Literature Database Entry

higuchi2019cooperative


Takamasa Higuchi, R. Vince Rabsatt, Mario Gerla, Onur Altintas and Falko Dressler, "Cooperative Downloading in Vehicular Heterogeneous Networks at the Edge," Proceedings of IEEE Global Communications Conference (GLOBECOM 2019), Workshop on New and Disruptive Technologies and Applications for Mobile Edge/Fog Computing (MobileEdgeCom 2019), Waikoloa, HI, December 2019.


Abstract

Cellular network resources are being overwhelmed due to the increase in devices that are dependent on them. Downlink traffic in cellular networks tends to be significantly higher than uplink traffic, due to the high volumes of downloaded content. Mobile Edge Computing (MEC) is a new technology that promises to reduce some of the burden on cellular resources, especially within the core network. In vehicular networks, vehicles share time and space, and often are interested in information with respect to their travels. In this paper, we propose a cooperative downloading protocol for heterogeneous networks that enables vehicles to collaborate in downloading content of interest, while reducing the load on the cellular network, which also extends benefits of the mobile edge to vehicular clusters. Our results show that cooperation can reduce the utilization of cellular resources, and form sets of peers to efficiently download content.

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Takamasa Higuchi
R. Vince Rabsatt
Mario Gerla
Onur Altintas
Falko Dressler

BibTeX reference

@inproceedings{higuchi2019cooperative,
    author = {Higuchi, Takamasa and Rabsatt, R. Vince and Gerla, Mario and Altintas, Onur and Dressler, Falko},
    doi = {10.1109/GCWkshps45667.2019.9024655},
    title = {{Cooperative Downloading in Vehicular Heterogeneous Networks at the Edge}},
    publisher = {IEEE},
    address = {Waikoloa, HI},
    booktitle = {IEEE Global Communications Conference (GLOBECOM 2019), Workshop on New and Disruptive Technologies and Applications for Mobile Edge/Fog Computing (MobileEdgeCom 2019)},
    month = {12},
    year = {2019},
   }
   
   

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