@inproceedings{266e2a031a5d4a6c8301c9e77321426c,
title = "A channel selection method for device to device (D2D) communication using the mobile edge computing (MEC) paradigm",
abstract = "Nowadays, LTE (Long Term Evolution) had been developed stably and can support large scale communication services to mobile devices, the traffic offloading in core network and mobile devices is still an issue. Besides, the intensive collision between mobile devices is also an issue because they need to compete the finite network resources with each other. Mobile Edge Computing (MEC) is a promising technique applied to network edge, which can assist the edge device to offload the data traffic and decrease the gigantic computation effort through sending the complicated tasks to remote MEC before sending to core network. To solve the traffic and location issues, this paper proposed a channel selection scheme for MEC-assisted Device to Device Communication Offloading (MD2DO) which can help the peered mobile devices to confirm the location of the mobile device and efficiently have Wi-Fi D2D through channel selection for traffic offloading.",
author = "Chung-Ming Huang and Cheng, {Rung Shiang} and Chen, {Hsing Han}",
year = "2019",
month = "1",
day = "1",
doi = "10.1007/978-3-030-06158-6_18",
language = "English",
isbn = "9783030061579",
series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",
publisher = "Springer Verlag",
pages = "173--182",
editor = "Ai-Chun Pang and Der-Jiunn Deng and Chun-Cheng Lin and Jiann-Liang Chen",
booktitle = "Wireless Internet - 11th EAI International Conference, WiCON 2018, Proceedings",
address = "Germany",
note = "11th International Conference on Wireless Internet , WiCON 2018 ; Conference date: 15-10-2018 Through 16-10-2018",
}