Distributed Power Control for Interference-Aware Multi-User Mobile Edge Computing: A Game Theory Approach
The computation task offloading and resource management in mobile edge computing (MEC) become attractive in recent years. Many algorithms have been proposed to improve the performance of the MEC system. However, the research on power control in MEC systems is just starting. The power control in the...
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doaj-add01dda8be748c199f91247b6073f1d2021-03-29T21:03:47ZengIEEEIEEE Access2169-35362018-01-016361053611410.1109/ACCESS.2018.28492078390908Distributed Power Control for Interference-Aware Multi-User Mobile Edge Computing: A Game Theory ApproachNing Li0https://orcid.org/0000-0002-8567-4025Jose-Fernan Martinez-Ortega1Vicente Hernandez Diaz2School of Engineering and Telecommunication systems, Universidad Politécnica de Madrid, Madrid, SpainSchool of Engineering and Telecommunication systems, Universidad Politécnica de Madrid, Madrid, SpainSchool of Engineering and Telecommunication systems, Universidad Politécnica de Madrid, Madrid, SpainThe computation task offloading and resource management in mobile edge computing (MEC) become attractive in recent years. Many algorithms have been proposed to improve the performance of the MEC system. However, the research on power control in MEC systems is just starting. The power control in the single-user and an interference-free multi-user MEC systems has been investigated; but in the interference-aware multi-user MEC systems, this issue has not been learned in detail. Therefore, a game theory-based power control approach for the interference-aware multi-user MEC system is proposed in this paper. In this algorithm, both the interference and the multi-user scenario are considered. Moreover, the existence and uniqueness of the Nash Equilibrium (NE) of this game are proved, and the performance of this algorithm is evaluated via theoretical analysis and numerical simulation. The convergence, the computation complexity and the price of anarchy in terms of the system-wide computation overhead are investigated in detail. The performance of this algorithm has been compared with the traditional localized optimal algorithm by simulation. The simulation results demonstrate that the proposed algorithm has more advantages than the traditional one.https://ieeexplore.ieee.org/document/8390908/Edge computinginterferencemulti-userpower controlgame theory |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ning Li Jose-Fernan Martinez-Ortega Vicente Hernandez Diaz |
spellingShingle |
Ning Li Jose-Fernan Martinez-Ortega Vicente Hernandez Diaz Distributed Power Control for Interference-Aware Multi-User Mobile Edge Computing: A Game Theory Approach IEEE Access Edge computing interference multi-user power control game theory |
author_facet |
Ning Li Jose-Fernan Martinez-Ortega Vicente Hernandez Diaz |
author_sort |
Ning Li |
title |
Distributed Power Control for Interference-Aware Multi-User Mobile Edge Computing: A Game Theory Approach |
title_short |
Distributed Power Control for Interference-Aware Multi-User Mobile Edge Computing: A Game Theory Approach |
title_full |
Distributed Power Control for Interference-Aware Multi-User Mobile Edge Computing: A Game Theory Approach |
title_fullStr |
Distributed Power Control for Interference-Aware Multi-User Mobile Edge Computing: A Game Theory Approach |
title_full_unstemmed |
Distributed Power Control for Interference-Aware Multi-User Mobile Edge Computing: A Game Theory Approach |
title_sort |
distributed power control for interference-aware multi-user mobile edge computing: a game theory approach |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2018-01-01 |
description |
The computation task offloading and resource management in mobile edge computing (MEC) become attractive in recent years. Many algorithms have been proposed to improve the performance of the MEC system. However, the research on power control in MEC systems is just starting. The power control in the single-user and an interference-free multi-user MEC systems has been investigated; but in the interference-aware multi-user MEC systems, this issue has not been learned in detail. Therefore, a game theory-based power control approach for the interference-aware multi-user MEC system is proposed in this paper. In this algorithm, both the interference and the multi-user scenario are considered. Moreover, the existence and uniqueness of the Nash Equilibrium (NE) of this game are proved, and the performance of this algorithm is evaluated via theoretical analysis and numerical simulation. The convergence, the computation complexity and the price of anarchy in terms of the system-wide computation overhead are investigated in detail. The performance of this algorithm has been compared with the traditional localized optimal algorithm by simulation. The simulation results demonstrate that the proposed algorithm has more advantages than the traditional one. |
topic |
Edge computing interference multi-user power control game theory |
url |
https://ieeexplore.ieee.org/document/8390908/ |
work_keys_str_mv |
AT ningli distributedpowercontrolforinterferenceawaremultiusermobileedgecomputingagametheoryapproach AT josefernanmartinezortega distributedpowercontrolforinterferenceawaremultiusermobileedgecomputingagametheoryapproach AT vicentehernandezdiaz distributedpowercontrolforinterferenceawaremultiusermobileedgecomputingagametheoryapproach |
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