Optimal Caching in 5G Networks With Opportunistic Spectrum Access

Mostafa Emara, Hesham Elsawy, Sameh Sorour, Samir Al-Ghadhban, Mohamed-Slim Alouini, Tareq Y. Al-Naffouri

Research output: Contribution to journalArticlepeer-review

10 Scopus citations


Cache-enabled small base station (SBS) densification is foreseen as a key component of 5G cellular networks. This architecture enables storing popular files at the network edge (i.e., SBS caches), which empowers local communication and alleviates traffic congestion at the core/backhaul network. This paper develops a mathematical framework, based on stochastic geometry, to characterize the hit probability in multi-channel cache-enabled 5G networks with both unicast/multicast capabilities and opportunistic spectrum access. To this end, we first derive the hit probability by characterizing the opportunistic spectrum access success probabilities, service distance distributions, and coverage probabilities. An optimization framework for file caching is then developed to maximize the hit probability. To this end, a simple concave approximation for the hit probability is proposed, which highly reduces the optimization complexity and leads to a closed-form solution. The sub-optimal solution is benchmarked against two widely employed caching distribution schemes, namely, uniform and Zipf caching, through numerical results and extensive simulations. It is shown that the caching strategy should be adapted to the network parameters and capabilities. For instance, diversifying file caching according to the Zipf distribution is better in multicast systems with large number of channels. However, when the number of channels is low and/or the network is restricted to unicast transmissions, it is better to confine caching to the most popular files only.
Original languageEnglish (US)
Pages (from-to)4447-4461
Number of pages15
JournalIEEE Transactions on Wireless Communications
Issue number7
StatePublished - Apr 17 2018

Bibliographical note

KAUST Repository Item: Exported on 2021-02-19
Acknowledged KAUST grant number(s): KAUST-002
Acknowledgements: This work was supported in part by a Grant from the Office of Competitive Research Funding at the King Abdullah University of Science and Technology (KAUST) and in part by the Deanship of Scientific Research at King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia, under Project KAUST-002. This paper was presented in part at the IEEE Global Communications Conference, December 2017 [1]. The associate editor coordinating the review of this paper and approving it for publication was K. Choi.

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