• 한국군사과학기술학회지
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• 제24권3호
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• pp.317-327
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• 2021

Low Frequency Active Sonobuoy(hereinafter referred to as LFAS) are being developed in Korea in consideration of compatibility with existing overseas sonobuoys, and a communication device for acoustic signals receiving and operating control of LFAS has been developed. The communication device needs to verify compatibility with the existing Sonobuoy, and for this purpose, the standardized Sonobuoy communication protocol was applied. The communication device is designed/manufactured to transmit the acoustic signal received in real time from the Sonobuoy through VHF band RF communication to the data processing device, and transmit CFS/CSG commands for operation control to the Sonobuoy through UHF band RF communication. In order to verify the manufactured communication device, the communication status and performance were verified by interlocking test through Ultra Electronics' PASS-II equipment and domestically developed electronic device of Sonobuoy. In addition, operability was verified through environmental tests, water tanks, and marine operations. In the future, the communication device of sonobuoy can be used for verification of the Sonobuoy developed in Korea.

• 한국정보전자통신기술학회논문지
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• 제7권4호
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• pp.159-167
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• 2014

Local device-to-device (D2D) communication between two smart mobile devices is becoming increasingly popular. The first key step in starting a D2D communication is to discover and identify the remote target device to establish a link. However, existing device discovery mechanisms either require users to explicitly identify the ID of the target device or rely on inaccurate beamforming technology. This paper presents two novel device identification algorithms using a variety of embedded sensors. The algorithms only require that users to point two devices towards each other. This paper describes the algorithms, analyzes their accuracy using analytical models, and verifies the results using simulations.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.1963-1967
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• 2003

Communication device to use slight movement for serious disabled is proposed. This device is developed mainly for patients suffering from ALS or a cerebral infarction. They often have communication difficulty because of deterioration of muscular functions. Features of this device are that the device is wearable on the user’s body and that it detects the movement of eyebrow. Because of these features, it is quite easy to install the sensor on the patient’s body, not like the conventional sensors. Furthermore, an adaptive communication software is incorporated. A feature of this software is that the arrangement and size of the button and window on the display can be optimized depending on the user's physical ability. In the field test it is confirmed that the communication device developed in this study is successfully helped the people with disability for increasing their communication ability.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2004년도 ICCAS
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• pp.1634-1637
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• 2004

We developed a communication device for person with serious disability to use slight movement. This device is developed mainly for patients suffering from ALS or a cerebral infarction. They often have communication difficulty because of deterioration of muscle functions. A feature of this device is that slight movements of user's finger, eyes or lips can be detected by using a vision sensor. Due to the features of the vision sensor, it is quite easy even for person with serious disability to use a communication device. By the field test it is confirmed that the vision sensors have superior performances as an input device for communication device. Experiments to use an EMG (electromyography) sensor and a rotary sensor are also tested to compare the performances.

• 한국IT서비스학회지
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• 제13권1호
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• pp.125-134
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• 2014

Device discovery for D2D (device-to-device) communication enables a device to discover other devices in order to initiate communication with them. Devices should perform the discovery phase using a small quantity of radio resource in a short time and be able to reduce the load of the base station. Legacy device discovery schemes have focused on discovering as many target devices as possible. However, it is not appropriate for peer-to-peer D2D communication scenario. Further, synchronization problems are an important issue for discovery signal transmission. This paper proposes a discovery method that one requesting device discovers a specific target for communication. Multiple antenna beamforming is employed for the synchronization between the base station and a target device. The proposal can reduce the load of the base station using the information that it already maintains and improve the reliability of the device discovery because two times of synchronizations using beamforming among the base station and devices can make the exact discovery of a target device with mobility possible.

• Journal of Multimedia Information System
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• 제3권4호
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• pp.135-140
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• 2016

To improve the throughput of Device-to-Device (D2D) communication, we focus on the scenario where D2D pair can reuse multi-channel of cellular communication. However, as sharing same channel with cellular communication can cause interference between D2D communication and cellular communication, a proper interference management is needed. In this paper, we propose interference-based channel allocation to select the channels to be used by D2D communication and a solution from game theory perspective to optimize the D2D communication throughput under multi-channel as well as guarantee the interference from it to cellular network. The simulation results verify the stability of the proposed method.

• 한국IT서비스학회지
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• 제11권2호
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• pp.339-353
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• 2012

Mobile communication technology is advancing forward to deliver more connected devices and richer content and applications. The number of subscriptions continues to grow along with an explosive increase in the mobile data traffic demand. Thereby, it creates a significant network capacity shortage concerns for mobile network operators. In order to address this problem, it is essential to increase the network capacity at a low additional cost. The device-to-device (D2D) communication based proximity service is believed to have a promising future mobile communication technology that is capable to create new mobile service opportunities and offload traffic to the eNB. In addition, it is also required to develop new mobile communication services and its business models not only to accommodate the increasing mobile traffic demand but also to foster profitability of mobile business service providers such as the network providers, contents providers and platform providers. In this article, we first analyze current mobile business eco-system in the context of CPNT based value chain. Then, propose service development framework and business model creation methodologies for the device-to-device communication based services in the beyond LTE/LTE-Advanced systems.

• 한국통신학회논문지
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• 제38A권10호
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• pp.893-897
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• 2013

최근 스마트 모바일 기기의 급증으로 데이터 트래픽이 증가하여, 이를 완화시킬 수 있는 기기간 직접통신에 관한 관심이 점점 높아지고 있다. 기존의 기기간 직접통신 기술에서의 통신 대상 기기를 인식하는 방법은 리스트형식으로 통신 가능 기기를 나열하는 방식으로, 사용자 친화적인 인터페이스를 지니고 있지 않다. 본 논문에서는 이를 해결하기 위해 위치정보에 기반하여 직접통신 대상 기기를 식별하는 알고리즘을 제안하고, 정립한 분석 모델을 통해 알고리즘의 정확도를 분석하였으며, 시뮬레이션을 통해 확인하였다. 제안하는 알고리즘은 기존보다 대상 기기선정이 간단하고 직관적인 방식으로, 좀 더 편리하고 실용적인 통신 방식을 제공하는데 기여할 수 있을 것이다.

• 한국컴퓨터정보학회논문지
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• 제9권3호
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• pp.7-11
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• 2004

이동 통신 기기의 발달과 확산에 따라 이동 통신을 이용한 인터넷의 사용의 요구가 증가하고 있다. 따라서 인터넷을 이동 통신기기에 적용하는 새로운 서비스가 요구되고 있다. 이에 많은 이동 통신 장치들을 위한 새로운 방법의 인터넷 접근 기술을 연구하고 있으며 WML과 WAP을 이용한 이동 통신 장치와 인터넷과의 연결이 모색되고 있다. 그러나 이동 통신 장치의 작은 디스플레이는 인터넷 사용에 제약점이 있다. 이에 본 논문에서는 음성 지원을 지원하는 WML 브라우져를 설계하여 제약점을 극복하고자 한다.

• 한국정보통신학회논문지
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• 제24권11호
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• pp.1500-1506
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• 2020

본 논문에서는 오버레이 단말 간 직접 (Device-to-Device : D2D) 통신 네트워크를 위한 강화학습 기반 스케쥴링 문제를 연구한다. 강화학습 모델 중 하나인 Q-learning을 이용한 D2D 통신 기술들이 연구되었지만, Q-learning은 상태와 행동의 개수가 증가함에 따라서 높은 복잡도를 유발한다. 이러한 문제를 해결하기 위하여 Deep Q Network (DQN) 기반 D2D 통신 기술들이 연구되었다. 본 논문에서는 무선 통신 시스템 특성을 고려한 DQN 모델을 디자인하고, 피드백 및 시그널링 오버헤드를 줄일 수 있는 DQN 기반 분산적 스케쥴링 방식을 제안한다. 제안 방식은 중앙집중식으로 변수들을 학습시키고, 최종 학습된 파라미터를 모든 단말들에게 전달한다. 모든 단말들은 최종 학습된 파라미터를 이용하여 각자의 행동을 개별적으로 결정한다. 제안 방식의 성능을 컴퓨터 시뮬레이션을 통하여 분석하고, 최적방식, 기회주의적 선택 방식, 전체 전송 방식과 비교한다.