CREW offers Open Access

CREW is in continuous Open Access phase to support your experiments free of charge!

Final public event & Globecom tutorial

CREW will present its final results at the Wireless Community event (Leuven, Belgium, 29 October 2015, more info) and organises a hands-on tutorial at Globecom (San Diego, USA, 10 December 2015, more info)

CREW PORTAL: access the CREW facilities

Interested in using the CREW facilities?
[Start here] - [Browse by name] - [Overview images] - [Advanced info] - [WTA GitHub].

Course A: Use of iMinds test facilities w-iLab.t, including IMEC spectrum sensing engine (heterogeneous ISM)

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Abstract

The w-iLab.t testbed is a generic and heterogeneous wireless testbed.
The majority of devices in w-iLab.t are embedded PCs equipped with Wi-Fi interfaces, Zigbee sensor nodes and Bluetooth dongles. In addition, some advanced software-defined radio (SDR) platforms --- USRP and WARP, and imec sensing engines are also deployed. This makes w-iLab.t an ideal testbed for conducting cognitive radio experiment.
 
The w-iLab.t Zwijnaarde has adopted OMF as its testbed control and management framework. OMF allows experimenters to describe their experiments systematically, and offers data logging services and the ability to configure multiple devices via one central script.
 
The tutorial on w-iLab.t testbed consists of two parts:
PART 1: Basic w-iLab.t tutorial (Tue Jan 14, "Course 1")
Users will learn how to conduct simple experiments with OMF framework, and see how to remotely configure the cognitive components in w-iLab.t testbed.
 
PART 2: Advanced w-iLab.t tutorial (Wed Jan 15, "Course A")
Users will see how to operate more advanced sensing devices, such as imec sensing engine USRP, and WARP. In addition, we will also showcase how to utilize the TCS tranceiver API for USRP configuration. We will examine the different capabilities of the presented sensing engines in depth.

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AttachmentSize
20140114_CREW_training_days_imecse_v1.0.pdf1.06 MB
CREW UTH-NICTA_Wei2.pdf1014.38 KB
CREW_training_2014_wilab2_indepth.pdf1.87 MB
CREW training_robots.pdf1.2 MB