AI for Wireless: Application Areas
AI for Wireless: Application Areas
Artificial Intelligence (AI) became popular for identifying dog and cats in images and now it is in every part of our lives. It is even showing up in wireless systems. It first started with identifying modulation types in an academic paper. Now 3GPP is considering physical layer algorithms to boost system performance. Researchers are looking into designing communication links using AI without explicit modulation and error correction algorithms. In this talk, we are going to go over application areas of AI in the wireless communications systems focusing on physical layer algorithm. One of the hardest parts for communications systems engineers who have been using MATLAB is to get into a new field using a new tool. So, we will use MATLAB as our main platform but also talk about interoperability with Python-based tools.
Event Date changed to
April 3, 2024
Further Date Change due to Snow Storm on April 3rd 2024
April 10, 2024
Room also changed to 128 B from 104-113.
Date and Time
Location
Hosts
Registration
- Date: 10 Apr 2024
- Time: 05:00 PM to 07:00 PM
- All times are (UTC-04:00) Eastern Time (US & Canada)
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- 2500 N River Rd
- Hooksett, New Hampshire
- United States 03106
- Building: School of Engineering, Technology and Aeronautics
- Room Number: 128 B
- Click here for Map
- Starts 18 January 2024 08:00 AM
- Ends 10 April 2024 05:00 PM
- All times are (UTC-04:00) Eastern Time (US & Canada)
- No Admission Charge
Speakers
Dr. Ethem Mutlu Sozer
AI for Wireless: Application Areas
Artificial Intelligence (AI) became popular for identifying dog and cats in images and now it is in every part of our lives. It is even showing up in wireless systems. It first started with identifying modulation types in an academic paper. Now 3GPP is considering physical layer algorithms to boost system performance. Researchers are looking into designing communication links using AI without explicit modulation and error correction algorithms. In this talk, we are going to go over application areas of AI in the wireless communications systems focusing on physical layer algorithm. One of the hardest parts for communications systems engineers who have been using MATLAB is to get into a new field using a new tool. So, we will use MATLAB as our main platform but also talk about interoperability with Python-based tools.
Biography:
Ethem Mutlu Sözer has been working on software development for signal processing and communications algorithms for more than two decades. He started his career working on underwater acoustic communication systems and networks. He designed and implemented software defined radio algorithms while providing easy SDR support through MATLAB. Most recently, he has been working on using AI for wireless communications especially in the physical layer. He is a principal software engineer at MathWorks Inc. in Natick, MA. Previously he was a research engineer at Massachusetts Institute of Technology, where he developed underwater acoustic communication hardware and software platforms. He also enjoys sharing his knowledge with engineering students through tutoring. He has bachelor's and master's degrees from Middle East Technical University, and a Ph.D. from Northeastern University.
Agenda
5:00 PM Pizza and Refreshments (Please register for this event so that we will know how many pizzas and refreshments we will order)
5:15 PM Introducing Speaker
5:20 PM Talk
6:30 Questions