With the fast changing times, the use of communication media is changing faster. In the recent years, there is an excessive demand amongst the subscribers for seamless streaming and experiencing videos and other web contents via smart portable phones and gadgets. This scenario has led to a copious and prodigious increase in the network traffic. The content has to traverse across many accesses such as base station, network core and so on, to reach the smart devices. Moreover, it might cause augmented content latency, in specific scenarios the subscribers' request gets repudiated as a result of network congestion and also excessive load in the mobile operators' core network. Therefore, to solve these issues, we propose to develop a novel architecture that brings the computation to the proximity of the user in the 5G edge network. This novel approach allows us to use the internet related services with improved accuracy and low latency. However, an overloaded multi-access edge computing (MEC) system negates the benefits of these advancements, thus providing a degraded quality of experience to the user. So, we aim to develop MEC architecture such that it helps content providers use real-time radio access network information to smoothly and accurately serve context-aware services in the developing 5G network. © 2018 IEEE.