Cache-enabled small cell networks: modeling and tradeoffs

By Ejder Bastug, Medhi Bennis, Merouane Debbah. EURASIP Journal on Wireless Communications and Networking, 2014

358 citations recorded by the source corpus.

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.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/b0704db380e4a59f55586f96a9bc6586e6ae0714

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Citations in the corpus

Smart radio environments empowered by reconfigurable AI meta-surfaces: an idea whose time has come (2019, background): “Also, spatial processes have found many applications beyond communications, e.g., localization [113–115], caching (local data storage) [116–118], distributed sensing, and data fusion [119–121].”
Contract-Based Small-Cell Caching for Data Disseminations in Ultra-Dense Cellular Networks (2019, background): “In [18], the smallcell caching is investigated in the context of stochastic networks.”
A Survey on Low Latency Towards 5G: RAN, Core Network and Caching Solutions (2017, background): “Centralized caching [134]–[136], [139], [141], [143]–[149], [151]–[155] Various centralized caching is investigated with assumption that a coordinator with access to almost all the information about the storage capacities of different BSs, the connectivity of the users and BSs, and etc. Distributed…”
Caching in the Sky: Proactive Deployment of Cache-Enabled Unmanned Aerial Vehicles for Optimized Quality-of-Experience (2016, background): “The work in [8] studied the use of cache-enabled small base stations to alleviate the load of backhaul.”
Analysis on Cache-Enabled Wireless Heterogeneous Networks (2015, background): “, the traffic load in the nighttime, the most popular contents can be pushed and then cached at the relays and the cache-enabled users via broadcasting [28].”
Cooperative Caching and Transmission Design in Cluster-Centric Small Cell Networks (2016, methodology): “For practical reasons, we choose K ∈ [1 , 10] to get numerical results in the ﬁnite range.”
A Survey on Mobile Edge Computing: The Communication Perspective (2017, background): “access [166], data caching in MEC systems brings about manifold effects on the computation accuracy, latency and edge server-energy consumption, which, however, have not been”
Mobile Edge Intelligence and Computing for the Internet of Vehicles (2019, background): “, wireless edge caching, stands out as a promising solution for efficient content delivery [32], [33], [34], [35].”
Optimal geographic caching in cellular networks (2014, neutral): “Bastug et al in [4] provide stochastic geometry results on”