A Provably Efficient Online Collaborative Caching Algorithm for Multicell-Coordinated Systems

Ammar Gharaibeh, Abdallah Khreishah, Bo Ji, Moussa Ayyash

Research output: Contribution to journalArticlepeer-review

104 Scopus citations


Caching at the base stations brings the contents closer to the users, reduces the traffic through the backhaul links, and reduces the delay experienced by the cellular users. The cellular network operator may charge the content providers for caching their contents. Moreover, content providers may lose their users if the users are not getting their desired quality of service, such as maximum tolerable delay in Video on Demand services. In this paper, we study the collaborative caching problem for a multicell-coordinated system from the point of view of minimizing the total cost paid by the content providers. We formulate the problem as an Integer Linear Program and prove its NP-completeness. We also provide an online caching algorithm that does not require any knowledge about the contents popularities. We prove that the online algorithm achieves a competitive ratio of O(log (n)), and we show that the best competitive ratio that any online algorithm can achieve is Ω(log (n)log log (n)). Therefore, our proposed caching algorithm is provably efficient. Through simulations, we show that our online algorithm performs very close to the optimal offline collaborative scheme, and can outperform it when contents popularities are not properly estimated.

Original languageEnglish (US)
Article number7277095
Pages (from-to)1863-1876
Number of pages14
JournalIEEE Transactions on Mobile Computing
Issue number8
StatePublished - Aug 1 2016

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Networks and Communications
  • Electrical and Electronic Engineering


  • Multicell-coordinated systems
  • cellular networks
  • collaborative caching
  • competitive ratio
  • online algorithm


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