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A D2D-Multicast Based Computation Offloading Framework for Mobile Edge Computing

Abstract : Computation offloading manages resource-intensive and interactive applications on mobile devices where much processing is replicated with multiple users in the same environment. In this paper, we consider the scenario where duplicated computation tasks are processed on specific mobile users and computation results are shared through Device-to-Device (D2D) multicast channel. Our goal is to find an optimal network partition for D2D multicast offloading, in order to minimize the overall energy consumption at the mobile terminal side. To this end, we first propose a D2D multicast-based computation offloading framework where the problem is modelled as a combinatorial optimization problem, and then solved using the concepts of from maximum weighted bipartite matching and coalitional game. Note that our proposal considers the delay constraint for each mobile user as well as the battery level to guarantee fairness. To gauge the effectiveness of our proposal, we simulate three typical interactive components. Simulation results show that our algorithm can significantly reduce the energy consumption, and guarantee the battery fairness among multiple users at the same time.
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https://hal-upec-upem.archives-ouvertes.fr/hal-01672753
Contributor : Langar Rami <>
Submitted on : Wednesday, December 27, 2017 - 12:54:26 AM
Last modification on : Wednesday, February 26, 2020 - 7:06:16 PM

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Shuai Yu, Rami Langar, Xin Wang. A D2D-Multicast Based Computation Offloading Framework for Mobile Edge Computing. IEEE GLOBECOM, Dec 2016, Washington DC, United States. ⟨10.1109/GLOCOM.2016.7841490⟩. ⟨hal-01672753⟩

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