Journal
IEEE-ACM TRANSACTIONS ON NETWORKING
Volume 24, Issue 5, Pages 2827-2840Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TNET.2015.2487344
Keywords
Computation offloading; game theory; mobile-edge cloud computing; Nash equilibrium
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Funding
- EU FP7 IRSES MobileCloud Project [612212]
- National Natural Science Foundation of China [61373128, 61321491]
- Sino-German Institutes of Social Computing
- Simulation Science Center - State Lower Saxony
- Volkswagen Foundation
- Alexander von Humboldt Foundation
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Mobile-edge cloud computing is a new paradigm to provide cloud computing capabilities at the edge of pervasive radio access networks in close proximity to mobile users. In this paper, we first study the multi-user computation offloading problem for mobile-edge cloud computing in a multi-channel wireless interference environment. We show that it is NP-hard to compute a centralized optimal solution, and hence adopt a game theoretic approach for achieving efficient computation offloading in a distributed manner. We formulate the distributed computation offloading decision making problem among mobile device users as a multi-user computation offloading game. We analyze the structural property of the game and show that the game admits a Nash equilibrium and possesses the finite improvement property. We then design a distributed computation offloading algorithm that can achieve a Nash equilibrium, derive the upper bound of the convergence time, and quantify its efficiency ratio over the centralized optimal solutions in terms of two important performance metrics. We further extend our study to the scenario of multi-user computation offloading in the multi-channel wireless contention environment. Numerical results corroborate that the proposed algorithm can achieve superior computation offloading performance and scale well as the user size increases.
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