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학술지 Multiaccess Edge Computing-Based Simulation as a Service for 5G Mobile Applications: A Case Study of Tollgate Selection for Autonomous Vehicles
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저자
이준희, 강성주, 전재호, 전인걸
발행일
202003
출처
Wireless Communications and Mobile Computing, v.2020, pp.1-15
ISSN
1530-8669
출판사
Hindawi Publishing
DOI
https://dx.doi.org/10.1155/2020/9869434
협약과제
19MS1100, (초저지연-총괄/1세부)저지연 융합서비스를 위한 모바일 에지 컴퓨팅 플랫폼 기술 개발, 전인걸
초록
As the data rate and area capacity are enormously increased with the advent of 5G wireless communication, the network latency becomes a severe issue in a 5G network. Since there are various types of terminals in a 5G network such as vehicles, medical devices, robots, drones, and various sensors which perform complex tasks interacting with other devices dynamically, there is a need to handle heavy computing resource intensive operations. Placing a multiaccess edge computing (MEC) server at the base station, which is located at the edge, can be one of the solutions to it. The application running on the MEC platform needs a specific simulation technique to analyze complex systems inside the MEC network. We proposed and implemented a simulation as a service (SIMaaS) for the MEC platform, which is to offload the simulation using a Cloud infrastructure based on the concept of computation offloading. In the case study, the Monte-Carlo simulations are conducted using the proposed SIMaaS to select the optimal highway tollgate where vehicles are allowed to enter. It shows how clients of the MEC platform use SIMaaS to obtain certain goals.
KSP 제안 키워드
5G Network, 5G mobile, 5G wireless communication, Area Capacity, Autonomous vehicle, Case studies, Complex systems, Computation offloading, Computing resources, Mobile Application(APP), Monte-Carlo simulation(MCS)
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