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- W2914795871 abstract "Mobile Broad Band (MBB) networks and Software-Defined Networking (SDN) are expected to strongly characterize the future evolution of global communications envisioned by the Fifth Generation mobile networks (5G). Although SDN has seen adoption and wide experimentation in data-center networks, its benefits and challenges in MBB has not received comparable coverage. In this work we experiment with a state-of-art SDN-based approach for passive monitoring available bandwidth and throughput with an OpenFlow switch in the mobile node. We evaluate the approach on a real-world commercial 4G network (leveraging the MONROE platform), considering two deployments (with an SDN controller local to the mobile node, and a remote one, whose control messages traverse the radio access network) and compare the results of the experiments against analogous deployments in a fully-wired testbed. For both the local and remote deployments, different polling periods, in different traffic conditions, are considered. Results show that, while further research is needed to investigate the variability of the relative error (standard deviation ranges between 1.21 and 8.65% in the worst case), its mean is very low, confirming the feasibility of the proposed estimation approach." @default.
- W2914795871 created "2019-02-21" @default.
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- W2914795871 date "2018-11-01" @default.
- W2914795871 modified "2023-10-18" @default.
- W2914795871 title "Evaluation of SDN-based bandwidth estimation in Mobile Broad Band networks" @default.
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- W2914795871 doi "https://doi.org/10.1109/apcc.2018.8633562" @default.
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