SWS Academic Research eLibraryEarth & Planetary Sciences

Scholarly record

LATENCY ESTIMATION FOR DIFFERENT MEC DEPLOYMENT SCENARIOS

Evelina Pencheva

First published: 2019-06-20https://doi.org/10.5593/sgem2019/2.1/s07.050View metrics

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.

Publication Impact Profile

PlumX
  • Captures
  • Mendeley - Readers: 4

Publication details

Title
LATENCY ESTIMATION FOR DIFFERENT MEC DEPLOYMENT SCENARIOS
Authors
Evelina Pencheva
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 19th International Multidisciplinary Scientific GeoConference SGEM2019, Informatics, Geoinformatics and Remote Sensing
Publisher
STEF92 Technology
Year
2019
Pages
383-390
SWS Citekey
Pencheva20197383390
ISSN
1314-2704
ISBN
978-619-7408-79-9
Language
en
Publication type
Conference Paper
Keywords
References0
0references registered for this publication

Structured references will appear here after the reference import pass. The count is preserved now so the scholarly record is not incomplete.

View or Download full articleAccess options
Full paper accessChoose SWS login, librarian support, or instant article download.

SWS access login

Login as SWS Scientific Committee

Authors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.

For librarian assistance: [email protected]

Purchase Instant Access

48-hour online accessComing soon
Online-only accessComing soon
Download the full article in PDF formatEUR 35
  • Article can be downloaded after successful payment.
  • Article may be used according to SWS library access terms.
  • Article cannot be redistributed.
Get full paper

Back to publication list