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20242026
most citedDecentralized Multi-Party Multi-Network AI for Global Deployment of 6G Wireless Systems

1 citations · 1 across the 7 of their papers we have counts for

collaborators

7 papers

eess.SP2026

Statistical Model of Time-varying Backscatter Power of Monostatic RF Sensing Channels in Urban Canyons

Dmitry Chizhik, Jakub Sapis, John Drogo +7

We present a measurement-based statistical model for the backscatter power ratio of monostatic RF sensing in urban canyons with moving clutter, suitable for large-scale system leve…

cs.NI2026

Toward Native ISAC Support in O-RAN Architectures for 6G

Eduardo Baena, Rajesh Krishnan, Mai Vu +2

ISAC is an emerging paradigm in 6G networks that enables environmental sensing using wireless communication infrastructure. Current O-RAN specifications lack the architectural prim…

cs.NI2026

AWaRe-SAC: Proactive Slice Admission Control under Weather-Induced Capacity Uncertainty

Dror Jacoby, Yanzhi Li, Shuyue Yu +4

Millimeter-wave (mmWave) links are increasingly utilized in wireless x-haul transport to meet growing service demands. However, the inherent susceptibility of mmWave links to weath…

cs.NI2025

Fair Dynamic Spectrum Access via Fully Decentralized Multi-Agent Reinforcement Learning

Yubo Zhang, Pedro Botelho, Trevor Gordon +2

We consider a decentralized wireless network with several source-destination pairs sharing a limited number of orthogonal frequency bands. Sources learn to adapt their transmission…

eess.SP2025

Channel and Spectrum Consumption Models for Urban Outdoor-to-Outdoor 28 GHz Wireless

Manav Kohli, Carlos E. Caicedo, Tingjun Chen +9

Millimeter-wave (mmWave) communication has been widely accepted as an enabler of 6G and other next-generation wireless networks, though high path loss strains link budgets, and dif…

cs.NI2024★ 1 cited

Decentralized Multi-Party Multi-Network AI for Global Deployment of 6G Wireless Systems

Merim Dzaferagic, Marco Ruffini, Nina Slamnik-Krijestorac +21

Multiple visions of 6G networks elicit Artificial Intelligence (AI) as a central, native element. When 6G systems are deployed at a large scale, end-to-end AI-based solutions will…

eess.SY2024

Backscatter Measurements and Models for RF Sensing Applications in Cluttered Environments

Dmitry Chizhik, Jinfeng Du, Jakub Sapis +6

A statistical backscatter channel model for indoor clutter is developed for indoor RF sensing applications based on measurements. A narrowband 28 GHz sounder used a quazi-monostati…