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On the Spatial Predictability of Communication Channels
TLDR
We propose a probabilistic channel prediction framework for predicting the spatial variations of a wireless channel, based on a small number of measurements. Expand
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Estimation of communication signal strength in robotic networks
TLDR
We proposed a model-based channel estimation approach, in which we used a multi-scale probabilistic model in order to characterize the channel and develop an estimator based on this model. Expand
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Channel Feasibility for Outdoor Non-Line-of-Sight mmWave Mobile Communication
TLDR
We show that a wide beam width, low gain antenna at the mobile receiver can capture more energy in scattered non-line-of-sight environments and thus, can provide more gain than a narrow beam, high gain antenna. Expand
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Binary Consensus Over Fading Channels
TLDR
In this paper, we consider a cooperative network that is trying to reach consensus on the occurrence of an event, by communicating over time-varying network topologies with fast fading channels. Expand
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Binary Consensus for Cooperative Spectrum Sensing in Cognitive Radio Networks
TLDR
In this paper, we propose to use binary consensus algorithms for distributed cooperative spectrum sensing in cog-nitive radio networks. Expand
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Binary Consensus over Fading Channels: A Best Affine Estimation Approach
TLDR
We characterize the impact of fading on network consensus by upper bounding the second largest eigenvalue of the underlying probability transition matrix in fading environments. Expand
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Non-uniform sampling based on an adaptive level-crossing scheme
TLDR
We propose adaptive and multi-level adaptive LC sampling models as alternatives to conventional LC schemes and apply an iterative algorithm to improve the reconstruction quality of LC A/D converters. Expand
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Performance improvement of level-crossing A/D converters
TLDR
We use an iterative method to drastically improve the performance of level crossing (LC) analog-to-digital converters and propose alternative adaptive and multi-level adaptive schemes. Expand
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Distributed and Adaptive Optimization of LTE-TDD Configuration Based on UE Traffic Type
TLDR
We consider an LTE network, where each eNodeB in the network has backhaul links, i.e. X2 interfaces, only with its immediate neighboring eNodeBs. Expand
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An integrated sparsity and model-based probabilistic framework for estimating the spatial variations of communication channels
TLDR
We consider estimating the spatial variations of a wireless channel, based on a small number of measurements. Expand
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