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- W2785847587 abstract "This paper studies the cloud offloading gains of using heterogeneous enhanced remote radio heads (eRRHs) and dual-interface clients in fog radio access networks (F-RANs). First, the cloud offloading problem is formulated as a collection of independent sets selection problem over a network coding graph, and its NP-hardness is shown. Therefore, a computationally simple online heuristic algorithm is proposed, that maximizes cloud offloading by finding an efficient schedule of coded file transmissions from the eRRHs and the cloud base station (CBS). Furthermore, a lower bound on the average number of required CBS channels to serve all clients is derived. Simulation results show that our proposed framework that uses both network coding and a heterogeneous F-RAN setting enhances cloud offloading as compared to conventional homogeneous F-RANs with network coding." @default.
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- W2785847587 date "2017-09-01" @default.
- W2785847587 modified "2023-09-26" @default.
- W2785847587 title "Online Cloud Offloading Using Heterogeneous Enhanced Remote Radio Heads" @default.
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- W2785847587 doi "https://doi.org/10.1109/vtcfall.2017.8288205" @default.
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