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Jason M. Merlo

dblp:316/4544 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
0000-0002-8187-4724ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Physical-layer communications · 50% Internet of things and sensor networks · 50%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Distributed systems · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications › antenna arrays
distributed antenna arrays
0.912025
Decentralized Picosecond Synchronization for Distributed Wireless Systems · IEEE Trans. Commun. 2025
Internet of things and sensor networks
time synchronization
0.912025
Decentralized Picosecond Synchronization for Distributed Wireless Systems · IEEE Trans. Commun. 2025
Distributed systems
consensus
0.312025
Decentralized Picosecond Synchronization for Distributed Wireless Systems · IEEE Trans. Commun. 2025

Methods — techniques the papers use, named apart from their topics

two-way time transfer · 1.7consensus averaging · 1.7
YearPublicationVenuePosition
2025 Decentralized Picosecond Synchronization for Distributed Wireless Systems
abstract
We demonstrate a wireless, decentralized time-alignment method for distributed antenna arrays and distributed wireless networks that achieves picosecond-level synchronization. Distributed antenna arrays consist of spatially separated antennas that coordinate their functionality at the wavelength level to achieve coherent operations such as distributed beamforming. Accurate time alignment (synchronization) of the local clocks on each node in the array is necessary to support accurate time-delay beamforming of modulated signals. In this work we combine a consensus averaging algorithm and a high-accuracy wireless two-way time transfer method to achieve decentralized time alignment, correcting for the time-varying bias of the clocks in a method that has no central node. Internode time transfer is based on a spectrally-sparse, two-tone signal achieving near-optimal time delay accuracy. We experimentally demonstrate the approach in a wireless four-node software-defined radio system, with various network connectivity graphs. We show that within 20 iterations all the nodes achieve convergence within a bias of less than 12 ps and a standard deviation of less than 3 ps. The performance is evaluated versus the bandwidth of the two-tone waveform, which impacts the synchronization error, and versus the signal-to-noise ratio.
Naim Shandi, Jason M. Merlo, Jeffrey A. Nanzer
IEEE Trans. Commun.2