Auction-Based Resource Allocation for Mobile Edge Computing Networks

Ben LIU  Ding XU  

IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E103-A   No.4   pp.718-722
Publication Date: 2020/04/01
Online ISSN: 1745-1337
DOI: 10.1587/transfun.2019EAL2136
Type of Manuscript: LETTER
Category: Communication Theory and Signals
mobile edge computing,  auction theory,  resource allocation,  incentive mechanism,  

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Mobile edge computing (MEC) is a new computing paradigm, which provides computing support for resource-constrained user equipments (UEs). In this letter, we design an effective incentive framework to encourage MEC operators to provide computing service for UEs. The problem of jointly allocating communication and computing resources to maximize the revenue of MEC operators is studied. Based on auction theory, we design a multi-round iterative auction (MRIA) algorithm to solve the problem. Extensive simulations have been conducted to evaluate the performance of the proposed algorithm and it is shown that the proposed algorithm can significantly improve the overall revenue of MEC operators.