Paper
18 February 2014 A remote laboratory for USRP-based software defined radio
Rudresh Gandhinagar Ekanthappa, Rodrigo Escobar, Achot Matevossian, David Akopian
Author Affiliations +
Proceedings Volume 9030, Mobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications 2014; 903003 (2014) https://doi.org/10.1117/12.2044216
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States
Abstract
Electrical and computer engineering graduates need practical working skills with real-world electronic devices, which are addressed to some extent by hands-on laboratories. Deployment capacity of hands-on laboratories is typically constrained due to insufficient equipment availability, facility shortages, and lack of human resources for in-class support and maintenance. At the same time, at many sites, existing experimental systems are usually underutilized due to class scheduling bottlenecks. Nowadays, online education gains popularity and remote laboratories have been suggested to broaden access to experimentation resources. Remote laboratories resolve many problems as various costs can be shared, and student access to instrumentation is facilitated in terms of access time and locations. Labs are converted to homeworks that can be done without physical presence in laboratories. Even though they are not providing full sense of hands-on experimentation, remote labs are a viable alternatives for underserved educational sites. This paper studies remote modality of USRP-based radio-communication labs offered by National Instruments (NI). The labs are offered to graduate and undergraduate students and tentative assessments support feasibility of remote deployments.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rudresh Gandhinagar Ekanthappa, Rodrigo Escobar, Achot Matevossian, and David Akopian "A remote laboratory for USRP-based software defined radio", Proc. SPIE 9030, Mobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications 2014, 903003 (18 February 2014); https://doi.org/10.1117/12.2044216
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
LabVIEW

Modulation

Signal detection

Eye

Computing systems

Human-machine interfaces

Telecommunications

RELATED CONTENT


Back to Top