Resource allocation for network profit maximization in NOMA-based F-RANs: a game-theoretic approach
Author:
Publisher
Zhejiang University Press
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing
Link
https://link.springer.com/content/pdf/10.1631/FITEE.2100341.pdf
Reference30 articles.
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3. Cao XY, Peng MG, Ding ZG, 2019. A game-theoretic approach of resource allocation in NOMA-based fog radio access networks. Proc 90th Vehicular Technology Conf, p. 1–5. https://doi.org/10.1109/VTCFall.2019.8891156
4. Dang T, Peng MG, 2019. Joint radio communication, caching, and computing design for mobile virtual reality delivery in fog radio access networks. IEEE J Sel Areas Commun, 37(7):1594–1607. https://doi.org/10.1109/JSAC.2019.2916486
5. Deng RL, Lu RX, Lai CZ, et al., 2016. Optimal workload allocation in fog-cloud computing toward balanced delay and power consumption. IEEE Int Things J, 3(6): 1171–1181. https://doi.org/10.1109/JIOT.2016.2565516
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