Symposium (NOMS 2014), Krakow, Poland, pp. 1-7, (IEEE) (2014)
• 2013
  • S. Hoteit, S. Secci, R. Langar, G. Pujolle : “A Nucleolus-based Approach for Resource Allocation in OFDMA Wireless Mesh Networks”, IEEE Transactions on Mobile Computing, vol. 12 (11), pp. 2145-2154, (Institute of Electrical and Electronics Engineers) (2013)
  • S. Hoteit, S. Secci, S. Sobolevsky, G. Pujolle, C. Ratti : “Do Mobile Phone Data Allow Estimating Real Human Trajectory?”, Conference on the Analysis of Mobile Phone Datasets (NetMob), Cambridge, United States, pp. 36-37 (2013)
  • S. Hoteit, S. Secci, S. Sobolevsky, G. Pujolle, C. Ratti : “Estimating Real Human Trajectories through Mobile Phone Data”, MDM 2013 - 14^th IEEE International Conference on Mobile Data Management, Milan, Italy, pp. 148-153, (IEEE) (2013)
• 2012
  • S. Hoteit, S. Secci, G. Pujolle, Zh. He, C. Ziemlicki, Z. Smoreda, C. Ratti : “Content consumption cartography of the paris urban region using cellular probe data”, URBANE 2012, Nice, France (2012)
  • S. Hoteit, S. Secci, R. Langar, G. Pujolle, R. Boutaba : “A bankruptcy game approach for resource allocation in cooperative femtocell networks”, IEEE Global Communications Conference (IEEE GLOBECOM), Anaheim, United States (2012)
  • S. Hoteit, S. Secci, R. Langar, G. Pujolle : “Strategic subchannel resource allocation for cooperative OFDMA Wireless Mesh Networks”, IEEE International Conference on Communications (ICC 2012), Ottawa, Canada, pp. 440-444, (IEEE) (2012)