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.

Additional Metadata
Keywords computation offloading, in-network caching, Mobile edge computing, resource allocation, small cell networks
Persistent URL dx.doi.org/10.1109/ICC.2017.7996857
Conference 2017 IEEE International Conference on Communications, ICC 2017
Citation
Wang, C. (Chenmeng), Liang, C. (Chengchao), Yu, F.R, Chen, Q. (Qianbin), & Tang, L. (Lun). (2017). Joint computation offloading, resource allocation and content caching in cellular networks with mobile edge computing. In IEEE International Conference on Communications. doi:10.1109/ICC.2017.7996857