Abstract
Device to Device (D2D) communication scheduling is fundamental for data offloading in fifth-generation (5G) edge-computing mobile networks. Suppose there are multiple users which aim to fetch cached popular contents locally via data offloading, and assume each device user has a demand, the objective is to seek an interference-aware schedule of transmission activities with minimum delay to satisfy all demands. We consider the problem with the duty-cycled constraint. We propose a combinatorial algorithm under the duty-cycled model. The approximation factor is independent of the cycling period length, while most existing methods for duty-cycled scheduling are accompanied with large approximation bounds that increase linearly with the cycling period length of the duty-cycled model.
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Acknowledgements
The work of Yuanfang Chen is supported in part by the National Natural Science Foundation of China (Grant No. 61802097), and the Project of Qianjiang Talent (Grant No. QJD1802020). The work of Shuibing He is supported in part by the National Science Foundation of China (Grant No. 61572377), the Natural Science Foundation of Hubei Province of China (Grant No. 2017CFC889), and the Fundamental Research Funds for the Central Universities (Grant No. 2018QNA5015). However, any opinion, finding, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the funding agencies.
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Xu, X., Chen, Y., Zhao, Y., He, S., Song, H. (2020). Delay Efficient D2D Communications over 5G Edge-Computing Mobile Networks. In: Wang, R., Chen, Z., Zhang, W., Zhu, Q. (eds) Proceedings of the 11th International Conference on Modelling, Identification and Control (ICMIC2019). Lecture Notes in Electrical Engineering, vol 582. Springer, Singapore. https://doi.org/10.1007/978-981-15-0474-7_117
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DOI: https://doi.org/10.1007/978-981-15-0474-7_117
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