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Wang, \u201cFog-computing-based radio access networks: Issues and challenges,\u201d IEEE Netw., vol.30, no.4, pp.46-53, July 2016. 10.1109\/mnet.2016.7513863","DOI":"10.1109\/MNET.2016.7513863"},{"key":"13","doi-asserted-by":"publisher","unstructured":"[13] Y. Shih, W. Chung, A. Pang, T. Chiu, and H. Wei, \u201cEnabling low-latency applications in fog-radio access networks,\u201d IEEE Netw., vol.31, no.1, pp.52-58, Jan. 2017. 10.1109\/mnet.2016.1500279nm","DOI":"10.1109\/MNET.2016.1500279NM"},{"key":"14","doi-asserted-by":"publisher","unstructured":"[14] J.H. Park, O. Simeone, and S. Shamai, \u201cJoint optimization of cloud and edge processing for fog radio access networks,\u201d IEEE Trans. Wireless Commun., vol.15, no.11, pp.7621-7632, Nov. 2016. 10.1109\/twc.2016.2605104","DOI":"10.1109\/TWC.2016.2605104"},{"key":"15","doi-asserted-by":"crossref","unstructured":"[15] K. Hayashi, M. Kaneko, T. Fujii, H. Sakai, and Y. 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