Journal
IEEE WIRELESS COMMUNICATIONS LETTERS
Volume 7, Issue 3, Pages 420-423Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LWC.2017.2780128
Keywords
Mobile edge computing (MEC); computation offloading; pricing; Stackelberg game
Categories
Funding
- Natural Science Foundation of China [61401159, 61771203]
- Pearl River Science and Technology Nova Program of Guangzhou [201710010111]
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Mobile-edge computing is a promising technology to enable real-time information transmission and computing by offloading computation tasks from wireless devices to network edge. In this letter, we propose a price-based distributed method to manage the offloaded computation tasks from users. A Stackelberg game is formulated to model the interaction between the edge cloud and users, where the edge cloud sets prices to maximize its revenue subject to its finite computation capacity, and for given prices, each user locally makes offloading decision to minimize its own cost which is defined as latency plus payment. Depending on the edge cloud's knowledge of the network information, we develop the uniform and differentiated pricing algorithms, which can both be implemented in distributed manners. Simulation results validate the effectiveness of the proposed schemes.
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