Differences

This shows you the differences between two versions of the page.

--- start [2018/04/11 19:31] – lcardoso
+++ start [2025/07/02 09:43] (current) – mimbert
@@ Line 1: / Line 1: @@
-# Welcome to the FIT/CorteXlab Wiki
+# Welcome to CorteXlab
+== a precursor infrastructure of ==
+{{::slices-ri_black.png?460|}}
+===== News =====
+  * 3-6/06/2025: {{ :20250605_112121.jpg?200|}} Presence at INSTINCT Booth of EUCNC 2025 in Poznan: Remote CorteXlab demonstrations
+  * 21/05/2025: INSTINCT project meeting at INSA, with hands-on tutorial on CorteXlab usage
+  * 06/11/2024: PEPR PC10 Meeting at INSA around CorteXlab
+  * 27/08/2024: Presence at GNU Radio European Days
+  * CorteXlab is part of the PEPR Reseaux futurs Project
+  * CorteXlab is also part of the EU SNS INSTINCT Project
-This Wiki provides general information and end-user tutorials concerning the FIT/CorteXlab testbed.
 /*===== 1st Grid5000-FIT School (NEW!) =====
-If you're attending the 1st Grid5000-FIT School, taking place at Sophia Antipolis, from April 3 to 6, all information related to FIT/CorteXlab, including:
+If you're attending the 1st Grid5000-FIT School, taking place at Sophia Antipolis, from April 3 to 6, all information related to CorteXlab, including:
   * Prerequisites
@@ Line 13: / Line 24: @@
 can be found here: [1st Grid5000-FIT School](g5k-fit-school) */
-===== What is FIT/CorteXlab? =====
+===== What is SLICES-RI/CorteXlab? =====
-The FIT/CorteXlab testbed is one of 9 testbeds of the [[http://fit-equipex.fr/english|Future Internet of Things (FIT) Initiative]]. All the testbeds are dedicated to radio communication research but CorteXlab is the only one specifically designed for [[http://en.wikipedia.org/wiki/Software-defined_radio|Software Defined]] and [[http://en.wikipedia.org/wiki/Cognitive_radio|Cognitive]] Radio research.
+{{:inria-0224-028.jpg?690|}}
-With its 180m² EM shielded room that ensures experiment reproducibility and its 40 high-end SDR-capable radio nodes, CorteXlab provides a unique setup to experiment on new state-of-the-art radio techniques.
+ The FIT/CorteXlab testbed was founded as one of 9 testbeds of the [[http://fit-equipex.fr/english|Future Internet of Things (FIT) Initiative]]. All these testbeds are dedicated to radio communication research but FIT/CorteXlab is the only one specifically designed for [[http://en.wikipedia.org/wiki/Software-defined_radio|Software Defined]] and [[http://en.wikipedia.org/wiki/Cognitive_radio|Cognitive]] Radio research.
-More info on the official FIT/CorteXlab website: www.cortexlab.fr.
+Since 2023, as part of the [[https://pepr-futurenetworks.fr/projet/fpng/|Future Networks PEPR]], the platform is being integrated in the European [[https://www.slices-ri.eu/|SLICES]] platform, becoming SLICES/CorteXlab.
-===== Why do I need FIT/CorteXlab? =====
+With its 180m² EM shielded room that ensures experiment reproducibility and its 40 high-end SDR-capable radio nodes, SLICES/CorteXlab provides a unique setup to experiment on new state-of-the-art radio techniques.
+A recent video presentation of SLICES/CorteXlab (and the S3-CAP framework) can be found [[https://youtu.be/7kcKY1l5KN0|here]].
+===== Why do I need SLICES-RI/CorteXlab? =====
   * **Because it goes down to the physical layer:**
@@ Line 27: / Line 42: @@
   * **Because it allows for large scale experiments:**
-      With up to a total of 80 nodes, if you include the WSN's, the possibilities of experimentation scenarios are widened to a level never seen before.
+      With up to a total of 40 nodes, the possibilities of experimentation scenarios are widened to a level never seen before.
   * **Because it ensures reproducibility:**
-As the room is isolated from the outer world, you can experiment on any band from 300MHz to 4GHz with no interference, thus running the exact same experiment twice will give you the exact same results.
+As the room is isolated from the outer world, you can experiment on any band from 300MHz to 4GHz with no interference, thus running the exact same experiment twice will give you the exact same (statistical) results.
   * **Because you can do everything from home:**
-All systems in CorteXlab are fully automated and the testbed is accessible from the Internet for everyone so once you get an account you just need your PC and an Internet connection to use it!
+All systems in SLICES/CorteXlab are fully automated and the testbed is accessible from the Internet for everyone so once you get an account you just need your PC and an Internet connection to use it!
   * **Because it's free to use!**
@@ Line 48: / Line 63: @@
    * [[tutorials|Follow some CorteXlab tutorials]]
-===== I have used FIT/CorteXlab, how do I cite it? =====
+===== Recent publications using SLICES-RI/CorteXlab =====
-Mentioning FIT/CorteXlab in your research publications allow us to measure the impact of the usage of the testbed, which in turn keeps the testbed working. :-D
+* [[https://hal.inria.fr/hal-03876369/|Slotted, synchronised and modular framework for the evaluation of channel access policies in dense IoT network using FIT/CorteXlab]], A Paris et al., 2022
+* [[https://hal.inria.fr/hal-03117090/|Deep Learning-based Transmitter identification on the physical layer]], C Morin et al., 2020
+* [[https://hal.inria.fr/hal-02916171/file/URSI_GASS2020_CITI_Hutu.pdf|Distributed beamforming for wireless power transfer]], F Hutu et al., 2020
+* [[https://hal.archives-ouvertes.fr/hal-02977808/|Study of Distributed Beamforming for Wireless Power Transfer in Presence of RF Impairments]], F Hutu et al., 2020
+* [[https://upcommons.upc.edu/handle/2117/178246|Simultaneous information and energy transmission: towards feasible systems]], N Vinyes, 2019
+* [[https://ieeexplore.ieee.org/abstract/document/8845293/|Framework for PHY-MAC layers Prototyping in Dense IoT Networks using FIT/CorteXlab Testbed]], O Oubejja et al., 2019
+* [[https://link.springer.com/chapter/10.1007/978-3-030-25748-4_6|Transmitter classification with supervised deep learning]], C Morin et al., 2019
+* [[https://ieeexplore.ieee.org/abstract/document/8802007|Beyond LoRa and NB-IoT: Proposals for Future LPWA Systems]], G Vivier et al., 2019
+* [[https://pubs.gnuradio.org/index.php/grcon/article/view/78|Radio Datasets for radioelectric spectrum analysis in Colombian Scenarios using GNU radio into the FIT/CorteXlab]], EP Guillen et al., 2018.
+* [[https://pubs.gnuradio.org/index.php/grcon/article/view/81|Learning to fingerprint: physical layer identification]], C Morin et al., 2018
+* [[http://theses.insa-lyon.fr/publication/2018LYSEI069/these.pdf|Ultra Narrow Band based IoT networks]], Y Mo, 2018
+* [[https://books.google.fr/books?hl=fr&lr=&id=PPpNDwAAQBAJ&oi=fnd&pg=PA225&dq=%22FIT/CorteXlab%22&ots=r08jATN8O7&sig=Uyp78-vwiOI0kgHWPHHHR0Kxl54&redir_esc=y#v=onepage&q=%22FIT%2FCorteXlab%22&f=false|Reliable and Reproducible Radio Experiments in FIT/CorteXlab SDR Testbed: Initial Findings]], L Cardoso et al., 2017
+* [[https://ieeexplore.ieee.org/abstract/document/7842419|Coding for Caching in 5G Networks]], Y Fadlallah et al., 2017
-If you have used FIT/CorteXlab in your research publications there are two ways to mention it:
+More [[https://scholar.google.com/scholar?hl=fr&as_sdt=0%2C5&q=FIT+CorteXlab&btnG=|here]]
+===== I have used SLICES-RI/CorteXlab, how do I cite it? =====
+Mentioning CorteXlab in your research publications allow us to measure the impact of the usage of the testbed, which in turn keeps the testbed working. :-)
+If you have used CorteXlab in your research publications there are two ways to mention it:
 ==== Via aknowledgement: ====
@@ Line 59: / Line 93: @@
 <code>
-Experiments presented in this paper were carried out using the FIT/CorteXlab testbed. (see http://www.cortexlab.fr).
+Experiments presented in this work were carried out using the SLICES-RI/CorteXlab testbed. (see http://www.cortexlab.fr).
 </code>
 ==== Via citation: ====
@@ Line 77: / Line 111: @@
 }
 </code>