Meles G. Weldegebriel

Pseudonymetry: Real-Time Interference Management System for Accountable and Cooperative Spectrum Sharing Using Embedded Watermarks

Meles G. Weldegebriel

This dissertation presents the design, analysis, and experimental validation of Pseudonymetry, a real-time interference management framework that enables accountable and cooperative spectrum sharing. By embedding lightweight watermarks into secondary-user transmissions, the proposed approach allows devices to be aware of, identify, and respond …

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Sensing and Stopping Interfering Secondary Users: Validation of an Efficient Spectrum Sharing System

Meles G. Weldegebriel, Zihan Li, Dustin Maas, Grégory Hellbourg et autres

We present the design and validation of Stoppable Secondary Use (StopSec), a privacy-preserving protocol with the capability to identify a secondary user (SU) causing interference to a primary user (PU) and to act quickly to stop the interference. All users are served …

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RFI Detection and Identification at OVRO Using Pseudonymetry

Meles G. Weldegebriel, Zihan Li, Grégory Hellbourg, Ning Zhang et autres

Protecting passive radio astronomy observatories from unintended radio-frequency interference (RFI) is increasingly challenging as wireless activity expands near protected bands. While radio quiet zones, database-driven coordination, and post-processing mitigation can reduce interference risk, they often lack the ability to attribute detected RFI …

Augmenting channel estimation via loss field: Site-trained Bayesian modeling and comparative analysis

Jie Wang, Meles G. Weldegebriel, Neal Patwari

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Watermarking of OFDM for Pseudonymetry: Analysis and Experimental Results

Meles G. Weldegebriel, Jie Wang, Greg Hellbourg, Ning Zhang et autres

This paper presents new results for pseudonymetry, a closed-loop feedback mechanism in which active transmissions are watermarked with a pseudonym that, if it interferes with a protected passive radio receiver, can be demodulated and used to force the transmitter off of the …

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Channel Estimation via Loss Field: Accurate Site-Trained Modeling for Shadowing Prediction

Jie Wang, Meles G. Weldegebriel, Neal Patwari

Future networks which share spectrum dynamically among groups of mobile users will require fast and accurate channel estimation in order to guarantee signal-to-interference-plus-noise ratio (SINR) requirements for co-channel links. There is a need for channel models with low computational complexity and high …

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Dynamic RFI Management in Radio Astronomy Using Pseudonymetry

Grégory Hellbourg, Neal Patwari, Meles G. Weldegebriel, Ning Zhang

This paper addresses dynamic spectrum management and enforcement by introducing the concept of pseudonymetry to reliably and securely identify interfering transmissions during spectral resource blocks allocated to passive services. Identified interfering transmitters are notified through a shared database, and requested to stop …

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Augmenting Channel Estimation Via Loss Field: Site-Trained Bayesian Modeling and Comparative Analysis

Jie Wang, Meles G. Weldegebriel, Neal Patwari

Channel Estimation via Loss Field: Accurate Site-Trained Modeling for Shadowing Prediction

Jie Wang, Meles G. Weldegebriel, Neal Patwari

Future mobile ad hoc networks will share spectrum between many users. Channels will be assigned on the fly to guarantee signal and interference power requirements for requested links. Channel losses must be re-estimated between many pairs of users as they move and …

Pseudonymetry: Precise, Private Closed Loop Control for Spectrum Reuse with Passive Receivers

Meles G. Weldegebriel, Jie Wang, Ning Zhang, Neal Patwari

Radio astronomy and other passive radio spectrum users have significant challenges avoiding interference from wireless communication systems. Even distant transmitters sometimes interfere with passive users. We propose Pseudonymetry, a system that provides (primary) passive users a means to turn off the transmissions …

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