activity
20152020
most citedPerformance Analysis of Uplink Adaptive NOMA Depending on Channel Knowledge

1 citations · 1 across the 4 of their papers we have counts for

collaborators

9 papers

eess.SP2020

Energy Efficient Competitive Resource Allocation in MIMO networks

Guillaume Thiran, Ivan Stupia, Luc Vandendorpe

This paper considers the competitive resource allocation problem in Multiple-Input Multiple-Output (MIMO) interfering channels, when users maximize their energy efficiency. Conside…

cs.IT20201 cited

Performance Analysis of Uplink Adaptive NOMA Depending on Channel Knowledge

Mylene Pischella, Ivan Stupia, Luc Vandendorpe

Non Orthogonal Multiple Access (NOMA) is a key technique to satisfy large users densities in future wireless networks. However, NOMA may provide poor performance compared to Orthog…

eess.SP2020

Leveraging User-Diversity in Energy-Efficient Edge-Facilitated Collaborative Fog Computing

Antoine Paris, Hamed Mirghasemi, Ivan Stupia +1

Motivated by applications such as on-device collaborative neural network inference, this work investigates edge-facilitated collaborative fog computing - in which edge-devices coll…

cs.IT2020

Localization Efficiency in Massive MIMO Systems

Masoud Arash, Hamed Mirghasemi, Ivan Stupia +1

In the next generation of wireless systems, Massive MIMO offers high angular resolution for localization. By virtue of large number of antennas, the Angle of Arrival (AoA) of User…

eess.SP2019

Energy-Efficient Edge-Facilitated Wireless Collaborative Computing using Map-Reduce

Antoine Paris, Hamed Mirghasemi, Ivan Stupia +1

In this work, a heterogeneous set of wireless devices sharing a common access point collaborates to perform a set of tasks. Using the Map-Reduce distributed computing framework, th…

cs.IT2018

SWIPT-based Real-Time Mobile Computing Systems: A Stochastic Geometry Perspective

Ayse Ipek Akin, Nafiseh Janatian, Ivan Stupia +1

Driven by the Internet of Things vision, recent years have seen the rise of new horizons for the wireless ecosystem in which a very large number of mobile low power devices interac…