• Information and Communications Magazine
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• v.32 no.9
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• pp.17-23
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• 2015

This paper presents design methodologies for 5G architecture ensuring lower latency than 4G/LTE. Among various types of 5G use cases discussed in standardization bodies, we believe mobile broadband, massive IoT(Internet of Things) and mission-critical IoT will be the main 5G use cases. In particular, a mission-critical IoT service such as remote controlled machines and connected cars is regarded as one of the most distinguished use cases, and it is indispensable for underlying networks to support sufficiently low latency to support them. We identify three main strategic directions for end-to-end network latency reduction, namely new radio access technologies, distributed/flat network architecture, and intelligent end-to-end network orchestration.

• Electronics and Telecommunications Trends
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• v.32 no.5
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• pp.97-106
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• 2017

The introduction of new access technologies in 5G radio networks has had a considerable impact on the design of transport networks. Research activities are underway on new transport technologies in both the wireless and optical domains to support 5G transport. This paper provides an overview of the concept and requirements of a fronthaul. We also discuss the research activities of a new fronthaul interface for future 5G networks, a 5G integrated fronthaul/backhaul transport network (5G-Crosshaul), a next-generation fronthaul interface (NGFI), a mobile xhaul network (MXN), and a next-generation mobile fronthaul architecture with multi-IF carrier transmission scheme.

• Electronics and Telecommunications Trends
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• v.36 no.4
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• pp.1-12
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• 2021

The competition to lead the next generation of mobile technologies, 6G, is underway while the deployment of 5G has not been implemented worldwide. ITU-R plans to develop technical requirements and standards after completing the 6G Vision by 2023. It can be considered too early to have a concrete view of the 6G core network architecture from this timeline. However, major stakeholders have started making their presence felt by publishing their views. From updated analysis on the technology and service trends proposed, we present a list of research directions on 6G core network from several perspectives: distribution of network functions to nearer edge locations; future fixed-mobile convergence, including low earth orbit satellites; highly-precise QoS guarantee; supporting an extremely wide variety of service requirements; AI-native automation and intelligence; and aligning with the evolution of radio access network.

• Electronics and Telecommunications Trends
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• v.32 no.2
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• pp.62-70
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• 2017

5G 네트워크 기술은 4G LTE 이동 통신 기술의 후속 기술로서, ITU-R, ITU-T, NGMN, 3GPP 등의 표준화 그룹을 중심으로 고성능, 저지연, 고가용성 등의 특성을 가지는 새로운 Clean-slate 형태의 이동 통신 시스템 및 네트워크 구조를 설계 중이다. 특히 다양한 5G 융합 서비스를 효율적으로 제공하기 위해 서비스 및 네트워크 자원의 독립성 및 유연성을 지향하는 네트워크 슬라이싱을 적용하고, ETSI NFV 네트워크 기능 가상화 기술을 포함하는 네트워크 관리 구조를 도입하고자 한다. 본고에서는 5G 네트워크 슬라이싱 기술 및 5G 네트워크 관리 기술의 개념 및 요구사항을 분석하고, 이에 대해 3GPP SA WG2 및 SA WG5에서 진행 중인 표준화 현황을 소개한다.

• ETRI Journal
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• v.46 no.2
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• pp.205-217
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• 2024

We propose a bandwidth prediction approach based on deep learning. The approach is intended to accurately predict the bandwidth of various types of mobile networks. We first use a machine learning technique, namely, the gradient boosting algorithm, to recognize the connected mobile network. Second, we apply a handover detection algorithm based on network recognition to account for vertical handover that causes the bandwidth variance. Third, as the communication performance offered by 3G, 4G, and 5G networks varies, we suggest a bidirectional long short-term memory model with time distribution for bandwidth prediction per network. To increase the prediction accuracy, pretraining and fine-tuning are applied for each type of network. We use a dataset collected at University College Cork for network recognition, handover detection, and bandwidth prediction. The performance evaluation indicates that the handover detection algorithm achieves 88.5% accuracy, and the bandwidth prediction model achieves a high accuracy, with a root-mean-square error of only 2.12%.

• Journal of Broadcast Engineering
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• v.27 no.6
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• pp.914-922
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• 2022

In this paper, we construct a commercial 4K UHD(Ultra High Definition) streaming device that utilizes a 5G mobile communication network as a transport channel and conduct a streaming performance test. It uses RTP(Realtime Transport Protocol) which has transmission quality monitoring capability as a transmission protocol to apply adaptive streaming. In addition, it provides the function to adjust the encoding rate of the video signal so that encoding can be optimized for the change in the bandwidth of the transmission channel. Through the performance test, it is confirmed that the H.265 encoding rate for 4K UHD signal is 48.69Mbps, the average glass-to-glass delay time is 293.60ms, and the average time difference between video and audio for lip sync is 120ms. With the result of performance test, it is shown that the streaming device is applied to 4K UHD Streaming device over 5G mobile communication network.

• International Journal of Internet, Broadcasting and Communication
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• v.11 no.3
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• pp.8-19
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• 2019

Since their emergence in 2007, smart phones have advanced up to the point that 5G mobile communication in 2019 started to be commercialized. Accordingly, now it is possible to share 3D modeling files and collaborate by means of a mobile web. As the recently commercialized 5G mobile communication network is so useful in sharing 3D modeling files and collaborating that even large-size geometry files can be transmitted at ultra high speed with ultra low transfer delay. We examines characteristics of major 3D file formats such as STL, OBJ, FBX, and glTF and compares the existing 4G LTE (Long Term Evolution) network with the 5G NR (New Radio) mobile communication network. The loading time and packets of each format were measured depending on the mobile web browser environments. We shows that in comparison with 4G LTE, the loading time of STL and OBJ file formats were reduced as much as 6.55 sec and 9.41 sec, respectively in the 5G NR and Chrome browsers. The glTF file format showed the most efficient performance in all of the 4G/5G mobile communication networks, Chrome, and Edge browsers. In the case of STL and OBJ, the traffic was relatively excessive in 5G NR and Edge browsers. The findings of this study are expected to be utilized to develop a 3D file format that reduces the loading time in a mobile web environment.

• Journal of Digital Contents Society
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• v.19 no.4
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• pp.639-647
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• 2018

A common core network is the one of main architectural principles in 3GPP 5G System which has common interfaces with different multiple accesses. 3GPP 5G System Phase 1 (Release 15) supports Untrusted Non-3GPP access as well as 3GPP access with common interfaces. Non-3GPP Interworking Function (N3IWF) has been defined to interface with a UE and a core network for supporting Untrusted Non-3GPP access in 3GPP Release 15. However, interworking with Trusted Non-3GPP access is under study to be completed in 3GPP 5G System Phase 2 (Release 16). Therefore, this paper proposes a Trusted Non-3GPP access network architecture and related signaling procedures, and then the implementation based on the proposal shows how to interwork between Trusted Non-3GPP access and the 5G core network. In our proposal, N3IWF can interwork with either Untrusted or Trusted Non-3GPP access without any architectural modification or addition of 3GPP 5G system Phase 1.

• Electronics and Telecommunications Trends
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• v.38 no.5
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• pp.100-113
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• 2023

This study was aimed to derive implications in terms of competition to establish a reasonable spectrum policy for fifth-generation (5G) spectrum allocation through an in-depth analysis of C-band spectrum auctions. As a result of examining auctions in five countries, namely, Belgium, Sweden, Canada, Brazil, and Hong Kong, we identified various characteristics. First, the minimum bandwidth that is essential for service competition is guaranteed. Second, in Brazil, the network construction cost of mobile network operators is regarded as a part of the spectrum price. Third, a joint allocation of spectrum is permitted in Sweden, and spectrum sharing after allocation for 5G services is allowed in Canada. Finally, the reserved spectrum is provided for new service providers in Belgium and Canada. Our findings may provide insights for establishing policies of 5G spectrum allocation and competition in the telecommunications service market in Korea.

• Journal of Information Processing Systems
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• v.16 no.4
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• pp.743-749
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• 2020

Internet of Things (IoT) is a growing technology along with artificial intelligence (AI) technology. Recently, increasing cases of developing knowledge services using information collected from sensor data have been reported. Communication is required to connect the IoT and AI, and 5G mobile networks have been widely spread recently. IoT, AI services, and 5G mobile networks can be configured and used as sensor-mobile edge-server. The sensor does not send data directly to the server. Instead, the sensor sends data to the mobile edge for quick processing. Subsequently, mobile edge enables the immediate processing of data based on AI technology or by sending data to the server for processing. 5G mobile network technology is used for this data transmission. Therefore, this study examines the challenges, opportunities, and solutions used in each type of technology. To this end, this study addresses clustering, Hyperledger Fabric, data, security, machine vision, convolutional neural network, IoT technology, and resource management of 5G mobile networks.