Joint computation and bandwidth resources allocation for generalized computing model in mobile edge computing
Author:
Affiliation:
1. School of Electronics and Information Technology, Sun Yat-sen University
2. School of Data and Computer Science, Sun Yat-sen University
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
General Medicine
Link
https://www.jstage.jst.go.jp/article/comex/9/2/9_2019XBL0146/_pdf
Reference7 articles.
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2. [2] P. Mach and Z. Becvar, “Mobile edge computing: A survey on architecture and computation offloading,” IEEE Commun. Surveys Tuts., vol. 19, no. 3, pp. 1628–1656, Mar. 2017. DOI:10.1109/COMST.2017.2682318
3. [3] Y. Mao, J. Zhang, and K. B. Letaief, “Joint task offloading scheduling and transmit power allocation for mobile-edge computing systems,” Proc. IEEE WCNC, San Francisco, CA, USA, pp. 1–6, Mar. 2017. DOI:10.1109/WCNC.2017.7925615
4. [4] T. Q. Dinh, J. Tang, Q. D. La, and T. Q. S. Quek, “Offloading in mobile edge computing: Task allocation and computational frequency scaling,” IEEE Trans. Commun., vol. 65, no. 8, pp. 3571–3584, Aug. 2017. DOI:10.1109/TCOMM.2017.2699660
5. [5] S. Sardellitti, G. Scutari, and S. Barbarossa, “Joint optimization of radio and computational resources for multicell mobile-edge computing,” IEEE Trans. Signal Inf. Process. over Networks, vol. 1, no. 2, pp. 89–103, June 2015. DOI:10.1109/TSIPN.2015.2448520
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