• 한국정보통신설비학회:학술대회논문집
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• 한국정보통신설비학회 2006년도 하계학술대회
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• pp.43-46
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• 2006

IEEE 802.16 WirelessMAN aiming to broadband wireless access (BWA) is evolving to 4G mobile communication system through the standardization of IEEE 802.16e supporting mobility on existing fixed WirelessMAN system. It is necessary for hand-over to provide seamless data service while MS (Mobile Station) moves to another BS (Base Station). Because the performance of handover affects packet loss or delay of any communications, it must consider low latency handover mechanism in packet based network. In this paper, we describes handover scheme of IEEE 802.16e with the cell edge interference problem and shows the way to solve the problem in frequency reuse one deployment. Our scheme reduces the handover latency and packet loss probability.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2004년도 ICEIC The International Conference on Electronics Informations and Communications
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• pp.165-169
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• 2004

This paper proposes a packet-based channel access scheme in Distributed-Queuing Request Update Multiple Access(DQRUMA) MAC(Media Access Control) protocol. To increase a channel access ratio, we eliminate the wait-to-transmit state that does not transmit Xmt_Req(Transmission Request) although the mobile terminal(MS) has new arrival packets in buffer.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제6권12호
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• pp.3166-3181
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• 2012

Localization of mobile station (MS) has now gained considerable attention. Since the hybrid measurements can help to improve the positioning accuracy, several hybrid localization methods have been proposed in the literature. However, the high performance estimator with the closed-form solution and complete performance analysis for time-of-arrival/signal strength (TOA/SS) localization technique is still an opening issue. Two TOA/SS localization algorithms with the closed-form solutions are proposed for the cases with or without uncertainty in the positions of base stations. Furthermore, performance analysis for the TOA/SS localization technique is presented. Both the theoretical variances and Cramer-Rao lower bounds (CRLBs) are derived and the relationship between the cases with or without uncertainty is given. The paper also proves that the TOA/SS scheme has a lower CRLB than the TOA (or SS) scheme. Theoretical analysis and simulations show that the proposed method can reach its CRLB.

• International journal of advanced smart convergence
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• 제13권2호
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• pp.16-24
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• 2024

With an increase in the relevance of next-generation integrated networking environments, the need to effectively utilize advanced networking techniques also increases. Specifically, integrating Software-Defined Networking (SDN) with Multi-access Edge Computing (MEC) is critical for enhancing network flexibility and addressing challenges such as security vulnerabilities and complex network management. SDN enhances operational flexibility by separating the control and data planes, introducing management complexities. This paper proposes a reinforcement learning-based network path optimization strategy within SDN environments to maximize performance, minimize latency, and optimize resource usage in MEC settings. The proposed Enhanced Proximal Policy Optimization (PPO)-based scheme effectively selects optimal routing paths in dynamic conditions, reducing average delay times to about 60 ms and lowering energy consumption. As the proposed method outperforms conventional schemes, it poses significant practical applications.

• 한국통신학회논문지
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• 제36권1B호
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• pp.21-28
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• 2011

본 논문에서는 IEEE 802.16e 기반의 펨토셀 환경에서 이동단말이 매크로셀에서 펨토셀로 핸드오버를 수행할 때 발생하는 긴 스캐닝 지연 시간과 큰 배터리 소요를 줄이고자 한다. IEEE 802.16e 시스템에서는 이동단말이 핸드오버를 수행할 때 인접한 기지국들을 스캐닝 해서 적절한 후보 기지국들을 선정하는데, 펨토셀이 도입되면 인접한 펨토셀의 수만큼 추가적으로 스캐닝 동작을 수행하여야 한다. 따라서 이동단말의 스캐닝 지연 시간 몇 배터리 소모가 증가하는 문제가 발생한다. 이러한 문제를 해결하기 위해 본 논문에서는 삼각 측위법과 펨토셀의 모니터링 메커니즘을 이용하여 이동단말의 위치로부터 가장 근접한 하나의 펨토셀을 찾는 방안을 제안한다. 이동단말은 선정된 하나의 펨토셀에 대해서만 스캐닝 동작을 수행하기 때문에 스캐닝 지연 시간 및 배터리 소모를 줄일 수 있다. 시뮬레이션을 통해 제 안 방안으로 동작할 경우 실제 이동단말의 위치에서 가장 근접한 펨토셀을 찾을 수 있는 확률이 높음을 확인하였으며 스캐닝 대상 펨토셀을 줄임으로써 기존 방안보다 스캐닝 지연 시간이 현저히 줄어들었음을 확인하였다.

• Environmental Analysis Health and Toxicology
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• 제29권
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• pp.18.1-18.9
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• 2014

Objectives The purpose of this study was to determine a separation method for each arsenic metabolite in urine by using a high performance liquid chromatography (HPLC)-inductively coupled plasma-mass spectrometer (ICP-MS). Methods Separation of the arsenic metabolites was conducted in urine by using a polymeric anion-exchange (Hamilton PRP X-100, $4.6mm{\times}150mm$, $5{\mu}m$) column on Agilent Technologies 1260 Infinity LC system coupled to Agilent Technologies 7700 series ICP/MS equipment using argon as the plasma gas. Results All five important arsenic metabolites in urine were separated within 16 minutes in the order of arsenobetaine, arsenite, dimethylarsinate, monomethylarsonate and arsenate with detection limits ranging from 0.15 to $0.27{\mu}g/L$ ($40{\mu}L$ injection). We used G-EQUAS No. 52, the German external quality assessment scheme and standard reference material 2669, National Institute of Standard and Technology, to validate our analyses. Conclusions The method for separation of arsenic metabolites in urine was established by using HPLC-ICP-MS. This method contributes to the evaluation of arsenic exposure, health effect assessment and other bio-monitoring studies for arsenic exposure in South Korea.

• 한국통신학회논문지
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• 제34권4B호
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• pp.319-328
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• 2009

IEEE 802.16e 표준에서는 이동 단말의 제한된 에너지를 효율적으로 관리하기 위하여 서비스의 종류에 따라 서로 다른 수면모드 작동기법을 정의하고 있다. 기존의 수면모드 작동기법에 대한 연구는 이동 단말이 하나의 서비스를 받는 환경으로 제한되어 있으므로, 여러 서비스를 동시에 받을 경우 서로 다른 수면모드 작동기법을 동시에 적용하여 실제로 에너지를 절약하는 구간을 크게 감소시킨다. 본 논문에서 제안하는 에너지 절약 기법은 이동 단말이 여러 서비스를 동시에 받는 환경에서 실제로 에너지를 절약하는 구간을 증가시킴으로써, 에너지 소모를 최소화하고 기존과 비슷한 수준의 QoS(Quality of Services)를 보장한다. 향후 IEEE 802.16e 시스템에서 이동 단말의 제한된 배터리 수명을 증가시키면서 QoS를 보장하고 싶을 경우, 본 논문에서 제안한 에너지 절약 기법이 유용하게 사용될 수 있을 것이다.

• Journal of Communications and Networks
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• 제16권2호
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• pp.238-244
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• 2014

A key technical challenge in TV white spaces is the efficient spectrum usage without interfering with primary users. This paper considers available spectrum discovery scheme using in-band sensing signal to support super Wi-Fi services effectively. The proposed scheme in this paper adopts non-contiguous orthogonal frequency-division multiplexing (NC-OFDM) to utilize the fragmented channel in TV white space due to microphones while this channel cannot be used in IEEE 802.11af. The proposed solution is a novel available spectrum discovery scheme by exploiting the advantages of a sensing signaling. The proposed method achieves considerable improvement in throughput and delay time. The proposed method can use more subcarriers for transmission by applying NC-OFDM in contrast with the conventional IEEE 802.11af standard. Moreover, the increased number of wireless microphones (WMs) hardly affects the throughput of the proposed method because our proposal only excludes some subcarriers used by WMs. Additionally, the proposed method can cut discovery time down to under 10 ms because it can find available channels in real time by exchanging sensing signal without interference to the WM.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권10호
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• pp.4214-4230
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• 2020

This paper introduces a pilot allocation scheme for massive MIMO systems based on deep convolutional neural network (CNN) learning. This work is an extension of a prior work on the basic deep learning framework of the pilot assignment problem, the application of which to a high-user density nature is difficult owing to the factorial increase in both input features and output layers. To solve this problem, by adopting the advantages of CNN in learning image data, we design input features that represent users' locations in all the cells as image data with a two-dimensional fixed-size matrix. Furthermore, using a sorting mechanism for applying proper rule, we construct output layers with a linear space complexity according to the number of users. We also develop a theoretical framework for the network capacity model of the massive MIMO systems and apply it to the training process. Finally, we implement the proposed deep CNN-based pilot assignment scheme using a commercial vanilla CNN, which takes into account shift invariant characteristics. Through extensive simulation, we demonstrate that the proposed work realizes about a 98% theoretical upper-bound performance and an elapsed time of 0.842 ms with low complexity in the case of a high-user-density condition.

• ETRI Journal
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• 제37권5호
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• pp.929-939
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• 2015

Ultra-high-frequency radio-frequency identification (UHF RFID) is widely applied in different industries. The Frame Slotted ALOHA in EPC C1G2 suffers severe collisions that limit the efficiency of tag recognition. An efficient full-duplex anti-collision scheme is proposed to reduce the rate of collision by coordinating the transmitting process of CDMA UWB uplink and UHF downlink. The relevant mathematical models are built to analyze the performance of the proposed scheme. Through simulation, some important findings are gained. The maximum number of identified tags in one slot is g/e (g is the number of PN codes and e is Euler's constant) when the number of tags is equal to mg (m is the number of slots). Unlike the Frame Slotted ALOHA, even if the frame size is small and the number of tags is large, there aren't too many collisions if the number of PN codes is large enough. Our approach with 7-bit Gold codes, 15-bit Gold codes, or 31-bit Gold codes operates 1.4 times, 1.7 times, or 3 times faster than the CDMA Slotted ALOHA, respectively, and 14.5 times, 16.2 times, or 18.5 times faster than the EPC C1 G2 system, respectively. More than 2,000 tags can be processed within 300 ms in our approach.