Browsing by Author "Tepedelenlioğlu, Cihan"
Now showing items 1-7 of 7
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Distributed estimation over parallel fading channels with channel estimation error
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Publisher and Date:(IEEE, 2008)We consider distributed estimation of a source observed by sensors in additive Gaussian noise where the sensors are connected to a fusion center with unknown orthogonal (parallel) flat Rayleigh fading channels. We adopt a two-phase approach of (i) channel estimation with training and (ii) source estimation given the channel estimates where the total power is fixed. We prove that allocating half the total power into training is optimal and show that compared to the perfect channel case a performance ...
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Distributed estimation with channel estimation error over orthogonal fading channels
Authors:
Publisher and Date:(IEEE, 2007)We study distributed estimation of a source corrupted by an additive Gaussian noise and observed by sensors which are connected to a fusion center with unknown orthogonal (parallel) flat Rayleigh fading channels. The fading communication channels are estimated with training. Subsequently source estimation given the channel estimates and transmitted sensor observations is performed. We consider a setting where the estimated channels are fed-back to the sensors for optimal power allocation which ...
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Effect of the Channel Estimation Error on the Performance of the Source Estimator in a Wireless Sensor Network with Orthogonal Channels
Authors:
Publisher and Date:(IEEE, 2008)In this work effect of the channel estimation error on the MSE performance of the source estimator in a wireless sensor network with orthogonal flat fading channels is studied. A two-phase approach was employed where in the first phase the orthogonal fading channel coefficients are estimated and in the second phase channel estimates and sensor observations transmitted to fusion center are used for the source estimation. We consider a sensor network in which the channel estimates are fed-back to ...
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Optimal Power Allocation Between Training and Data for MIMO Two-Way Relay Channels
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Publisher and Date:(IEEE-INST Electrical Electronics Engineers Inc, 2015)Power allocation between training and data in MIMO two-way relay systems is proposed which takes into consideration both the symmetric and asymmetric cases of the two sources. For the former we present a closed form for the optimal ratio of data energy to total energy which is suitable for the single antenna case as well and can be simplified when the number of antennas is large. We also show that the achievable rate is a monotonically increasing function of the data time. Concerning the asymmetric ...
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Outage Diversity for Distributed Estimation over Parallel Fading Channels
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Publisher and Date:(IEEE, 2008)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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Outage Scaling Laws and Diversity for Distributed Estimation Over Parallel Fading Channels
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Publisher and Date:(IEEE, 2009)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 ...
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Scaling Laws For Distributed Estimation Over Orthogonal Fading Channels
Authors:
Publisher and Date:(IEEE, 2009)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).
