• 전자통신동향분석
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• 제34권6호
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• pp.108-122
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• 2019

Ultra-low latency networking is a technology that reduces the end-to-end latency related to transport time-sensitive or mission-critical traffic in a network. As the proliferation of the fourth industrial revolution and 5G mobile communications continues, ultra-low latency networking is emerging as an essential technology for supporting various network applications (such as industrial control, tele-surgery, and unmanned vehicles). In this report, we introduce the ultra-low-latency networking technologies that are in progress, categorized by application area, and examine their up-to-date standard status.

• 전자통신동향분석
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• 제36권6호
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• pp.13-24
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• 2021

Industrial networks has been developing various technologies from fieldbus technology to industrial Ethernet and time-sensitive networking. The industry expects that the 5G mobile network will solve the diverse and highly specific industrial site requirements. Accordingly, 3GPP has been developing standard functions to provide ultra-high reliability, ultra-high speed, ultra-connection, and ultra-low latency services, and 3GPP Rel-16 began developing ultra-low latency and ultra-high reliability communication functions for 5G mobile networks to support vertical industries. In this paper, we show the related standardization trends and requirements to apply industrial IoT service scenarios to 5G mobile networks, and in particular, we introduce 5G system features and extended 5G system architecture to provide time sensitive communication and time synchronization services.

• 한국컴퓨터정보학회논문지
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• 제27권10호
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• pp.105-113
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• 2022

본 논문에서는 5G 시스템과 IEEE 시간 민감형 네트워킹(TSN)에 대해서 소개 분석하고 초저지연 네트워크를 지원하기 위하여 5G-TSN에서 시간 민감형 통신을 위한 새로운 이동성 관리 방안을 제안한다. 시간 민감형 네트워킹(TSN)은 이더넷 기반의 저지연, 높은 신뢰성, 결정형 통신을 제공할 수 있는 핵심 요소 기술로써 산업 자동화와 산업용 사물인터넷(IIoT) 분야의 유망한 미래 기술이다. TSN 지원 단말이 TSN 비서비스 영역에서 TSN 서비스 영역으로 이동했을 때, 단말은 관련 이동성 관리가 적절히 수행되지 못하기 때문에 신속하게 TSN 서비스를 받을 수 없다. TSN 서비스 영역의 이동성 상황의 경우, 제안하는 방안은 기존 5G 이동통신망에서의 방안과 비교하여 TSN 서비스 및 초저지연 통신을 즉시 제공받기 위해서 TSN 서비스 사용 가능성을 네트워크에 알리고, 초기 등록을 동작시킨다.

• Journal of Communications and Networks
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• 제9권1호
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• pp.75-83
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• 2007

Orthogonal frequency division multiplexing (OFDM) systems with multiple transmit antennas can exploit space-time block coding on each subchannel for reliable data transmission. Spacetime coded OFDM systems, however, are very sensitive to time variant channels because the channels need to be static over multiple OFDM symbol periods. In this paper, we propose to mitigate the channel variations in the frequency domain using a linear filter in the frequency domain that exploits the sparse structure of the system matrix in the frequency domain. Our approach has reduced complexity compared with alternative approaches based on time domain block-linear filters. Simulation results demonstrate that our proposed frequency domain block-linear filter reduces computational complexity by more than a factor of ten at the cost of small performance degradation, compared with a time domain block-linear filter.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 ITC-CSCC -1
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• pp.309-312
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• 2002

Advances in networking infrastructure have led to the development of a new type of "computational grid" infrastructure that provides predictable, consistent and uniform access to geographically distributed resources such as computers, data repositories, scientific instruments, and advanced display devices Such Grid environments are being used to construct sophisticated, performance-sensitive applications in such areas as dynamic, distributed real-time applications. In this paper, we propose a toolset for designing distributed real-time systems based on computational grid. The toolset is based on a new methodology and integrates the models that methodology Proposed for designing real-time systems.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2000년도 가을 학술발표논문집 Vol.27 No.2 (3)
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• pp.111-113
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• 2000

We discuss the problem of resource reservation, such as bandwidth, for delay sensitive application in wireless networking environment. As multimedia application is becoming a critical role of the current mobile network, the resource reservation become very important to support the real-time service. In this paper, we propose and evaluate a new resource reservation protocol, called Split Reservation Protocol, in wireless network. The simulation results show that our proposed protocol outperforms an existing protocol called MPSVP in terms of network overhead.

• 한국정보과학회논문지:정보통신
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• 제35권2호
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• pp.112-119
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• 2008

최근 홈 네트워크 기술에 대한 관심도가 높아지면서 가정 내 장치들의 통신 방법에 대한 표준이 절실히 요구되고 있다. IEEE 802.1 AVB (Audio/Video Bridging)는 이더넷을 이용해 이러한 가정 내장치들 사이에 실시간성 데이타들을 전송하는 방법을 규정하고 있다. 하지만 IEEE 802.1 AVB는 IEEE 1588 PTP(Precision Time Protocol)와 같이 시간을 동기화 하기위해 다수의 컨트를 메시지를 이용하고 있어 복잡한 처리과정과 이로 인한 전송 지연의 문제점을 가지고 있다. 따라서 본 논문에서는 단일 타임싱크 프레임을 이용하여 시간을 동기화하는 방법을 제안한다. 단일 타임싱크 프레임을 이용한 방법은 여러 메시지 형태의 프레임을 이용하지 않고 단일 프레임을 이용하여 모든 동작이 가능한 범위의 동기식 이더넷의 전자기기들 사이에서의 통신에 적합한 처리 복잡도와 낮은 전송 지연을 제공한다. 나아가 단일 타임싱크 프레임을 이용한 시간 동기 방법에 실시간성 데이타 전송을 보장하는 대역폭 예약 방법 및 전송 방법에 대한 연구가 연계되어 진행되어야 한다.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제3권1호
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• pp.105-111
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• 2003

This paper is researching the storing of 40 different kinds of conditions. Such as, car speed, delay in starting time and the volume of cars in traffic. Through the use of a central nervous networking system or AI, using 10 different intersecting roads. We will improve the green traffic light. And allow more cars to easily flow through the intersections. Now days, with increasing many vehicles on restricted roads, the conventional traffic light creates prove startup-delay time and end-lag-time. The conventional traffic light loses the function of optimal cycle. And so, 30-45% of conventional traffic cycle is not matched to the present traffic cycle. In this paper proposes electro sensitive traffic light using fuzzy look up table method which will reduce the average vehicle waiting time and improve average vehicle speed. Computer simulation results prove that reducing the average vehicle waiting time which proposed considering passing vehicle length for optimal traffic cycle is better than fixed signal method which dosen't consider vehicle length.

• ETRI Journal
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• 제42권5호
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• pp.721-733
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• 2020

Recently, there is an increasing demand for ultra-low-latency (ULL) services such as factory automation, autonomous driving, and telesurgery that must meet an end-to-end latency of less than 10 ms. Fifth-generation (5G) New Radio guarantees 0.5 ms one-way latency, so the feasibility of ULL services is higher than in previous mobile communications. However, this feasibility ensures performance at the radio access network level and requires an innovative 5G network architecture for end-to-end ULL across the entire 5G system. Hence, we survey in detailed two the 3rd Generation Partnership Party (3GPP) standardization activities to ensure low latency at network level. 3GPP standardizes mobile edge computing (MEC), a low-latency solution at the edge network, in Release 15/16 and is standardizing time-sensitive communication in Release 16/17 for interworking 5G systems and IEEE 802.1 time-sensitive networking (TSN), a next-generation industry technology for ensuring low/deterministic latency. We developed a 5G system based on 3GPP Release 15 to support MEC with a potential sub-10 ms end-to-end latency in the edge network. In the near future, to provide ULL services in the external network of a 5G system, we suggest a 5G-IEEE TSN interworking system based on 3GPP Release 16/17 that meets an end-to-end latency of 2 ms.

• 인터넷정보학회논문지
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• 제22권5호
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• pp.27-33
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• 2021

With the broad adoption of the Internet of Things (IoT) in a variety of scenarios and application services, management and orchestration entities require upgrading the traditional architecture and develop intelligent models with ultra-reliable methods. In a heterogeneous network environment, mission-critical IoT applications are significant to consider. With erroneous priorities and high failure rates, catastrophic losses in terms of human lives, great business assets, and privacy leakage will occur in emergent scenarios. In this paper, an efficient resource slicing scheme for optimizing federated learning in software-defined IoT (SDIoT) is proposed. The decentralized support vector regression (SVR) based controllers predict the IoT slices via packet inspection data during peak hour central congestion to achieve a time-sensitive condition. In off-peak hour intervals, a centralized deep neural networks (DNN) model is used within computation-intensive aspects on fine-grained slicing and remodified decentralized controller outputs. With known slice and prioritization, federated learning communications iteratively process through the adjusted resources by virtual network functions forwarding graph (VNFFG) descriptor set up in software-defined networking (SDN) and network functions virtualization (NFV) enabled architecture. To demonstrate the theoretical approach, Mininet emulator was conducted to evaluate between reference and proposed schemes by capturing the key Quality of Service (QoS) performance metrics.