Paper Info
Title
Joint Computation Offloading, Resource Allocation And Content Caching In Cellular Networks With Mobile Edge Computing
Abstract
Mobile edge computing (MEC) has risen as a promising technology to augment 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, we formulate an optimization problem in wireless cellular networks with mobile edge computing, taking into consideration computation offloading decision, physical spectrum resource allocation, MEC computation resource allocation, and content caching strategy. 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 (ADMM) based algorithm to solve the optimization problem. The effectiveness of the proposed scheme is demonstrated by simulation results with different system parameters.
Year
Venue
Keywords
2017
2017 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC)
Mobile edge computing, small cell networks, computation offloading, resource allocation, in-network caching
Field
DocType
ISSN
Mobile computing,Edge computing,Computer science,Computer network,Real-time computing,Computation offloading,Resource allocation,Mobile edge computing,Small cell,Optimization problem,Convex optimization,Distributed computing
Conference
1550-3607
Citations 
PageRank 
References 
2
0.37
13
Authors
5
Name
Order
Citations
PageRank
Chenmeng Wang11416.55
Chengchao Liang229113.64
Fei Yu35116335.58
Qian-Bin Chen422352.05
Tang Lun516416.78