Search Results for author: Luc Vandendorpe

Found 16 papers, 1 papers with code

Performance Bounds for Near-Field Multi-Antenna Range Estimation of Extended Targets

no code implementations10 Apr 2024 Guillaume Thiran, François De Saint Moulin, Claude Oestges, Luc Vandendorpe

In this paper, performance bounds for the multi-antenna near-field range estimation of extended targets are provided.

Near-Field EM-Based Multistatic Radar Range Estimation

no code implementations14 Mar 2024 François De Saint Moulin, Guillaume Thiran, Christophe Craeye, Luc Vandendorpe, Claude Oestges

This model is applied to an automotive scenario, in which a linear antenna array is spread out at the front of a vehicle, and performs a radar measurement of the distance to the back of the vehicle ahead.

Cellular Load Dependent Sleep Control for Energy Efficient HetNets with Non-Uniform User Distributions

no code implementations22 Feb 2024 Martin Willame, Charles Wiame, Jérôme Louveaux, Claude Oestges, Luc Vandendorpe

Our numerical results finally analyze the impact of the sleep control on the performance and display the optimal strategies in terms of energy efficiency.

Grid Hopping: Accelerating Direct Estimation Algorithms for Multistatic FMCW Radar

no code implementations31 Jul 2023 Gilles Monnoyer, Thomas Feuillen, Maxime Drouguet, Laurent Jacques, Luc Vandendorpe

Our grid hopping approach, which relies on interpolation strategies, offers a reduced computation time while its performance stays on par with the direct method.

Novel Electromagnetism-Based Radar Propagation Model for 5G and Beyond

no code implementations17 May 2023 François De Saint Moulin, Christophe Craeye, Luc Vandendorpe, Claude Oestges

In order to evaluate the performance of radar and communication systems in future wireless networks, accurate propagation models are needed to predict efficiently the received powers at each node, and draw correct conclusions.

Joint data rate and EMF exposure analysis in Manhattan environments: stochastic geometry and ray tracing approaches

no code implementations26 Jan 2023 Charles Wiame, Simon Demey, Luc Vandendorpe, Philippe De Doncker, Claude Oestges

Using this framework, a number of performance metrics are derived: first moments, marginal distributions and joint distributions of the data rate and exposure.

Joint Performance Metrics for Integrated Sensing and Communication Systems in Automotive Scenarios

no code implementations26 Aug 2022 François De Saint Moulin, Charles Wiame, Luc Vandendorpe, Claude Oestges

Then, the model is extended to include interference cancellation for the radar and/or communication function in all the metrics.

Sparse Factorization-based Detection of Off-the-Grid Moving targets using FMCW radars

no code implementations9 Feb 2021 Gilles Monnoyer de Galland, Thomas Feuillen, Luc Vandendorpe, Laurent Jacques

This algorithm extends existing continuous greedy algorithms to the framework of factorized sparse representations of the signals.

Energy Efficient Competitive Resource Allocation in MIMO networks

no code implementations14 Dec 2020 Guillaume Thiran, Ivan Stupia, Luc Vandendorpe

Considering each transmitter-receiver pair as a selfish player, conditions on the existence and uniqueness of the Nash equilibrium of the underlying noncooperative game are obtained.

Going Below and Beyond, Off-the-Grid Velocity Estimation from 1-bit Radar Measurements

no code implementations10 Nov 2020 Gilles Monnoyer de Galland, Thomas Feuillen, Luc Vandendorpe, Laurent Jacques

In this paper we propose to bridge the gap between using extremely low resolution 1-bit measurements and estimating targets' parameters, such as their velocities, that exist in a continuum, i. e., by performing Off-the-Grid estimation.

Quantization

Factorization over interpolation: A fast continuous orthogonal matching pursuit

no code implementations2 Jul 2020 Gilles Monnoyer de Galland, Luc Vandendorpe, Laurent Jacques

We propose a fast greedy algorithm to compute sparse representations of signals from continuous dictionaries that are factorizable, i. e., with atoms that can be separated as a product of sub-atoms.

Clustering and Power Optimization for NOMA Multi-Objective Problems

no code implementations24 Jun 2020 Zijian Wang, Mylene Pischella, Luc Vandendorpe

This paper considers uplink multiple access (MA) transmissions, where the MA technique is adaptively selected between Non Orthogonal Multiple Access (NOMA) and Orthogonal Multiple Access (OMA).

Clustering

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

no code implementations31 Mar 2020 Antoine Paris, Hamed Mirghasemi, Ivan Stupia, Luc Vandendorpe

The computing load is optimally distributed among the edge-devices, taking into account their diversity in term of computing and communications capabilities.

Distributed Computing

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

1 code implementation6 Mar 2019 Antoine Paris, Hamed Mirghasemi, Ivan Stupia, Luc Vandendorpe

In this work, a heterogeneous set of wireless devices sharing a common access point collaborates to perform a set of tasks.

Distributed Computing Total Energy

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