• 제목/요약/키워드: Spectrum Requirement

검색결과 103건 처리시간 0.025초

IEEE 802.22 WRAN 시스템에서 확신 벡터를 이용한 협력 센싱 (Collaborative Sensing using Confidence Vector in IEEE 802.22 WRAN System)

  • 임선민;정회윤;송명선
    • 한국통신학회논문지
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    • 제34권8A호
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    • pp.633-639
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    • 2009
  • IEEE 802.22 WRAN의 사용을 위해서는 TV 대역의 스펙트럼 센싱이 필수적이다. 그러나 WRAN의 센싱 요구조건을 만족하기 위해서는 긴 휴지 시간이 필요하고 쉐도윙 등의 환경적인 요인에 의해 기면허 사용자를 검출하지 못하는 문제점을 가지고 있다. 이러한 문제를 극복하기 위해 협력 센싱을 통해 각 CPE의 센싱 요구 조건을 완화시키거나 스펙트럼 센싱의 신뢰성을 높인다. 일반적으로 협력 센싱은 k-out-of-N 규칙이 단순한 계산으로 인해 많이 사용된다. 그러나 이 방식의 경우 각 CPE의 SNR의 차이가 많은 경우 협력 센싱을 통해 얻은 센싱 성능이 가장 좋은 SNR을 가지는 CPE의 검출 성능보다 나쁘게 나타난다. 이러한 문제점을 해결하기 위해서 각 노드의 SNR올 반영하여 데이터 퓨전을 수행하는 방법들이 제안되는데 본 논문에서는 새로운 확신 벡터를 이용한 데이터 퓨젼 방식을 제안하였으며 전산 모의 실험 결과 제안된 방식이 기존 방식보다 검출 성능이 개선된 것으로 나타났다.

간섭을 고려한 무선 LAN 주파수 소요량 예측 (Spectrum Requirements Prediction for WLAN Considering Frequency Interference)

  • 장병준;박덕규;윤현구
    • 한국전자파학회논문지
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    • 제23권8호
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    • pp.900-908
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    • 2012
  • 최근 스마트폰의 등장에 따른 무선 트래픽 증가에 효율적으로 대처하기 위해서는 능동적인 주파수 정책이 필요하다. 이에 이동통신 주파수 소요량 예측과 함께 미래에 요구되는 무선 LAN 주파수 소요량을 예측할 필요가 있다. 미래에 요구되는 무선 LAN의 주파수 소요량은 미래의 무선 LAN 트래픽을 예측하고, 이를 무선 LAN의 시스템 효율로 나눔으로써 계산된다. 본 논문에서는 기존에 전통적인 무선 LAN 트래픽 예측법과 함께 이동통신으로부터 offloading하는 스마트폰 트래픽을 고려한 새로운 무선 LAN 트래픽 예측법을 제안하였다. 또한, AP의 증가에 따른 주파수 간섭 효과를 통계적으로 모델링하여 무선 LAN의 시스템 효율 계산 시 적용함으로써 실제 환경에 근접한 무선 LAN 주파수 소요량을 예측할 수 있도록 하였다. 예측된 주파수 소요량을 바탕으로 미래의 무선 LAN 활성화에 대비하여 AP간 간섭을 최소화할 수 있는 정책 방향을 제안하였다.

Simulation method of ground motion matching for multiple targets and effects of fitting parameter variation on the distribution of PGD

  • Wang, Shaoqing;Yu, Ruifang;Li, Xiaojun;Lv, Hongshan
    • Earthquakes and Structures
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    • 제16권5호
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    • pp.563-573
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    • 2019
  • When generating spectrum-compatible artificial ground motion in engineering practices, the effect of the variation in fitting parameters on the distribution of the peak ground displacement (PGD) has not yet drawn enough attention. In this study, a method for simulating ground motion matching for multiple targets is developed. In this method, a frequency-dependent amplitude envelope function with statistical parameters is introduced to simulate the nonstationarity of the frequency in earthquake ground motion. Then, several groups of time-history acceleration with different temporal and spectral nonstationarities were generated to analyze the effect of nonstationary parameter variations on the distribution of PGD. The following conclusions are drawn from the results: (1) In the simulation of spectrum-compatible artificial ground motion, if the acceleration time-history is generated with random initial phases, the corresponding PGD distribution is quite discrete and an uncertain number of PGD values lower than the limit value are observed. Nevertheless, the mean values of PGD always meet the requirement in every group. (2) If the nonstationary frequencies of the ground motion are taken into account when fitting the target spectrum, the corresponding PGD values will increase. A correlation analysis shows that the change in the mean and the dispersion values, from before the frequencies are controlled to after, correlates with the modal parameters of the predominant frequencies. (3) Extending the maximum period of the target spectrum will increase the corresponding PGD value and, simultaneously, decrease the PGD dispersion. Finally, in order to control the PGD effectively, the ground motion simulation method suggested in this study was revised to target a specified PGD. This novel method can generate ground motion that satisfies not only the required precision of the target spectrum, peak ground acceleration (PGA), and nonstationarity characteristics of the ground motion but also meets the required limit of the PGD, improving engineering practices.

Resource Allocation for D2D Communication in Cellular Networks Based on Stochastic Geometry and Graph-coloring Theory

  • Xu, Fangmin;Zou, Pengkai;Wang, Haiquan;Cao, Haiyan;Fang, Xin;Hu, Zhirui
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제14권12호
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    • pp.4946-4960
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    • 2020
  • In a device-to-device (D2D) underlaid cellular network, there exist two types of co-channel interference. One type is inter-layer interference caused by spectrum reuse between D2D transmitters and cellular users (CUEs). Another type is intra-layer interference caused by spectrum sharing among D2D pairs. To mitigate the inter-layer interference, we first derive the interference limited area (ILA) to protect the coverage probability of cellular users by modeling D2D users' location as a Poisson point process, where a D2D transmitter is allowed to reuse the spectrum of the CUE only if the D2D transmitter is outside the ILA of the CUE. To coordinate the intra-layer interference, the spectrum sharing criterion of D2D pairs is derived based on the (signal-to-interference ratio) SIR requirement of D2D communication. Based on this criterion, D2D pairs are allowed to share the spectrum when one D2D pair is far from another sufficiently. Furthermore, to maximize the energy efficiency of the system, a resource allocation scheme is proposed according to weighted graph coloring theory and the proposed ILA restriction. Simulation results show that our proposed scheme provides significant performance gains over the conventional scheme and the random allocation scheme.

Artifical Neural Network for In-Vitro Thrombosis Detection of Mechanical Valve

  • Lee, Hyuk-Soo;Lee, Sang-Hoon
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1998년도 The Third Asian Fuzzy Systems Symposium
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    • pp.762-766
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    • 1998
  • Mechanical valve is one of the most widely used implantable artificial organs, Since its failure (mechanical failures and thrombosis to name two representative example) means the death of patient, its reliability is very important and early noninvasive detection is essential requirement . This paper will explain the method to detect the thrombosis formation by spectral analysis and neural network. In order quantitatively to distinguish peak of a normal valve from that of a thrombotic valve, a 3 layer backpropagation neural network, which contains 7,000 input nodes, 20 hidden layer and 1output , was employed. The trained neural network can distinguish normal and thrombotic valve with a probability that is higher than 90% . In conclusion, the acoustical spectrum analysis coupled with a neural network algorithm lent itself to the noninvasive monitoring of implanted mechanical valves. This method will be applied to be applied to the performance evaluation of other implantable rtificial organs.

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네트워크 통신장비의 진동 해석 (Vibration Analysis of Network Communication Equipment)

  • 이재환;김진섭;김영중
    • 한국전산구조공학회:학술대회논문집
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    • 한국전산구조공학회 2006년도 정기 학술대회 논문집
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    • pp.467-472
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    • 2006
  • The purpose of this paper is to check the structural safety of the network equipments by performing the static and dynamic finite element analysis. The stress and displacement of structures under static loading condition are evaluated to check whether satisfying the design requirement conditions. Since the computed natural frequencies are similar to the results of experiment. the model could be used for the response spectrum analysis where experimental acceleration value at each frequency are used as seismic input excitation. It is shown that the analysis results are a little bit larger than that of the experimental values. Also sensitivity analysis and optimization for the natural frequency are performed and it is found that the first natural frequency is very sensitive to the stiffness of the equipment.

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다수의 2차원 단층영상으로부터 3차원 영상을 합성하기 위한 Angular 스펙트럼의 적용 (On the application of angular spectrum for synthesizing a 3-D image from a series of 2-D images)

  • 양훈기;이상이;김은수
    • 한국통신학회논문지
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    • 제21권7호
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    • pp.1668-1676
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    • 1996
  • This paper presents the evaluation of an angular spectrum-based method used to calculate scattering pattern of a three-dimensional object modelled as a collection composed of vertical sectional two-dimensional images. This is done via comparing a proposed method with two existing methods, i.e., a Fresnel hologram method and a ray-tracing method, in terms of computatioal complexities and reconstructed results. Maathematical derivations for each methods are reviewed and implementing procedures are described in detail, along with the amount of computaions required from the implementation point of view, rather than from the mathematical point of view. We show simulation results in which the Fresnel holoram method dose not exhibit promising results although it requires the least computation. Moreover, it is also shown that the proposed method, even with much less computational requirement than the ray-tracing method, produces good performances asmuch as the ray-tracing method does.

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Interference-limited Resource Allocation Algorithm in Cognitive Heterogeneous Networks

  • Zhuang, Ling;Yin, Yaohu;Guan, Juan;Ma, Xiao
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제12권4호
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    • pp.1471-1488
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    • 2018
  • Interference mitigation is a significant issue in the cognitive heterogeneous networks, this paper studied how to reduce the interference to macrocell users (MU) and improve system throughput. Establish the interference model with imperfect spectrum sensing by analyzing the source of interference complexity. Based on the user topology, the optimize problem was built to maximize the downlink throughput under given interference constraint and the total power constraint. We decompose the resource allocation problem into subcarrier allocation and power allocation. In the subcarrier assignment step, the allocated number of subcarriers satisfies the requirement of the femtocell users (FU).Then, we designed the power allocation algorithm based on the Lagrange multiplier method and the improved water filling method. Simulation results and performance analyses show that the proposed algorithm causes less interference to MU than the algorithm without considering imperfect spectrum sensing, and the system achieves better throughput performance.

TETRA-TRS의 ITU-R M.2033 기반 국내 재난안전 무선통신망 주파수 소요량 산출 (Spectrum Requirement Estimation for Korean Wireless Communication Network of Public Protection and Disaster Relief Based on ITU-R M.2033 in TETRA-TRS)

  • 이순화;김장복
    • 한국통신학회논문지
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    • 제37A권10호
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    • pp.858-864
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    • 2012
  • 국내에서도 효율적이고 체계적인 재난대응을 위해 정부는 국가차원의 재난안전무선통신망을 2015년까지 구축할 예정이다. 이를 위해 행정안전부가 재난용 신규 주파수 지정을 요청함에 따라 방송통신위원회에서는 TETRA와 WiBro 기술방식을 대상으로 주파수 할당 여부에 대해 검토하고 있다. 따라서 본 논문에서는 ITU-R M.2033에서 권고한 주파수 산출 방법론을 기반으로 하여 국내 재난안전무선통신망을 위한 기술적 파라미터를 정의하고 TETRA-TRS에서 요구되는 주파수 소요량을 산출하였다.

한국어 단독 숫자음 인식을 위한 DTW 알고리즘의 비교 (Comparison of the Dynamic Time Warping Algorithm for Spoken Korean Isolated Digits Recognition)

  • 홍진우;김순협
    • 한국음향학회지
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    • 제3권1호
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    • pp.25-35
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    • 1984
  • This paper analysis the Dynamic Time Warping algorithms for time normalization of speech pattern and discusses the Dynamic Programming algorithm for spoken Korean isolated digits recognition. In the DP matching, feature vectors of the reference and test pattern are consisted of first three formant frequencies extracted by power spectrum density estimation algorithm of the ARMA model. The major differences in the various DTW algorithms include the global path constrains, the local continuity constraints on the path, and the distance weighting/normalization used to give the overall minimum distance. The performance criterias to evaluate these DP algorithms are memory requirement, speed of implementation, and recognition accuracy.

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