Bilgisayar Mühendisliği Bölümü Koleksiyonu

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Browsing Bilgisayar Mühendisliği Bölümü Koleksiyonu by Author "Bai, Kai"

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    Citation Count: 1
    Outage Diversity for Distributed Estimation over Parallel Fading Channels
    (IEEE, 2008) Şenol, Habib; Tepedelenlioğlu, Cihan; Şenol, Habib
    In this paper we study the outage diversity in distributed estimation over parallel fading channels. We find tight upper and lower bounds on the diversity order and show that they are arbitrarily close under certain conditions. Our results show that the diversity order does not always equal to the number of sensors but also depends on sensing quality of the sensors.
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    Citation Count: 7
    Outage Scaling Laws and Diversity for Distributed Estimation Over Parallel Fading Channels
    (IEEE, 2009) Şenol, Habib; Şenol, Habib; Tepedelenlioğlu, Cihan
    We consider scaling laws of the outage for distributed estimation problems over fading channels with respect to the total power and the number of sensors. Using a definition of diversity which involves a fixed number of sensors we find tight upper and lower bounds on diversity which are shown to depend on the sensing (measurement) signal-to-noise ratios (SNRs) of the sensors. Our results indicate that the diversity order can be smaller than the number of sensors and adding new sensors might not add to the diversity order depending on the sensing SNR of the added sensor. We treat a large class of envelope distributions for the wireless channel including those appropriate for line of sight scenarios. Finally we consider fixed power per sensor with an asymptotically large number of sensors and show that the outage decays faster than exponentially in the number of sensors.
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    Scaling Laws For Distributed Estimation Over Orthogonal Fading Channels
    (IEEE, 2009) Şenol, Habib; Tepedelenlioğlu, Cihan; Bai, Kai
    We analyze the outage for distributed estimation over orthogonal fading channels as a function of the number of sensors K. We consider a scenario of fixed power per-sensor with an asymptotically large number of sensors. We characterize the scaling law of the outage and show that the outage decays faster than exponentially in the number of sensors and slower than exp(-K log K).