Computation Offloading and Resource Allocation in Wireless Cellular Networks With Mobile Edge Computing

Mobile edge computing has risen as a promising technology for augmenting the computational capabilities of mobile devices. Meanwhile, in-network caching has become a natural trend of the solution of handling exponentially increasing Internet traffic. The important issues in these two networking para...

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Bibliographic Details
Published in:IEEE transactions on wireless communications 2017-08, Vol.16 (8), p.4924-4938
Main Authors: Chenmeng Wang, Chengchao Liang, Yu, F. Richard, Qianbin Chen, Lun Tang
Format: Article
Language:English
Subjects:
Caching
Cellular communication
Computation offloading
Computational geometry
Computational modeling
Computer simulation
Convexity
Edge computing
Electronic devices
in-network caching
Mobile communication
Mobile computing
Mobile edge computing
Optimization
Resource allocation
Resource management
Servers
small cell networks
Wireless communication
Wireless networks
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Summary:Mobile edge computing has risen as a promising technology for augmenting the computational capabilities of mobile devices. Meanwhile, in-network caching has become a natural trend of the solution of handling exponentially increasing Internet traffic. The important issues in these two networking paradigms are computation offloading and content caching strategies, respectively. In order to jointly tackle these issues in wireless cellular networks with mobile edge computing, we formulate the computation offloading decision, resource allocation and content caching strategy as an optimization problem, considering the total revenue of the network. Furthermore, we transform the original problem into a convex problem and then decompose it in order to solve it in a distributed and efficient way. Finally, with recent advances in distributed convex optimization, we develop an alternating direction method of multipliers-based algorithm to solve the optimization problem. The effectiveness of the proposed scheme is demonstrated by simulation results with different system parameters.
ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2017.2703901