Energy Minimization of Delay-Constrained Offloading in Vehicular Edge Computing Networks

Authors

T. Yang, Y. Zhu, Y. Hu, R. Mathar,

Abstract

        In this work, we study the energy efficiency problem in a vehicular edge computing network with delay sensitive tasks. We aim at minimizing the total energy consumption under the given delay constraints by jointly optimizing the offloading decisions and the computational resources. The resulting mixed integer non-convex problem is intractable to solve. To address the problem, it is reformulated into an equivalent tractable form and via relaxation it is transformed into a convex problem. Via simulations, the performance and the offloading behaviour of the proposed design are evaluated under various scenarios with different setups of vehicular density and delay limits.

BibTEX Reference Entry 

@inproceedings{YaZhHuMa19,
	author = {Tianyu Yang and Yao Zhu and Yulin Hu and Rudolf Mathar},
	title = "Energy Minimization of Delay-Constrained Offloading in Vehicular Edge Computing Networks",
	pages = "1-6",
	booktitle = "2019 {IEEE} Wireless Communications and Networking Conference (WCNC 2019)",
	address = {Marrakech, Morocco},
	month = Apr,
	year = 2019,
	hsb = RWTH-2019-05504,
	}

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