• Title/Summary/Keyword: 5G Network

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Rectangular Microstrip Patch Antenna with Semicircular Structure for 5G Applications (5G 응용을 위한 반원형 구조를 가진 사각형 마이크로스트립 패치 안테나)

  • Kim, Yeong-Jin;Maharjan, Janam;Choi, Dong-You
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.10
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    • pp.1269-1274
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    • 2019
  • The paper presents a design of simple four-element microstrip-patch array antenna that is suitable for 5G applications. The proposed array consists of four rectangular microstrip patch elements with semicircular etches made on both sides of each elements. The antenna is fed using the combination of series and corporate feeding networks. The size of the ground is also changed to improve the antenna frequency. Finally, yagi elements are also added to improve the directive gain of the antenna. The presented microstrip patch array is able to achieve wide frequency bandwidth of 21.95-31.86 GHz. The antenna has also attained gain of 9.7 dB at 28 GHz and has maintained high gain and high directivity throughout the frequency band. The proposed array antenna fed by series-corporate feeding network, with low profile and simple structure is a good candidate for 5G applications.

A Novel Mobility Management Scheme for Time Sensitive Communications in 5G-TSN

  • Kim, Jae-Hyun
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.10
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    • pp.105-113
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    • 2022
  • In this paper, we present and analyze 5G system and IEEE time-sensitive networking(TSN) and propose a novel mobility management scheme for time sensitive communications in 5G-TSN to support ultra-low latency networks. Time-sensitive networking(TSN) has a promising future in the Industrial Automation and Industrial Internet of Things(IIoT), as a key technology that is able to provide low-latency, high-reliable and deterministic communications over the Ethernet. When a TSN capable UE moves the TSN service coverage from the non-TSN service coverage, the UE cannot get the TSN service promptly because the related mobility management is not performed appropriately. For the mobility situation with the TSN service coverage, the proposed scheme reports TSN capability to the network and triggers the initial registration in order to be provided the TSN service immediately and ultra-low latency communications compared to existing schemes in 5G mobile networks.

5G based Smart Railway Communication Technology Trends (5G 기반 스마트 철도 통신 기술 동향)

  • Kim, Young-dong;Kim, Jongki;Lee, Sanghak;Park, Eunkyung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.05a
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    • pp.478-480
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    • 2022
  • Smart Railway as a next generation railway technology is expected to have rapid evolution with developments of information and communications tehchology. Especially, smart railway will be progressed more evolved transportation means for railway operation and costomer service based with spread of commercial 5G communication. So, it is very important to investigate and analyze trends of smart railway related tehcnology of 5G mobile communication for samrt railway infra structure, server technolgy for AI, big data, deep learning, information security technology, sensor and IoT. In this paper, 5G based communicaion technology and application techology related smart railway is described and trends of new techlogy on this communication tehnology is investigated. The results of this study can be used for smart railway study and implementation, research and development for smart railway communicaion technology, etc.

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The Impact of The User's Social Characteristics of 5G Services on The Intention of Use (중국 5G 서비스의 사용자 사회적 특성이 사용의도에 미치는 영향)

  • Nie, Xin-Yu;Qing, Cheng-lin
    • Journal of Digital Convergence
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    • v.20 no.3
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    • pp.63-68
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    • 2022
  • This After the debut of 5G, our lives have changed a lot. In particular, the proliferation of wireless network services through smartphones and LTE has completely changed the existing mobile communication services that are limited to voice/text communication between individuals and individuals, and new innovative services have emerged in all aspects of personal and corporate activities. This study verified the relationship between the social characteristics of 5G services and users' willingness to use 5G services. It analyzed the influence relationship between independent variables (social reality, subjective norms), media variables (perceived usefulness) and dependent variables (use intention), set hypotheses, and identified the media effects of perceived usefulness. The measurement items of variables are defined, and the research model of 5G service usage intention is designed. A questionnaire survey was conducted on the measurement items for users who have experience in using 5G services. Based on this result, among the social factors of users of 5G services, social reality and subjective norms are suitable factors to improve users' intentions. And through this research we put forward the enlightenment, discussed the limitations of the research and future research directions.

Interference Aware Fractional Frequency Reuse using Dynamic User Classification in Ultra-Dense HetNets

  • Ban, Ilhak;Kim, Se-Jin
    • Journal of Internet Computing and Services
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    • v.22 no.5
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    • pp.1-8
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    • 2021
  • Small-cells in heterogeneous networks are one of the important technologies to increase the coverage and capacity in 5G cellular networks. However, due to the randomly arranged small-cells, co-tier and cross-tier interference increase, deteriorating the system performance of the network. In order to manage the interference, some channel management methods use fractional frequency reuse(FFR) that divides the cell coverage into the inner region(IR) and outer region(OR) based on the distance from the macro base station(MBS). However, since it is impossible to properly measure the distance in the method with FFR, we propose a new interference aware FFR(IA-FFR) method to enhance the system performance. That is, the proposed IA-FFR method divides the MUEs and SBSs into the IR and OR groups based on the signal to interference plus noise ratio(SINR) of macro user equipments(MUEs) and received signals strength of small-cell base stations(SBSs) from the MBS, respectively, and then dynamically assigns subchannels to MUEs and small-cell user equipments. As a result, the proposed IA-FFR method outperforms other methods in terms of the system capacity and outage probability.

A Study on Metaphor Characteristics of Social Network Service (소셜 네트워크 서비스의 은유적 특성 연구)

  • Han, Hye-Won;Moon, ARum
    • Journal of Digital Contents Society
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    • v.15 no.5
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    • pp.621-630
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    • 2014
  • The purpose of this study is to extract metaphor characteristics of Social Network Service. Social Network Service is different from existing media only available in one-way communication, each individual expands opinion by sharing daily life and opinion directly and interpreting another user's post. This Study premise that the reason of converting from passive reader to active enunciator is the metaphor characteristics of Social Network Service by 'Source Domain' and 'Target Domain'. In addition, this study examines the meaning of structure user's text production and interpreting based triple mimesis of Paul Ricoeur. This study has significance as arguing with existing study on SNS as metonymic media and suggesting metaphor characteristics and meaning of Social Network Service.

A supervised-learning-based spatial performance prediction framework for heterogeneous communication networks

  • Mukherjee, Shubhabrata;Choi, Taesang;Islam, Md Tajul;Choi, Baek-Young;Beard, Cory;Won, Seuck Ho;Song, Sejun
    • ETRI Journal
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    • v.42 no.5
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    • pp.686-699
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    • 2020
  • In this paper, we propose a supervised-learning-based spatial performance prediction (SLPP) framework for next-generation heterogeneous communication networks (HCNs). Adaptive asset placement, dynamic resource allocation, and load balancing are critical network functions in an HCN to ensure seamless network management and enhance service quality. Although many existing systems use measurement data to react to network performance changes, it is highly beneficial to perform accurate performance prediction for different systems to support various network functions. Recent advancements in complex statistical algorithms and computational efficiency have made machine-learning ubiquitous for accurate data-based prediction. A robust network performance prediction framework for optimizing performance and resource utilization through a linear discriminant analysis-based prediction approach has been proposed in this paper. Comparison results with different machine-learning techniques on real-world data demonstrate that SLPP provides superior accuracy and computational efficiency for both stationary and mobile user conditions.

Technical Trends of Small Cell Base Stations for LTE (LTE 기반 소형셀 기지국 기술동향)

  • Na, J.H.;Kim, K.S.;Kim, D.S.;Chung, H.K.
    • Electronics and Telecommunications Trends
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    • v.30 no.1
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    • pp.102-113
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    • 2015
  • 급증하는 모바일 트래픽 용량에 대처하고 사용자의 QoS(Quality of Service)를 만족시킬 수 있는 기술 중 하나로 단위면적당 용량 증대에 기여할 수 있는 소형셀 기술이 부각되고 있다. 소형셀 기지국 기술은 3G, 4G 이동통신시스템에서는 셀의 소형화를 통한 용량 증대, 음영지역 해소를 위하여 사용되고 있으며, 5G 이동통신에서는 보다 밀집한 셀의 구성 및 셀 소형화를 통한 용량증대 기술로 UDN(Ultra Dense Network) 분야와 연계되어 연구 중이다. 본고에서는 소형셀 기지국 주요 기술분석을 통하여 상용 소형셀 기지국의 개발 접근방법을 제시하고, 소형셀 표준화 동향을 통한 소형셀 기지국 진화방향을 알아본다. 또한, 소형셀 기지국 기술 시장 동향분석으로 국내 및 글로벌 시장의 규모를 파악하여 향후 5G 이동통신에서의 소형셀 기술의 나아가야 하는 방향을 제시하고자 한다.

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Potential of L1 and L2 Corpora to Identify Target Lexical Bundles for Argumentative Essay Writing

  • Ryo Sawaguchi
    • Asia Pacific Journal of Corpus Research
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    • v.5 no.1
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    • pp.1-21
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    • 2024
  • This study aimed to identify target lexical bundles (e.g., on the other hand, at the same time) for argumentative essay writing and rank them in order of teaching priority for Japanese learners. Despite significant functional roles of lexical bundles in academic writing, the inclusion of lexical bundles in argumentative writing had been underexplored. Since argumentative writing skills help undergraduate students prepare for their academic careers (e.g., writing papers), the lexical bundles under this genre deserve more attention. This study first extracted 78 target bundles from L1 argumentative essay corpora (International Corpus Network of Asian Learners of English: ICNALE and Louvain Corpus of Native English Essays: LOCNESS). The study then classified the bundles according to their discourse functions and semantic transparency to estimate the learnability for Japanese learners in L2 compatible corpora with the ICNALE. The results showed that learners had difficulty using the bundles with referential functions (e.g., in the form of) and semantic opaqueness (e.g., when it comes to), suggesting that the bundles in these two categories should be prioritized among the 78 bundles.

A Network Processor-based In-Line Mode Intrusion Detection System for High-Speed Networks (고속 망에 적합한 네트워크 프로세서 기반 인-라인 모드 침입탐지 시스템)

  • 강구홍;김익균;장종수
    • Journal of KIISE:Information Networking
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    • v.31 no.4
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    • pp.363-374
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    • 2004
  • In this paper, we propose an in-line mode NIDS using network processors(NPs) that achieve performance comparable to ASIC and flexibility comparable to general-purpose processors. Even if many networking applications using NPs have been proposed, we cannot find any NP applications to NIDS in the literature. The proposed NIDS supports packet payload inspection detecting attacks, as well as packet filtering and traffic metering. In particular, we separate the filtering and metering functions from the complicated and time-consuming operations of the deep packet inspection function using two-level searching scheme, thus we can improve the performance, stability, and scalability of In-line mode system. We also implement a proto-type based on a PC platform and the Agere PayloadPlus (APP) 2.5G NP solution, and present a payload inspection algorithm to apply APP NP.