Resource Allocation in Full-Duplex Mobile-Edge Computation Systems with NOMA and Energy Harvesting

Zhaohui Yang; Jiancao Hou; Mohammad Reza Shikh-Bahaei

doi:10.1109/ICC.2019.8761939

Resource Allocation in Full-Duplex Mobile-Edge Computation Systems with NOMA and Energy Harvesting

Zhaohui Yang, Jiancao Hou, Mohammad Reza Shikh-Bahaei

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

15 Citations (Scopus)

240 Downloads (Pure)

Abstract

This paper considers a full-duplex (FD) mobile-edge computation (MEC) system with non-orthogonal multiple access (NOMA) and energy harvesting (EH), where one group of users simultaneously offload task data to the base station (BS) via NOMA and the BS simultaneously receive data and broadcast energy to other group of users with FD. We aim at minimizing the total energy consumption of the system via power control, time scheduling and offloading data allocation. To solve this nonconvex problem, we first transform it into an equivalent problem with less variables. The equivalent problem is shown to be convex in each vector with the other two vectors fixed, which allows us to design an iterative algorithm with low complexity. Simulation results show that the proposed algorithm achieves better performance than the conventional methods.

Original language	English
Title of host publication	2019 IEEE International Conference on Communications, ICC 2019 - Proceedings
Volume	2019-May
ISBN (Electronic)	9781538680889
DOIs	https://doi.org/10.1109/ICC.2019.8761939
Publication status	Published - 20 May 2019

Keywords

Full-duplex
energy harvesting
mobile-edge computation
nonorthogonal multiple access

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10.1109/ICC.2019.8761939

Resource Allocation in Full-Duplex_YANG_Conference20May2019_GREEN AAMAccepted author manuscript, 576 KB

Cite this

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Resource Allocation in Full-Duplex Mobile-Edge Computation Systems with NOMA and Energy Harvesting

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