Network-Coded Macrocell Offloading in Femtocaching-Assisted Cellular Networks
Yousef N. Shnaiwer, Sameh Sorour, Parastoo Sadeghi, Neda Aboutorab,, and Tareq Y. Al-Naffouri

TL;DR
This paper proposes an innovative network coding-based offloading scheme for femtocaching-assisted cellular networks, significantly reducing macrocell base station transmissions while ensuring all user requests are served efficiently.
Contribution
It introduces an ONC-broadcast offloading scheme leveraging network coding and broadcasting, proving its asymptotic optimality and providing practical heuristics for implementation.
Findings
The ONC-broadcast scheme reduces MBS transmissions compared to traditional methods.
The proposed heuristic achieves near-optimal performance in simulations.
Asymptotic analysis confirms the scheme's optimality for large request volumes.
Abstract
The femtocaching idea was proposed as a solution to compensate for the weak backhaul capacity, by deploying coverage-limited nodes with high storage capacity called femtocaches (FCs). In this paper, the macrocell offloading problem in femtocaching-assisted cellular networks is investigated. The objective is to minimize the number of transmissions by the macrocell base station (MBS) given that all requests should be served simultaneously to satisfy quality-of-experience (QoE) of the clients. We first formulate this MBS offloading problem as an optimization problem over a network coding graph, and show that it is NP-hard. Therefore, we propose an ONC-broadcast offloading scheme that exploits both broadcasting and opportunistic network coding (ONC) to minimize the number of required MBS transmissions. We utilize a random graph model to approximate the performance of the proposed…
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