Joint Optimization of Cloud and Edge Processing for Fog Radio Access Networks
Seok-Hwan Park, Osvaldo Simeone, Shlomo Shamai

TL;DR
This paper explores joint cloud and edge processing in fog radio access networks, proposing a hybrid fronthaul mode combining soft and hard transfer strategies to optimize delivery rates under capacity and power constraints.
Contribution
It introduces a novel hybrid fronthaul scheme that combines soft and hard transfer modes with superposition coding for improved fog RAN performance.
Findings
Hybrid scheme outperforms individual modes in delivery rate.
Superposition coding enables flexible processing at BBU and eRRHs.
Performance varies with pre-fetching strategies and fronthaul capacity.
Abstract
This work studies the joint design of cloud and edge processing for the downlink of a fog radio access network (F-RAN). In an F-RAN, as in cloud-RAN (C-RAN), a baseband processing unit (BBU) can perform joint baseband processing on behalf of the remote radio heads (RRHs) that are connected to the BBU by means of the fronthaul links. In addition to the minimal functionalities of conventional RRHs in C-RAN, the RRHs in an F-RAN may be equipped with local caches, in which frequently requested contents can be stored, as well as with baseband processing capabilities. They are hence referred to as enhanced RRH (eRRH). This work focuses on the design of the delivery phase for an arbitrary pre-fetching strategy used to populate the caches of the eRRHs. Two fronthauling modes are considered, namely a hard-transfer mode, whereby non-cached files are communicated over the fronthaul links to a…
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