activity
20132021
most citedPower Control in Networks With Heterogeneous Users: A Quasi-Variational Inequality Approach

30 citations · 41 across the 11 of their papers we have counts for

collaborators

12 papers

cs.IT2021

Real-Time CRLB based Antenna Selection in Planar Antenna Arrays

Masoud Arash, Ivan Stupia, Luc Vandendorpe

Estimation of User Terminals' (UTs') Angle of Arrival (AoA) plays a significant role in the next generation of wireless systems. Due to high demands, energy efficiency concerns, an…

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.IT2020★ 1 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★ 7 cited

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…

cs.IT2018

On the effect of blockage objects in dense MIMO SWIPT networks

Ayse Ipek Akin, Ivan Stupia, Luc Vandendorpe

Simultaneous information and power transfer (SWIPT) is characterised by the ambiguous role of multi-user interference. In short, the beneficial effect of multi-user interference on…

eess.SP2017

Optimal Resource Allocation in Ultra-low Power Fog-computing SWIPT-based Networks

Nafiseh Janatian, Ivan Stupia, Luc Vandendorpe

In this paper, we consider a fog computing system consisting of a multi-antenna access point (AP), an ultra-low power (ULP) single antenna device and a fog server. The ULP device i…

cs.IT2016★ 3 cited

Joint MOO of Transmit Precoding and Receiver Design in a Downlink Time Switching MISO SWIPT System

Nafiseh Janatian, Ivan Stupia, Luc Vandendorpe

In this paper, we consider a time-switching (TS) co-located simultaneous wireless information and power transfer (SWIPT) system consisting of multiple multi-antenna access points w…

cs.IT2015

Energy Efficient Precoder Design for MIMO-OFDM with Rate-dependent Circuit Power

Zijian Wang, Ivan Stupia, Luc Vandendorpe

This paper studies an energy efficient design of precoders for point-to-point multiple-input-multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) systems. Diffe…

cs.IT2013★ 30 cited

Power Control in Networks With Heterogeneous Users: A Quasi-Variational Inequality Approach

Ivan Stupia, Luca Sanguinetti, Giacomo Bacci +1

This work deals with the power allocation problem in a multipoint-to-multipoint network, which is heterogenous in the sense that each transmit and receiver pair can arbitrarily cho…