• Title/Summary/Keyword: duration and bandwidth estimation

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An Efficient Association Control Method for Vehicular Networks with Mobile Hotspots

  • Hwang, Jae-Ryong;Choi, Jae-Hyuk;Yoo, Joon;Lee, Hwa-Ryong;Kim, Chong-Kwon
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.5 no.5
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    • pp.888-908
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    • 2011
  • The increasing demand from passengers in vehicles to improve safety, traffic efficiency, and comfort has lead to the growing interest of Wi-Fi based vehicle-to-infrastructure (V2I) communications. Although the V2I system provides fast and cost-effective Internet connectivity to vehicles via roadside Wi-Fi access points (APs), it suffers from frequent handoffs due to the high mobility of vehicles and the limited coverage of Wi-Fi APs. Recently, the Mobile AP (MAP) platform has emerged as a promising solution that overcomes the problem in the V2I systems. The main advantage is that MAPs may yield longer service duration to the nearby vehicles that have similar mobility patterns, yet they provide smaller link capacities than the roadside APs. In this paper, we present a new association control technique that harnesses available connection duration as well as achievable link bandwidth in high-speed vehicular network environments. We also analyze the tradeoff between two association metrics, namely, available connection duration and achievable link bandwidth. Extensive simulation studies based on real traces demonstrate that our scheme significantly outperforms the previous methods.

An Efficient AP Selection Strategy in Wi-Fi based Vechicle-to-Infrastructure Communications (Wi-Fi 기반의 차량과 기지국간 통신에서 효과적인 AP 선택에 관한 연구)

  • Hwang, Jae-Ryong;Lee, Hwa-Ryong;Choi, Jae-Hyuk;Yoo, Joon;Kim, Chong-Kwon
    • The KIPS Transactions:PartC
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    • v.17C no.6
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    • pp.491-498
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    • 2010
  • Wi-Fi based vehicle-to-infrastructure (V2I) communication is an emerging solution to improve the safety, traffic efficiency, and comfort of passengers. However, due to the high mobility of vehicles and the limited coverage of Wi-Fi APs, the V2I system may suffer from frequent handoffs although roadside APs can support cost effective Internet connectivity. Such problem of V2I systems can be overcome with Mobile AP (MAP) platform. The MAPs yield longer service duration by moving along with vehicles, yet they provide a lower link capacities than the roadside APs. In this paper, we propose a new association control mechanism that effectively determines whether the vehicle will select a fixed roadside-AP or a nearby MAP in mobile vehicular network environments. We consider both the achievable link bandwidth and available connection duration as a selection criterion and provide their run-time estimation method. Extensive simulation using real traces show significant performance improvements.

Implementation of TFDR system with PXI type instruments for detection and estimation of the fault on the coaxial cable (동축 케이블의 결함 측정에 있어서 PXI 타입의 계측기를 이용한 개선된 TFDR 시스템의 구현)

  • Choe, Deok-Seon;Park, Jin-Bae;Yun, Tae-Seong
    • Proceedings of the KIEE Conference
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    • 2003.11b
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    • pp.91-94
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    • 2003
  • In this paper, we achieve implementation of a Time-Frequency Domain Reflectometry(TFDR) system through comparatively low performance(100MS/s) PCI extensions for Instrumentation(PXI). The TFDR is the general methodology of Time Domain Reflectometry(TDR) and Frequency Domain Reflectometry(FDR). This methodology is robust in Gaussian noises, because the fixed frequency bandwidth is used. Moreover, the methodology can get more information of the fault by using the normalized time-frequency cross correlation function. The Arbitrary Waveform Generator(AWG) module generates the input signal, and the digital oscilloscope module acquires the input and reflected signals, while PXI controller module performs the control of the total PXI modules and execution of the main algorithm. The maximum range of measurement and the blind spot are calculated according ta variations of time duration and frequency bandwidth. On the basis of above calculations, the algorithm and the design of input signals used in the TFDR system are verified by real experiments. The correlation function is added to the TDR methodology for reduction of the blind spot in the TFDR system.

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An Efficient Network Resource Reservation Mechanism with Mobility in Nested Heterogeneous Mobile Networks (중첩 이종 무선 망 환경에서 단말의 이동 속도를 고려한 효과적인 망 자원 예약)

  • Park, In-Soo;Tak, Dong-Kuk;Kim, Won-Tae;Park, Yong-Jin
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.44 no.10
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    • pp.83-98
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    • 2007
  • The handover between different radio access networks, especially where their coverage overlaps, suffers various complications since the different access networks provide different service characteristics. One way to reduce service interruptions and QoS (i.e., bandwidth, throughput, delay) degradations during the inter-technology handover is to reserve the required resource in advance. The resource reservation algorithm should minimize the handover latency and maximize the resource utilization based on the accurate estimation on mobile's location, velocity, movement pattern and service requirements. In this paper, we propose a resource reservation algorithm based on the mobile terminal velocity and the cell selection probability, which maximizes resource utilization ana reduces network overhead. We compare the proposed algorithm with PMS(Predictive Mobility Support) and VCDS(Velocity and Call Duration Support scheme) based on 3-layer network model under various scenarios.

Low Noise Time-Frequency Analysis Algorithm for Real-Time Spectral Estimation (실시간 뇌파 특성 분석을 위한 저잡음 스펙트럼 추정 알고리즘)

  • Kim, Yeon-Su;Park, Beom-Su;Kim, Seong-Eun
    • Journal of IKEEE
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    • v.23 no.3
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    • pp.805-810
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    • 2019
  • We present a time-frequency analysis algorithm based on the multitaper method and the state-space frameworks. In general, time-frequency representations have a trade-off between the time duration and the spectral bandwidth by the uncertainty principle. To optimize the trade-off problems, the short-time Fourier transform and wavelet based algorithms have been developed. Alternatively, the authors proposed the state-space frameworks based on the multitaper method in the previous work. In this paper, we develop a real-time algorithm to estimate variances and spectrum using the state-space framework. We test our algorithm in spectral analysis of simulated data.