• Journal of IKEEE
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• v.22 no.1
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• pp.216-222
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• 2018

Long-range wireless power transmission technology goes beyond mere cell phones and small appliances, and is the core technology of 4'th industrial revolution such as robot, electric car, and IoT sensor network. In this paper, we will explore the evolution of long-range wireless power transmission technologies that have already become commercially available, with rapid advances in technology, beyond the traditional short-range technology that has become technologically common. Through this, it is intended to check the domestic research level and progress by identifying core technologies and technical challenge.

• 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.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.11
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• pp.4595-4610
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• 2020

In the practical communication environment, the accurate channel state information (CSI) is difficult to obtain, which will cause the mismatch of resource and degrade the system performance. In this paper, to account for the channel uncertainties, a robust power allocation scheme for a downlink Non-orthogonal multiple access (NOMA) heterogeneous network (HetNet) is designed to maximize energy efficiency (EE), which can ensure the quality of service (QoS) of users. We conduct the robust optimization model based on worse-case method, in which the channel gains belong to certain ellipsoid sets. To solve the non-convex non-liner optimization, we transform the optimization problem via Dinkelbach method and sequential convex programming, and the power allocation of small cell users (SCUs) is achieved by Lagrange dual approach. Finally, we analysis the convergence performance of proposed scheme. The simulation results demonstrate that the proposed algorithm can improve total EE of SCUs, and has a fast convergence performance.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.83-86
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• 2021

비디오 컨텐츠 사용이 증가하면서, 사용자가 요구한 파일을 제시간 안에 전달하는 문제가 중요해졌다. 사용자와 가까운 곳에 파일을 캐싱해 두고 필요할 때 다운받으면 파일을 보다 빨리 전달할 수 있는데 사용자가 움직일 경우 이동성을 고려해야 한다. 본 논문에서는 사용자의 이동 경로와 파일의 인기도를 함께 고려해 딜레이드 오프로딩(delayed offloading) 스키마를 적용한 환경에서 마이크로 기지국(micro base station, MBS)에서 다운받는 데이터 크기를 최소로 만들어 비용을 최소화 하는 캐싱 기법을 제안한다. 실험을 통해 타알고리즘에 비해 MBS 로부터 다운받는 양을 줄이고 스몰 셀 기지국(small cell base station, SBS)에서 다운받을 성공 확률을 높이는데 효과가 있다는 것을 보였다.

• IMMUNE NETWORK
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• v.5 no.1
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• pp.23-29
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• 2005

Background: Interleukin-7 receptor (IL-7R) ${\alpha}$-deficient mice have small numbers of B cells and ${\alpha}{\beta}$T cells in periphery, they totally lack ${\gamma}{\delta}$T cells. In addition, the V-J recombination and transcription of TCR ${\gamma}$ genes is also severely impaired in IL-7R ${\alpha}$-deficient mice. Stat5, a signaling molecule of the IL-7R, induces germline transcription in the TCR ${\gamma}$ locus, and promotes V-J recombination and ${\gamma}{\delta}$T cell development. However, the roles for IL-7R signaling pathway in thymic or extrathymic ${\gamma}{\delta}$T cell development are largely unknown. Methods: To clarify the role of the IL-7 receptor in proliferation and survival of ${\gamma}{\delta}$T cells, we introduced the TCR ${\gamma}{\delta}$ transgene, $V_{{\gamma}2}/V{\delta}_5$, into IL-7R ${\alpha}$-deficient mice, and investigated the development of ${\gamma}{\delta}$T cells. Results: We found that $V_{{\gamma}2}/V{\delta}_5$ transgene restored ${\gamma}{\delta}$T cells in the epithelium of the small intestine (IEL) but not in the thymus and the spleen. Further addition of a bcl-2 transgene resulted in partial recovery of ${\gamma}{\delta}$T cells in the thymus and the spleen of these mice. Conclusion: Taken together, this study revealed that the IL-7R ${\alpha}$ is indispensable for proliferation and survival mainly in thymic ${\gamma}{\delta}$T cell development.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.9 no.6
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• pp.136-150
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• 2010

Due to the effect of indoor coverage problem, the QoS of the indoor users will be degraded dramatically, with the number of indoor users. The femto cell is a popular solution for such problems. Since the price of the femto base station is usually cheap enough, one can sets up huge number of base stations in a small indoor area to reduce the size of communication cell. In this way, the QoS of the indoor users can be improved significantly. Moreover, the data rate can also be increased. However, how to decide an ideal transmitting power according to the surrounding radio environment is not a trivial problem, that still has not been addressed well. If the transmit power of femto base station is too large, the interference to the macro users will be increased. Conversely, if the transmit power of femto base station is too small; the coverage of femto base station will be reduced. To address this problem, we propose a power configuration method in femto base station using Genetic Algorithm by investigating a new fitness function. Furthermore, we adopt the weighted sum approach to improve the user performance in different modes. The simulation results show that the proposed power configuration method can not only improves the downlink SINR, but also enhance the channel capacity for both the Macro cell systems and Femto cell systems compared with some conventional methods.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.24 no.9A
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• pp.1285-1294
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• 1999

In this paper we consider the performance of TCP video traffic over ABR with Long-Range Dependent VBR traffic. As compressed coded video traffics are increasing rapidly over Internet, lots of studies are being done for transmitting those traffics efficiently using limited network resources. We consider here the transmitting video service over ABR service in ATM networks, especially satellite networks. CBR or VBR services are suggested in transmitting the video traffic in ATM Forum TM 4.0. But ABR service connection, which is considered as appropriate service for data traffic, can be established with a small amount of bandwidth, MCR (Minimum cell rate). Furthermore ABR service can control the source's transmitting rate using feedback mechanism. Using this feature ABR service can be used in some applications which can control their quality of services corresponding to network loads. Compressed video sources with MPEG-2 are used for Long-Range Dependent VBR traffic here. We model the compressed video source to resemble the MPEG-2 transport streams. These compressed video traffic streams are consisted of three different frames, I-frame, P-frame, and B-frame. So when a network are overloaded, we can control the quality of service using this traffic features. TCP Traffics over ABR need large buffers in ATM switch to satisfy their QoS with background VBR traffics, which have high deviations in bandwidth. Furthermore satellite ATM networks with large feedback delay need large buffers corresponding RTT delay. The performance comparisons among EFCI and ER switch (ERICA+) switches in the network circumstances described above were shown in this paper. We also considered the case with ON-OFF VBR traffics.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.10
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• pp.1517-1524
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• 2022

In this paper, we consider a heterogeneous network (HetNet) consisting of one macro base station and multiple small base stations, and assume the coordinated multi-point transmission between the base stations. In addition, we assume that the channel between the base station and the user consists of path loss and Rayleigh fading. Under these assumptions, we present the energy efficiency (EE) achievable by the user for a given base station and we formulate an optimization problem of dynamic cell selection and transmit power allocation to maximize the total EE of the HetNet. In this paper, we propose an unsupervised deep learning method to solve the optimization problem. The proposed deep learning-based scheme can provide high EE while having low complexity compared to the conventional iterative convergence methods. Through the simulation, we show that the proposed dynamic cell selection scheme provides higher EE performance than the maximum signal-to-interference-plus-noise ratio scheme and the Lagrangian dual decomposition scheme, and the proposed transmit power allocation scheme provides the similar performance to the trust region interior point method which can achieve the maximum EE.

• Journal of KIISE:Computer Systems and Theory
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• v.26 no.8
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• pp.930-938
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• 1999

미래의 통합 이동 통신망은 멀티미디어 데이터 서비스를 하기 위해 작은 셀로 망이 구성될 것이다. 셀이 작은 경우, 이동 호스트의 셀간 이동이 상대적으로 증가해서 잦은 핸드오프 처리로 서비스 중단이 빈번히 발생할 수 있을 뿐만 아니라 자원의 낭비도 많아지게 된다. 따라서 이런 문제를 해결하기 위해 이동 호스트의 이동성을 예측해서 멀티캐스트 연결을 구성해서 사전 핸드오프 처리를 하는 SGMH방법을 제안한다. SGMH방법의 성능 평가를 위해 핸드오프 처리과정의 데이터 및 제어 정보의 흐름을 분석하고, 망 종속 인자들을 도입해서 버퍼 오버헤드와 서비스 중단 시간 면에서 기존 핸드오프 방법들과 비교했다. 비교 분석한 결과는 제안한 방법이 기존의 방법보다 기지국에서의 버퍼 오버헤드뿐만 아니라 서비스 중단 시간을 줄일 수 있음을 보였다.Abstract For mobile multimedia data services, future mobile communication networks will consist of small cells. In case of smaller cell size, the number of user movements between cells will increase and more network resources will be consumed for processing frequent handoffs. This processing delay will cause frequent connection service disruptions. To solve these problems, a multicast-based handoff method ,called SGMH(Sub-Group Multicast-based Handoff), is suggested. SGMH method estimates future movements of mobile hosts and setups a dynamic multicast connection tree for procesing handoffs. For performance evaluation, we represent flows of data and control messages as timing diagrams and introduce several network related factors. In terms of buffer overhead and service disruption time we compared the SGMH method to other methods. The results show that SGMH method has better performance in that it can reduce consumption of network resources and minimize service disruption time.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.10 no.3
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• pp.419-429
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• 1999

Identifying the boundary of the effective receiving power of waves is one of the most important factors for cell optimization. In this paper, we introduce a propagation loss prediction model which yields highly accurate prediction in very complex areas as Seoul where a mixture of many large buildings, small buildings, broad streets, narrow alleys, rivers and forests co-exist in an irregular arrangement. This prediction model is based on neural networks trained on field measurement data collected in the past. Using these data along with 3-D digital elevation maps and vector data for building structures, we extract the parameter values which mainly affect the amount of propagation loss. These parameter values are then used as the inputs to the neural network. Trained neural network becomes the approximated function of the propagation loss model which generalizes very well and can predict accurately in the regions not included in training the neural network. The experimental results show a superior performance over the other models in the cells operating in the city of Seoul.