activity
20172024
most citedTowards Fine-Grained Indoor Localization based on Massive MIMO-OFDM System: Experiment and Analysis

47 citations · 176 across the 7 of their papers we have counts for

collaborators

7 papers

cs.NI2024★ 32 cited

Multi-objective Optimization of Cognitive Radio Networks

Rodney Martinez Alonso, David Plets, Margot Deruyck +3

New generation networks, based on Cognitive Radio technology, allow dynamic allocation of the spectrum, alleviating spectrum scarcity. These networks also have a resilient potentia…

cs.NI2024★ 29 cited

TV White Space and LTE Network Optimization towards Energy Efficiency in Suburban and Rural Scenarios

Rodney Martinez Alonso, David Plets, Margot Deruyck +2

The radio spectrum is a limited resource. Demand for wireless communication services is increasing exponentially, stressing the availability of radio spectrum to accommodate new se…

eess.SP2021★ 37 cited

Multi-Static UWB Radar-based Passive Human Tracking Using COTS Devices

Chenglong Li, Emmeric Tanghe, Jaron Fontaine +5

Due to its high delay resolution, the ultra-wideband (UWB) technique has been widely adopted for fine-grained indoor localization. Instead of active positioning, UWB radar-based pa…

eess.SP2021★ 47 cited

Towards Fine-Grained Indoor Localization based on Massive MIMO-OFDM System: Experiment and Analysis

Chenglong Li, Sibren De Bast, Emmeric Tanghe +2

Fine-grained indoor localization has attracted attention recently because of the rapidly growing demand for indoor location-based services (ILBS). Specifically, massive (large-scal…

eess.SP2020★ 5 cited

Phase-based Variant Maximum Likelihood Positioning for Passive UHF-RFID Tags

Chenglong Li, Emmeric Tanghe, David Plets +6

Radio frequency identification (RFID) technology brings tremendous advancement in Internet-of-Things, especially in supply chain and smart inventory management. Phase-based passive…

cs.NE2017★ 26 cited

An efficient genetic algorithm for large-scale planning of robust industrial wireless networks

Xu Gong, David Plets, Emmeric Tanghe +3

An industrial indoor environment is harsh for wireless communications compared to an office environment, because the prevalent metal easily causes shadowing effects and affects the…