Cache-enabled small cell networks: modeling and tradeoffs

Ejder Baştuǧ (1) , Mehdi Bennis (2) , Marios Kountouris (3, 4) , Mérouane Debbah (1, 4)

1 LANEAS - Large Networks and Systems Group
2 Centre for Wireless Communications, Oulu, Finland
3 L2S - Laboratoire des signaux et systèmes
4 Mathematical and Algorithmic Sciences Lab [Paris]

We consider a network model where small base stations (SBSs) have caching capabilities as a means to alleviate the backhaul load and satisfy users' demand. The SBSs are stochastically distributed over the plane according to a Poisson point process (PPP), and serve their users either (i) by bringing the content from the Internet through a finite rate backhaul or (ii) by serving them from the local caches. We derive closed-form expressions for the outage probability and the average delivery rate as a function of the signal-to-interference-plus-noise ratio (SINR), SBS density, target file bitrate, storage size, file length and file popularity. We then analyze the impact of key operating parameters on the system performance. It is shown that a certain outage probability can be achieved either by increasing the number of base stations or the total storage size. Our results and analysis provide key insights into the deployment of cache-enabled small cell networks (SCNs), which are seen as a promising solution for future heterogeneous cellular networks.

Mots clés: Index Terms caching; stochastic geometry; small cell networks; small base stations; mobile cellular networks; Poisson Point Process

Domaines: Sciences de l'ingénieur [physics]; Mathématiques [math]; Statistiques [stat]

Ejder Baştuǧ, Mehdi Bennis, Marios Kountouris, Mérouane Debbah. Cache-enabled small cell networks: modeling and tradeoffs. EURASIP Journal on Wireless Communications and Networking, 2015, 2015, pp.UNSP 41. ⟨10.1186/s13638-015-0250-4⟩. ⟨hal-01235911⟩