activity
20102023
most citedLearning-Based Downlink Power Allocation in Cell-Free Massive MIMO Systems

109 citations · 308 across the 30 of their papers we have counts for

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17 papers · 1 filter

cs.NI2022★ 2 cited

BSAC-CoEx: Coexistence of URLLC and Distributed Learning Services via Device Selection

Milad Ganjalizadeh, Hossein Shokri Ghadikolaei, Deniz Gündüz +1

Recent advances in distributed intelligence have driven impressive progress across a diverse range of applications, from industrial automation to autonomous transportation. Neverth…

cs.NI2022

Interplay between Distributed AI Workflow and URLLC

Milad Ganjalizadeh, Hossein S. Ghadikolaei, Johan Haraldson +1

Distributed artificial intelligence (AI) has recently accomplished tremendous breakthroughs in various communication services, ranging from fault-tolerant factory automation to sma…

cs.NI2021★ 3 cited

Towards Global and Limitless Connectivity: The Role of Private NGSO Satellite Constellations for Future Space-Terrestrial Networks

Andra M. Voicu, Abhipshito Bhattacharya, Marina Petrova

Satellite networks are expected to support global connectivity and services via future integrated 6G space-terrestrial networks (STNs), as well as private non-geostationary satelli…

cs.NI2021★ 1 cited

NeuroRAN: Rethinking Virtualization for AI-native Radio Access Networks in 6G

Paris Carbone, Gyoergy Dan, James Gross +2

Network softwarization has revolutionized the architecture of cellular wireless networks. State-of-the-art container based virtual radio access networks (vRAN) provide enormous fle…

cs.NI2020

Translating Cyber-Physical Control Application Requirements to Network level Parameters

Milad Ganjalizadeh, Abdulrahman Alabbasi, Joachim Sachs +1

Cyber-physical control applications impose strict requirements on the reliability and latency of the underlying communication system. Hence, they have been mostly implemented using…

cs.NI2020★ 2 cited

Limitations of Stochastic Geometry Modelling for Estimating the Performance of CSMA Networks

Andra M. Voicu, Ljiljana Simić, Marina Petrova

This letter considers stochastic geometry modelling (SGM) for estimating the signal-to-interference-and-noise ratio (SINR) and throughput of CSMA networks. We show that, despite it…