• 제목/요약/키워드: Network frequency

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통합 필터 변별도와 그래프 컬러링을 이용한 전술통신망 백본 무선 링크의 주파수 지정 방법 (Frequency Assignment Method using NFD and Graph Coloring for Backbone Wireless Links of Tactical Communications Network)

  • 함재현;박휘성;이은형;최증원
    • 한국군사과학기술학회지
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    • 제18권4호
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    • pp.441-450
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    • 2015
  • The tactical communications network has to be deployed rapidly at military operation area and support the communications between the military command systems and the weapon systems. For that, the frequency assignment is required for backbone wireless links of tactical communications network without frequency interferences. In this paper, we propose a frequency assignment method using net filter discrimination (NFD) and graph coloring to avoid frequency interferences. The proposed method presents frequency assignment problem of tactical communications network as vertex graph coloring problem of a weighted graph. And it makes frequency assignment sequences and assigns center frequencies to communication links according to the priority of communication links and graph coloring. The evaluation shows that this method can assign center frequencies to backbone communication links without frequency interferences. It also shows that the method can improve the frequency utilization in comparison with HTZ-warfare that is currently used by Korean Army.

FORECASTING OF FINANCIAL TIME SERIES BY A DIGITAL FILTER AND A NEURAL NETWORK

  • Saito, Susumu;Kanda, Shintaro
    • 한국시뮬레이션학회:학술대회논문집
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    • 한국시뮬레이션학회 2001년도 The Seoul International Simulation Conference
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    • pp.313-317
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    • 2001
  • The approach to predict time series without neglecting the fluctuation in a short period is tried by using a digital FIR filter and a neural network. The differential waveform of the Nikkei average closing price is filtered by the FIR band-pass filter of 101 length. It is filtered into the five frequency bands of 0-1Hz, 1-2Hz, 2-3Hz, 3-4Hz and 4-5Hz by setting the sampling frequency 10Hz. The each filtered waveform is learned and forecasted by the neural network. The neural network of the back propagation method is adopted in the learning the waveform. By inputting the data of 20 days in the past, the prediction of 10 days ahead is carried out. After learning the time series of each frequency band by the neural network, the predicted data far each frequency band are obtained. The predicted waveforms of each frequency band are synthesized to obtain a final forecast. The waveform can be forecasted well as a whole.

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주파수도약 네트워크 통신 시스템의 구조설계 및 동기성능 분석 (The Design and Performance Analysis of Synchronization on Frequency Hopping Network Communication System)

  • 임소진;배석능;한성우
    • 한국군사과학기술학회지
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    • 제16권6호
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    • pp.819-827
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    • 2013
  • Compared to legacy frequency hopping communications, future radio communications are required the secure and high data rate, ad-hoc network communication. In this paper, we have designed the network communication structure on the frequency hopping mode, and analyzed the performance of synchronization on the frequency hopping network radio systems. The design results are shown the initial sync. phase of approximately 9 hops and the traffic packet phase of approximately 30 hops. Also, we have simulated the performance on the communication conditions which are carrier bandwidth of 50kHz, user data rate of 64kbps and OQPSK modulation scheme in AWGN. In the simulation, we analyzed the correlation and the performance of synchronization success. The result of simulation show 99% probability for synchronization success at $E_b/N_o$ -4dB.

A Genetic Algorithm Approach to the Frequency Assignment Problem on VHF Network of SPIDER System

  • Kwon, O-Jeong
    • 한국국방경영분석학회지
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    • 제26권1호
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    • pp.56-69
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    • 2000
  • A frequency assignment problem on time division duplex system is considered. Republic of Korea Army (ROKA) has been establishing an infrastructure of tactical communication (SPIDER) system for next generation and it will be a core network structure of system. VHF system is the backbone network of SPIDER, that performs transmission of data such as voice, text and images. So, it is a significant problem finding the frequency assignment with no interference under very restricted resource environment. With a given arbitrary configuration of communications network, we find a feasible solution that guarantees communication without interference between sites and relay stations. We formulate a frequency assignment problem as an Integer Programming model, which has NP-hard complexity. To find the assignment results within a reasonable time, we take a genetic algorithm approach which represents the solution structure with available frequency order, and develop a genetic operation strategies. Computational result shows that the network configuration of SPIDER can be solved efficiently within a very short time.

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국내 5㎓ 대역 초고속 무선 접속망의 공유조건 연구 (A study on Conditions of Frequency Coordination for High Speed Radio Access Network in domestic 5㎓ Band)

  • 박진아;박승근;박덕규;오용선
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2000년도 추계종합학술대회
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    • pp.247-252
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    • 2000
  • 본 논문은 국내 5GHz 대역에서 초고속 무선접속 망을 위한 주파수의 분배 및 공유조건에 관한 것이다. 본 논문에서는 초고속 무선접속 망과 기존 기상 레이더 사이의 공유 가능성을 평가하기 위해서 최소결합손실(Minimum Coupling Loss) 방법과 Monte-Carlo 시뮬레이션을 이용하여 기상 레이더가 초고속 무선 접속용 기기에 미치는 전파간섭을 분석하였다. 그리고 실험 결과에 의하면 기상레이더와 초고속 무선접속 망의 주파수 공유를 위해서는 DFS(Dynamic Frequency Selection) 기법을 사용하는 것이 필수적이다.

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펌프의 작동음 주파수 분석에 의한 진단 (Diagnosis of a Pump by Frequency Analysis of Operation Sound)

  • 이신영
    • 한국공작기계학회논문집
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    • 제13권5호
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    • pp.81-86
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    • 2004
  • A fundamental study for developing a system of fault diagnosis of a pump is performed by using neural network. The acoustic signals were obtained and converted to frequency domain for normal products and artificially deformed products. The signals were obtained in various driving frequencies in order to obtain many types of data from a limited number of pumps. The acoustic data in frequency domain were managed to multiples of real driving frequency with the aim of easy comparison. The neural network model used in this study was 3-layer type composed of input, hidden, and output layer. The normalized amplitudes at the multiples of real driving frequency were chosen as units of input layer. Various sets of teach signals made from original data by eliminating some random cases were used in the training. The average errors were approximately proportional to the number of untaught data. The results showed neural network trained by acoustic signals can be used as a simple method for a detection of machine malfuction or fault diagnosis.

국내 5GHz대역 초고속 무선 접속망의 공유조건 연구 (A study on Conditions of Frequency Coordination for High Speed Radio Access Network in domestic 5GHz Band)

  • 박진아;박승근;박덕규;오용선
    • 한국정보통신학회논문지
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    • 제4권4호
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    • pp.751-758
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    • 2000
  • 본 논문은 국내 5GHz 대역에서 초고속 무선접속 망을 도입하기 위한 주파수의 분배 및 공유조건에 관한 것이다. 본 논문에서는 초고속 무선접속 망과 기존 기상 레이더 사이의 공유 가능성을 평가 하기 위해서 최소결합손실(Minimum Coupling Loss) 방법과 Monte-Carlo 시뮬레이션을 이용하여 기상 레이더가 초고속 무선 접속용 기기에 미치는 전파간섭을 분석하였다. 그리고 시뮬레이션과 실제 측정 결과에 의하면 기상 레이더와 초고속 무선접속 망의 주파수 공유를 위해서는 DFS(Dynamic Frequency Selection)기법을 사용하는 것이 필수적이라는 결론을 얻었다.

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700 MHz 대역의 국내·외 주파수 수요 분석 및 공공통합망 구축시 고려사항 (Analysis of Domestic and Foreign Frequency Demands for 700 MHz Band and Consideration for Building Public Integrated Radio Network)

  • 박덕규
    • 한국전자파학회논문지
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    • 제25권10호
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    • pp.1028-1039
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    • 2014
  • DTV 전환 후 현재 국 내외에서 여유대역으로 남아있는 700 MHz 대역을 효율적으로 사용하기 위한 주파수 분배가 진행되고 있다. 본 논문에서는 700 MHz 대역을 중심으로 국제적인 주파수 분배 및 활용현황을 조사하고, 국내에서 제기되고 있는 각 용도별 무선통신 방식과 요구 주파수 대역폭에 대하여 분석하였다. 또한, 700 MHz 대역에서 재난안전통신망을 중심으로 철도망, e-Navigation을 공공통합망으로 통합하여 구축시 고려해야할 내용을 제시하였다.

Applying Artificial Intelligence Based on Fuzzy Logic for Improved Cognitive Wireless Data Transmission: Models and Techniques

  • Ahmad AbdulQadir AlRababah
    • International Journal of Computer Science & Network Security
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    • 제23권12호
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    • pp.13-26
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    • 2023
  • Recently, the development of wireless network technologies has been advancing in several directions: increasing data transmission speed, enhancing user mobility, expanding the range of services offered, improving the utilization of the radio frequency spectrum, and enhancing the intelligence of network and subscriber equipment. In this research, a series of contradictions has emerged in the field of wireless network technologies, with the most acute being the contradiction between the growing demand for wireless communication services (on operational frequencies) and natural limitations of frequency resources, in addition to the contradiction between the expansions of the spectrum of services offered by wireless networks, increased quality requirements, and the use of traditional (outdated) management technologies. One effective method for resolving these contradictions is the application of artificial intelligence elements in wireless telecommunication systems. Thus, the development of technologies for building intelligent (cognitive) radio and cognitive wireless networks is a technological imperative of our time. The functions of artificial intelligence in prospective wireless systems and networks can be implemented in various ways. One of the modern approaches to implementing artificial intelligence functions in cognitive wireless network systems is the application of fuzzy logic and fuzzy processors. In this regard, the work focused on exploring the application of fuzzy logic in prospective cognitive wireless systems is considered relevant.

Stochastic Optimal Control and Network Co-Design for Networked Control Systems

  • Ji, Kun;Kim, Won-Jong
    • International Journal of Control, Automation, and Systems
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    • 제5권5호
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    • pp.515-525
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    • 2007
  • In this paper, we develop a co-design methodology of stochastic optimal controllers and network parameters that optimizes the overall quality of control (QoC) in networked control systems (NCSs). A new dynamic model for NCSs is provided. The relationship between the system stability and performance and the sampling frequency is investigated, and the analysis of co-design of control and network parameters is presented to determine the working range of the sampling frequency in an NCS. This optimal sampling frequency range is derived based on the system dynamics and the network characteristics such as data rate, time-delay upper bound, data-packet size, and device processing time. With the optimal sampling frequency, stochastic optimal controllers are designed to improve the overall QoC in an NCS. This co-design methodology is a useful rule of thumb to choose the network and control parameters for NCS implementation. The feasibility and effectiveness of this co-design methodology is verified experimentally by our NCS test bed, a ball magnetic-levitation (maglev) system.