IEEE PCJS SIGNAL PROCESSING SOCIETY CHAPTER MEETING: GUEST SPEAKER
"Building Smart Wireless Devices Using Gnuradio, a Gentle Introduction to Software Radio and Cognitive Radio Technologies" by Yahia Tachwali, Ph.D.
Abstract:
Smart phones ... are they smart enough?!! Not really. There is actually an increasing demand for improving the efficiency of wireless systems. Current wireless systems suffer severe radio spectrum under-utilization due to a number of problematic issues, including wasteful static spectrum allocations; fixed radio functionalities and architectures; and limited cooperation between network nodes. Significant research efforts aim to find alternative solutions to improve spectrum utilization. Cognitive radio based on software defined radio technology is considered one novel approach for solving those problems. Cognitive radio (CR) refers to an
adaptive radio capable of changing operation parameters—frequency, modulation, power, and bandwidth, depending on the radio environment, user communication experience, and geo-location. Software Defined Radio (SDR) refers to the implementation platform for cognitive radio. These platforms are based on highly configurable architectures to support flexible radio functionality needed for cognitive radio. In essence, SDR is considered the enabling technology for CR.
This tutorial provides a gentle introduction to cognitive radio and software radio world. Followed by hands-on introduction to Gnuradio which is an open source project that provides a platform for rapid software radio prototyping. The tutorial concludes by shedding the lights also on how to seek more information about those subjects.
Yahia Tachwali, Ph.D. is a senior statistical DSP engineer at Argo.ai developing detection and parameter estimation algorithms for self-driving car sensors. In 2017, he was a principal DSP engineer at SkySafe developing advanced signal processing algorithms to detect and analyze radio wave signals to stop rogue drones from entering unauthorized areas. Between 2011 and 2016, he was an R&D Software Engineer – Expert level at Keysight Technologies. He worked as a postdoctoral researcher at the Georgia Institute of Technology, in the Broadband Wireless Networking Lab under the supervision of Prof. Ian F. Akyildiz. He received his Ph.D. in Electrical and Computer Engineering from the University of Oklahoma in 2010. His doctoral research focused on building cognitive radios in small form factor platforms and investigated the use of compressive sensing techniques to perform efficient spectrum sensing operations. He has authored more than 20 journal articles and conference papers in the field of signal processing for cognitive radio applications. His research interests are: cognitive radio networks, the design and implementation of DSP algorithms on software radio platforms, spectrum sensing, machine learning, reconfigurable wireless systems, and compressive sensing techniques.
Date and Time
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- Date: 15 Jan 2019
- Time: 06:30 PM to 08:30 PM
- All times are (UTC-05:00) Eastern Time (US & Canada)
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- 1 Vogt Ave.
- Bridgewater, New Jersey
- United States 08807
- Building: Bridgewater Library, Somerset County Library System
- Room Number: Meeting Room B
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Questions: call 908-458-5863 or click email link.
No registration is required; register to indicate you may attend.
- Starts 29 December 2018 06:00 AM
- Ends 15 January 2019 07:00 PM
- All times are (UTC-05:00) Eastern Time (US & Canada)
- No Admission Charge
Speakers
Yahia Tachwali, Ph.D. of IEEE PCJS Signal Processig Society Chapter
Agenda
Networking and Refreshments from 6:30PM to 7:00PM
Technical Talk by Yahia Tachwali, Ph.D. from 7:00PM to 8:00PM
followed by Q&A and more networking after.
No registration required. (Register to indicate you may attend.)
IEEE MEMBERS AND GUESTS WELCOME
Come early to network. Refreshments provided.
Registration not required.