Abstract: Network densification is poised to enable the massive throughout jump expected in the era of 5G and beyond. In the first part of the talk, we identify the challenges of verifying identify of a particular emitter in a large pool of similar devices based on unique distortions in the signal, or ‘RF fingerprints’, as it passes through a given transmitter chain. We show how deep convolutional neural networks can uniquely identify a radio in a large signal dataset composed of over a hundred WiFi radios with accuracy close to 99%.
- Mon, Nov 9, 2020, 4:30 pm to 5:30 pm
- Tue, Nov 3, 2020, 4:30 pm to 5:30 pm
Abstract: Emerging Internet-of-Things (IoT) devices for use in smart homes, wearable systems, industrial monitoring, smart cities, and beyond all require robust yet low-power wireless communications. Unfortunately, most current wireless standards do not intrinsically support low-power operation due to strict requirements on modulation formats, data rates, linearity, packet overheads, and so on.
- Fri, Oct 30, 2020, 11:00 am to 12:30 pm
- Wed, Dec 2, 2020, 4:30 pm to 5:30 pm
- Fri, Oct 9, 2020, 2:30 pm to 4:00 pm
- Wed, Sep 30, 2020, 12:30 pm to 2:00 pm
- Thu, Nov 12, 2020, 12:30 pm to 1:30 pm
- Mon, Sep 21, 2020, 1:00 pm to 2:30 pm
- Thu, Sep 17, 2020, 2:00 pm to 3:30 pm
- Mon, Sep 14, 2020, 10:00 am to 11:30 am