Through enabling the IT and cloud computation capacities at Radio Access Network (RAN), Mobile Edge Computing (MEC) makes it possible to deploy and provide services locally. Therefore, MEC becomes the potential technology to satisfy the requirements of 5G network to a certain extent, due to its functions of services localization, local breakout, caching, computation offloading, network context information exposure, etc. Especially, MEC can decrease the end-to-end latency dramatically through service localization and caching, which is key requirement of 5G low latency scenario. However, the performance of MEC still needs to be evaluated and verified for future deployment. Thus, the concept of MEC is introduced into 5G architecture and analyzed for different 5G scenarios in this paper. Secondly, the evaluation of MEC performance is conducted and analyzed in detail, especially for network end-to-end latency. In addition, some challenges of the MEC are also discussed for future deployment.
[1]
Wang Haining,et al.
A flexible three clouds 5G mobile network architecture based on NFV & SDN
,
2015,
China Communications.
[2]
Hubertus Feussner,et al.
Enabling Real-Time Context-Aware Collaboration through 5G and Mobile Edge Computing
,
2015,
2015 12th International Conference on Information Technology - New Generations.
[3]
Frank Schaich,et al.
5GNOW: non-orthogonal, asynchronous waveforms for future mobile applications
,
2014,
IEEE Communications Magazine.
[4]
More than 50 billion connected devices
,
2011
.
[5]
Michael Till Beck,et al.
Mobile Edge Computing: A Taxonomy
,
2014
.