May 20, 2019

Anticipatory Resource Allocation and Trading in a Sliced Network

  • Akgul O.
  • Capone A.
  • Malanchini I.

Dynamically sharing the network resources in a sliced multi-tenant network can provide cost efficient solutions that are able to guarantee specific service requirements for 5G and beyond networks. By automatizing the negotiations between tenants and infrastructure providers over the shared resources, it is possible to maximize the flexibility of the network and stakeholders can negotiate on a very short time scale, thus maximizing also the efficiency of the sharing. However, negotiating resources in a reactive manner can bring high risks to the tenants and also limit the gain in terms of spectral efficiency for the infrastructure provider. Therefore, in this paper we focus on how to exploit the anticipatory information of the users' future channel states to improve the efficiency of the proposed dynamic network slicing and trading framework. In particular, we analyze how to integrate a well-known prediction algorithm into our system and analyze the techno-economic impacts of the negotiations, when the tenants exploit such anticipatory information. Finally, we develop a novel filter in order to limit the impacts of prediction errors, while exploiting the predicted information. Our results prove that using anticipatory information in dynamic negotiations and resource allocation increases the tenants' utilities, while allowing the infrastructure provider to accommodate more tenants.

Recent Publications

January 01, 2019

Friendly, appealing or both? Characterising user experience in sponsored search landing pages

  • Bron M.
  • Chute M.
  • Evans H.
  • Lalmas M.
  • Redi M.
  • Silvestri F.

© 2017 International World Wide Web Conference Committee (IW3C2), published under Creative Commons CC BY 4.0 License. Many of today's websites have recognised the importance of mobile friendly pages to keep users engaged and to provide a satisfying user experience. However, next to the experience provided by the sites themselves, ...

January 01, 2019

Analyzing uber's ride-sharing economy

  • Aiello L.
  • Djuric N.
  • Grbovic M.
  • Kooti F.
  • Lerman K.
  • Radosavljevic V.

© 2017 International World Wide Web Conference Committee (IW3C2), published under Creative Commons CC BY 4.0 License. Uber is a popular ride-sharing application that matches people who need a ride (or riders) with drivers who are willing to provide it using their personal vehicles. Despite its growing popularity, there exist ...

January 01, 2019

The paradigm-shift of social spambots: Evidence, theories, and tools for the arms race

  • Cresci S.
  • Petrocchi M.
  • Pietro R.
  • Spognardi A.
  • Tesconi M.

© 2017 International World Wide Web Conference Committee (IW3C2), published under Creative Commons CC BY 4.0 License. Recent studies in social media spam and automation provide anecdotal argumentation of the rise of a new generation of spambots, so-called social spambots. Here, for the first time, we extensively study this novel ...