아동작품 : 식목일

강영명 어린이재단 (구 한국복지재단) 1977 동광 Vol.71 No.-

파워제어를 통한 Message In Message 기반의 동시전송

강영명,김종권 한국정보과학회 2012 정보과학회논문지 : 정보통신 Vol.39 No.4

기존의 무선 랜카드의 경우 두 개 이상의 신호가 동시에 전송된 경우 수신하고자 하는 신호가 간섭신호의 preamble 시간 안에 도착하면 물리계층의 캡쳐효과(PHY layer capture effect)를 통해 성공적으로 수신이 가능하였다. 이와는 달리 Message In Message기능을 구현한 최신 무선 랜카드의 경우 향상된 preamble 탐지 기술을 바탕으로 의도한 신호가 간섭신호의 preamble시간보다 늦게 도착해도 높은 SINR값을 가지면 캡쳐(capture)할 수 있게 되었다. 본 논문에서는 파워제어를 통한 MIM기반의 동시전송 가능성을 확인하기 위해 수학적 모델을 제시하고 그에 따른 결과를 분석하였다. 실내 및 외부 환경에 다양한 토폴로지를 대상으로 분석한 결과 대부분의 경우 파워제어를 통한 동시전송이 가능할 수 있음을 확인할 수 있었다. Previous wireless NICs (Network Interface Card) enable the PHY capture when the intended signal arrives within the preamble time of an interference signal. Meanwhile, modern Message in Message-capable NICs can capture the intended signal with higher SINR even when the intended signal arrives after the preamble time of an interference signal. In this paper, we proposed a mathematical model to demonstrate the feasibility of power control for enabling the MIM-aware concurrent transmissions and analyzed the results. Analyzing the numerical results with various topologies in both indoor and outdoor environments, we verified that power control is feasible for supporting the MIM-aware concurrent transmissions in most cases.

기계학습을 활용한 이종망에서의 Wi-Fi 성능 개선 연구 동향 분석

강영명 아이씨티플랫폼학회 2022 JOURNAL OF PLATFORM TECHNOLOGY Vol.10 No.3

Machine learning, which has recently innovatively developed, has become an important technology that can solve various optimization problems. In this paper, we introduce the latest research papers that solve the problem of channel sharing in heterogeneous networks using machine learning, analyze the characteristics of mainstream approaches, and present a guide to future research directions. Existing studies have generally adopted Q-learning since it supports fast learning both on online and offline environment. On the contrary, conventional studies have either not considered various coexistence scenarios or lacked consideration for the location of machine learning controllers that can have a significant impact on network performance. One of the powerful ways to overcome these disadvantages is to selectively use a machine learning algorithm according to changes in network environment based on the logical network architecture for machine learning proposed by ITU.

MIM 적용을 통한 IoT 기반 무선 센서 네트워크 성능 최대화 방안

강영명,Kang, Young-myoung 중소기업융합학회 2020 융합정보논문지 Vol.10 No.11

Wireless sensor nodes adopting the advanced preamble detection function, Message-In-Mesage (MIM), maximize the concurrent transmission opportunities due to the capture effect, result in improving the system performance significantly compared to the legacy IEEE 802.15.4 based sensor devices. In this paper, we propose an MIM capture probability model to analyze the performance gains by applying the MIM function to the wireless sensor nodes. We implemented the IEEE 802.15.4 and MIM by Python and performed extensive simulations to verify the performance gains through MIM capture effects. The evaluation results show that the MIM sensors achieve 34% system throughput gains and 31% transmission delay gains over the legacy IEEE 802.15.4-based sensors, which confirm that it was consistent with the analysis result of the proposed MIM capture probability model.

대형산불과 IT융합기술

강영명,김종덕 텔코경영연구원 2022 텔코경영연구원 연구총서 Vol.116 No.-

MIMO 링크 스케줄링 최적화

강영명 한국지식정보기술학회 2020 한국지식정보기술학회 논문지 Vol.15 No.5

In conventional communication systems, throughput optimization problems have been mainly dealt with in terms of protocol designs such as routing, scheduling, and encoding/decoding efficiency. However a new optimization solution has been required and widely studied for complex multivariate systems such as multi-hop MIMO networks. Cross-layer optimization has been introduced as the basic framework for the theoretical solutions to improve the network performance, and there has been a plethora of approaches to extend the cross-layer optimization processes to the multi-hop MIMO networks. Contrary to the legacy SISO, if the cross-layer optimization is applied to MIMO networks without appropriate variables reduction, the computation complexity increases exponentially. Linking the physical layer operations of MU-MIMO to other layer features such as MAC scheduling may cause a tremendous computational overhead. The problem itself has characteristics that cannot be easily expressed in LP, and even if expressed in LP, numerous variables presented in the system prevent a practical optimization. The purpose of this paper is to solve the problem of minimum length scheduling that satisfies a given traffic demand in a multi-hop MIMO network with a cross-layer optimization scheme. The solution we proposed is to devise an optimized scheduling algorithm based on LP decomposition through column generation. Through various mathematical analysis and test results, we have confirmed that the proposed method greatly improves the system performance significantly.

프리앰블 탐지 성능의 차이를 고려한 효율적인 무선 센서 네트워크 디자인

강영명 한국컴퓨터정보학회 2020 한국컴퓨터정보학회논문지 Vol.25 No.11

This paper proposes a method of applying an advanced preamble detection technology to wireless sensor nodes and analyzes the trade-off relationship between throughput and fairness that may occur when sensor nodes equipped with the MIM function compete with the legacy IEEE 802.15.4 sensors. Sensor nodes employing the MIM capability have more chances of concurrent transmissions than the legacy IEEE 802.15.4-based sensor nodes, resulting in gains in terms of throughput, whereas the transmission opportunities of 802.15.4 sensor nodes might be limited due to the additional simultaneous transmissions of the MIM sensor nodes. The extensive evaluation results performed under a test environment built using Python program with reflecting the setting value of a commercial sensor node shows MIM sensor nodes outperform up to 40% over the legacy 802.11 sensors. Meanwhile, it was confirmed that a balance can be achieved in terms of throughput and fairness by properly adjusting the concurrent transmission threshold. 본 논문에서는 진보된 프리앰블 탐지 기술인 MIM을 무선 센서 노드에 적용하는 방안을 제시한다. 또한 MIM 기능을 탑재한 센서 노드들이 IEEE 802.15.4 방식의 센서와 경쟁할 경우 발생할 수 있는처리량과 공정성 사이의 트레이드오프 관계를 분석한다. MIM 센서들은 IEEE 802.15.4 기반의 센서에비해 추가적인 동시전송 기회를 가져 처리량 측면에서 이득이 생기는 반면 IEEE 802.15.4 방식의 센서노드들은 MIM 센서 노드들의 동시다발적인 추가 전송으로 인해 전송 기회를 제한받는다. 성능 평가를위해 파이썬으로 시험환경을 구축하고 상용 센서 노드의 설정값을 반영하여 모의시험을 수행한 결과MIM을 적용한 경우 최대 40% 수준의 처리량 향상을 확인하였다. 한편 동시전송 임계값을 적절히 조절함으로써 처리량과 공정성 측면에서 균형을 맞출 수 있음을 확인하였다.

스파이킹 신경망 기술과 공학적 응용

강영명 ( Young-myoung Kang ) 텔코경영연구원 2023 텔코 저널 Vol.11 No.0

In addition to deep neural networks, which have made great progress in performance and efficiency in recent years, spiking neural networks, which reflect the characteristics of human biological neurons, have been attracting attention as an alternative to effectively solve complex problems in the real world. This article provides an overview of the concept of spikes, the principle of operation, neural codes, and training techniques for spiking neural networks. Next, we describe the theoretical background of how sparsity and static suppression techniques, which are key characteristics of spiking neural networks, support the low-power behavior of neuromorphic hardware. Finally, we present various engineering applications of spiking neural networks, including robotics and open-source software frameworks, and discuss emerging research topics in the application of spiking neural networks to communication protocols.

6G 통신망에서 비지상 네트워크의 역할과 발전 방향

강영명(Young-myoung Kang) 한국정보통신학회 2025 한국정보통신학회논문지 Vol.29 No.5

IEEE 802.15.4 센서 노드에 적용한 메시지인메시지 기법을 통한 에너지 효율적 데이터 전송

강영명(Young-Myoung Kang) 한국정보기술학회 2020 한국정보기술학회논문지 Vol.18 No.11