Scholarly record
LATENCY ESTIMATION FOR DIFFERENT MEC DEPLOYMENT SCENARIOS
Abstract
The concept of Multi-access Edge Computing (MEC) is introduced with the intention to improve network performance and quality of experience for end users. MEC brings cloud capabilities at the network edge and thus it helps to reduce the latency, increases network efficiency and security, providing context and radio network information awareness for applications. The MEC deployment closer to the Radio Access Network (RAN) is the best way to receive radio network and location information, to manage the bandwidth, and to handle the user traffic. In this paper, we consider two MEC deployment scenarios in 5G and estimate the latency introduced by signaling. In one of the scenarios, the MEC platform is co-located with Centralized Unit of Cloud RAN deployment and MEC services and applications may share the same virtualized platform. In other scenario, the MEC platform is located at an aggregation point in RAN and serves a few bas station. The latency reduction in former scenario is due internal interface between base station and MEC platform.
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References13
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