• 제목/요약/키워드: Stochastic channel modeling

검색결과 14건 처리시간 0.023초

Stochastic Petri Nets Modeling Methods of Channel Allocation in Wireless Networks

  • Ro, Cheul-Woo;Kim, Kyung-Min
    • International Journal of Contents
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    • 제4권3호
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    • pp.20-28
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    • 2008
  • To obtain realistic performance measures for wireless networks, one should consider changes in performance due to failure related behavior. In performability analysis, simultaneous consideration is given to both pure performance and performance with failure measures. SRN is an extension of stochastic Petri nets and provides compact modeling facilities for system analysis. In this paper, a new methodology to model and analyze performability based on stochastic reward nets (SRN) is presented. Composite performance and availability SRN models for wireless handoff schemes are developed and then these models are decomposed hierarchically. The SRN models can yield measures of interest such as blocking and dropping probabilities. These measures are expressed in terms of the expected values of reward rate functions for SRNs. Numerical results show the accuracy of the hierarchical model. The key contribution of this paper constitutes the Petri nets modeling techniques instead of complicate numerical analysis of Markov chains and easy way of performance analysis for channel allocation under SRN reward concepts.

Stochastic Channel Modeling for Railway Tunnel Scenarios at 25 GHz

  • He, Danping;Ai, Bo;Guan, Ke;Zhong, Zhangdui;Hui, Bing;Kim, Junhyeong;Chung, Heesang;Kim, Ilgyu
    • ETRI Journal
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    • 제40권1호
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    • pp.39-50
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    • 2018
  • More people prefer using rail traffic for travel or for commuting owing to its convenience and flexibility. The railway scenario has become an important communication scenario in the fifth generation era. The communication system should be designed to support high-data-rate demands with seamless connectivity at a high mobility. In this paper, the channel characteristics are studied and modeled for the railway tunnel scenario with straight and curved route shapes. On the basis of measurements using the "Mobile Hotspot Network" system, a three-dimensional ray tracer (RT) is calibrated and validated for the target scenarios. More channel characteristics are explored via RT simulations at 25.25 GHz with a 500-MHz bandwidth. The key channel parameters are extracted, provided, and incorporated into a 3rd-Generation-Partnership-Project-like stochastic channel generator. The necessary channel information can be practically realized, which can support the link-level and system-level design of the communication system in similar scenarios.

Picocell 시스템의 보행자 통화량 모델링 및 분석 (Traffic Modeling and Analysis for Pedestrians in Picocell Systems Using Random Walk Model)

  • 이기동;장근녕;김세헌
    • 대한산업공학회지
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    • 제29권2호
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    • pp.135-144
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    • 2003
  • Traffic performance in a microcellular system is much more affected by cell dwell time and channel holding time in each cell. Cell dwell time of a call is characterized by its mobility pattern, i.e., stochastic changes of moving speed and direction. Cell dwell time provides important information for other analyses on traffic performance such as channel holding time, handover rate, and the average number of handovers per call. In the next generation mobile communication system, the cell size is expected to be much smaller than that of current one to accommodate the increase of user demand and to achieve high bandwidth utilization. As the cell size gets small, traffic performance is much more affected by variable mobility of users, especially by that of pedestrians. In previous work, analytical models are based on simple probability models. They provide sufficient accuracy in a simple second-generation cellular system. However, the role of them is becoming invalid in a picocellular environment where there are rapid change of network traffic conditions and highly random mobility of pedestrians. Unlike in previous work, we propose an improved probability model evolved from so-called Random walk model in order to mathematically formulate variable mobility of pedestrians and analyze the traffic performance. With our model, we can figure out variable characteristics of pedestrian mobility with stochastic correlation. The above-mentioned traffic performance measures are analyzed using our model.

추계적 페트리 네트를 이용한 무선망에서의 호 수락 제어 기법 (A Call Admission Control Technique of Wireless Networks using Stochastic Petri Nets)

  • 노철우
    • 한국콘텐츠학회논문지
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    • 제3권4호
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    • pp.55-62
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    • 2003
  • 본 논문에서는 무선망에서 핸드오프 호의 분실확률을 줄일 수 있는 호 제어 기법을 제안한다. 제안한 기법은 진행 중인 시스템 용량인 유효로드와 임계치를 이용하여 호의 수락 여부를 결정하며 측정된 유효로드가 미리 정해진 임계치보다 크면 신규 호는 차단시키고, 핸드오프 호는 큐잉을 허용한다. 호 수락 제어 기법의 성능분석을 위하여 추계적 페트리 네트의 확장인 SRN 모델이 개발된다. SRN 모델링 기법은 성능분석을 위하여 필요한 마르코프 체인의 복잡한 해석적 분석대신 보상 개념에 의한 손쉬운 성능분석 수행방법을 보여준다.

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멀티미디어 이동 통신 시스템의 채널 할당을 위한 페트리 네트 모델링과 성능분석 (Petri Nets Modelling and Performance Analysis of Multimedia Mobile Communication Systems for Channel Allocations)

  • 노철우;최재승
    • 한국멀티미디어학회논문지
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    • 제5권6호
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    • pp.704-711
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    • 2002
  • 멀티미디어 이동 통신 시스템은 음성 교환 및 패킷 교환의 실시간과 비실시간의 세 종류 서비스 클래스에 의해 특징지어 진다. 셀에서의 무선 채널은 이들 서로 다른 서비스 클래스의 호에 할당되어 지며 서로 다른 서비스 요구사항을 만족해야 한다. SRN은 추계적 페트리 네트의 확장형으로 모델에 적절한 reward(보상)을 부여함으로써 원하는 성능지표를 쉽게 계산할 수 있는 모델링 도구이다. 본 논문에서는 멀티미디어 이동 통신 시스템의 채널할당과 성능분석을 위한 SRN 모델을 제시한다. 본 논문의 기여도는 성능분석을 위해 필요한 마르코프 체인의 복잡한 해석적 분석대신 종류별 서비스 클래스에 대한 채널할당을 수행할 수 있는 페트리 네트 모델링 기법을 제시하고 모델에서의 보상 개념에 의한 손쉬운 성능분석 수행 방법을 제시하는데 있다.

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무선망에서 패킷 재전송과 채널할당 성능분석을 위한 SRN 계층 모델링 (SRN Hierarchical Modeling for Packet Retransmission and Channel Allocation in Wireless Networks)

  • 노철우
    • 정보처리학회논문지C
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    • 제8C권1호
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    • pp.97-104
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    • 2001
  • 본 논문에서는 무선망에서 채널할당을 받은 호가 무선 패킷 데이터를 서비스하는 경우의 성능분석 수행을 위한 계층 모델을 제안한다. 제안된 계층 모델로는 상위계층으로 무선자원 관리를 위한 채널할당 모델을, 하위계층으로 에러발생을 고려한 패킷 재전송 프로토콜 모델을 고려하였으며 이들 모델은 모델링 도구인 SRN을 이용하여 각각 개발한다. 추계적 페트리 네트의 확장형인 SRN은 시스템 성능분석을 위한 간결한 모델링 기능을 제공해 주며 모델에 적절한 보상률(reward) 기능을 부여함으로써 원하는 성능지표를 구할 수 있다. 이들 두 계층간의 상호 연관된 매개변수의 값인 서비스 시간과 패킷 발생률은 고정점 반복순환(fixed-point iteration) 기법을 사용하여 구한다. 즉 상위계층의 호 서비스 시간은 한 호당 K개의 패킷전송을 완료할때 까지 소요되는 시간인 하위계층 모델의 지연시간으로 구할 수 있고, 하위계층 모델의 패킷 발사율은 상위계층의 새로운 호와 핸드오프 호의 발생률로부터 구할 수 있다.

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VIDEO TRAFFIC MODELING BASED ON $GEO^Y/G/{\infty}$ INPUT PROCESSES

  • Kang, Sang-Hyuk;Kim, Ba-Ra
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • 제12권3호
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    • pp.171-190
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    • 2008
  • With growing applications of wireless video streaming, an efficient video traffic model featuring modern high-compression techniques is more desirable than ever, because the wireless channel bandwidths are ever limited and time-varying. We propose a modeling and analysis method for video traffic by a class of stochastic processes, which we call '$GEO^Y/G/{\infty}$ input processes'. We model video traffic by $GEO^Y/G/{\infty}$ input process with gamma-distributed batch sizes Y and Weibull-like autocorrelation function. Using four real-encoded, full-length video traces including action movies, a drama, and an animation, we evaluate our modeling performance against existing model, transformed-M/G/${\infty}$ input process, which is one of most recently proposed video modeling methods in the literature. Our proposed $GEO^Y/G/{\infty}$ model is observed to consistently provide conservative performance predictions, in terms of packet loss ratio, within acceptable error at various traffic loads of interest in practical multimedia streaming systems, while the existing transformed-M/G/${\infty}$ fails. For real-time implementation of our model, we analyze G/D/1/K queueing systems with $GEO^Y/G/{\infty}$ input process to upper estimate the packet loss probabilities.

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헬리컬 채널내부의 3차원 희박기체유동 (Three-dimensional Rarefied Flows in Rotating Helical Channels)

  • 황영규;허중식
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2000년도 춘계학술대회논문집B
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    • pp.625-630
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    • 2000
  • Numerical and experimental investigations are peformed for the rarefied gas flows in pumping channels of a helical-type drag pump. Modern turbomolecular pumps include a drag stage in the discharge side, operating roughly in $10^{-2}{\sim}10Torr$. The flow occurring in the pumping channel develops from the molecular transition to slip flow traveling downstream. Two different numerical methods are used in this analysis: the first one is a continuum approach in solving the Navier-Stokes equations with slip boundary conditions, and the second one is a stochastic particle approach through the use of the direct simulation Monte Carlo(DSMC) method. The flow in a pumping channel is three-dimensional(3D), and the main difficulty in modeling a 3D case comes from the rotating frame of reference. Thus, trajectories of particles are no longer straight lines. In the Present DSMC method, trajectories of particles are calculated by integrating a system of differential equations including the Coriolis and centrifugal forces. Our study is the first instance to analyze the rarefied gas flows in rotating frame in the presence of noninertial effects.

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A three-dimensional two-hemisphere model for unmanned aerial vehicle multiple-input multiple-output channels

  • Zixu Su;Wei Chen;Changzhen Li;Junyi Yu;Guojiao Gong;Zixin Wang
    • ETRI Journal
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    • 제45권5호
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    • pp.768-780
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    • 2023
  • The application of unmanned aerial vehicles (UAVs) has recently attracted considerable interest in various areas. A three-dimensional multiple-input multiple-output concentric two-hemisphere model is proposed to characterize the scattering environment around a vehicle in an urban UAV-to-vehicle communication scenario. Multipath components of the model consisted of lineof-sight and single-bounced components. This study focused on the key parameters that determine the scatterer distribution. A time-variant process was used to analyze the nonstationarity of the proposed model. Vital statistical properties, such as the space-time-frequency correlation function, Doppler power spectral density, level-crossing rate, average fade duration, and channel capacity, were derived and analyzed. The results indicated that with an increase in the maximum scatter radius, the time correlation and level-crossing rate decreased, the frequency correlation function had a faster downward trend, and average fade duration increased. In addition, with the increase of concentration parameter, the time correlation, space correlation, and level-crossing rate increased, average fade duration decreased, and Doppler power spectral density became flatter. The proposed model was compared with current geometry-based stochastic models (GBSMs) and showed good consistency. In addition, we verified the nonstationarity in the temporal and spatial domains of the proposed model. These conclusions can be used as references in the design of more reasonable communication systems.

Modeling and SINR Analysis of Dual Connectivity in Downlink Heterogeneous Cellular Networks

  • Wang, Xianling;Xiao, Min;Zhang, Hongyi;Song, Sida
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제11권11호
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    • pp.5301-5323
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    • 2017
  • Small cell deployment offers a low-cost solution for the boosted traffic demand in heterogeneous cellular networks (HCNs). Besides improved spatial spectrum efficiency and energy efficiency, future HCNs are also featured with the trend of network architecture convergence and feasibility for flexible mobile applications. To achieve these goals, dual connectivity (DC) is playing a more and more important role to support control/user-plane splitting, which enables maintaining fixed control channel connections for reliability. In this paper, we develop a tractable framework for the downlink SINR analysis of DC assisted HCN. Based on stochastic geometry model, the data-control joint coverage probabilities under multi-frequency and single-frequency tiering are derived, which involve quick integrals and admit simple closed-forms in special cases. Monte Carlo simulations confirm the accuracy of the expressions. It is observed that the increase in mobility robustness of DC is at the price of control channel SINR degradation. This degradation severely worsens the joint coverage performance under single-frequency tiering, proving multi-frequency tiering a more feasible networking scheme to utilize the advantage of DC effectively. Moreover, the joint coverage probability can be maximized by adjusting the density ratio of small cell and macro cell eNBs under multi-frequency tiering, though changing cell association bias has little impact on the level of the maximal coverage performance.