This paper proposes and experimentally validates a new paradigm for computing with
wireless signals over-the-air (OTA). It demonstrates the first fully connected (FC) neural …

Next-generation wireless networks must support ultra-reliable, low-latency communication
and intelligently manage a massive number of Internet of Things (IoT) devices in real-time …

The goal of this tutorial is to provide one of the first holistic tutorials on the topic of machine
learning for wireless network design. In particular, we will first provide a comprehensive …

In order to effectively provide ultra reliable low latency communications and pervasive
connectivity for Internet of Things (IoT) devices, next-generation wireless networks can …

State-of-the-art performance for many edge applications is achieved by deep neural
networks (DNNs). Often, these DNNs are location-and time-sensitive, and must be delivered …

There is an ever-growing race between what novel applications demand from the
infrastructure and what the continuous technological breakthroughs bring in. Especially after …

As the use of wireless communication devices increases, so does the need for effective
signal generation techniques. We show how different methods of waveform generation with …

This paper describes the architecture and performance of ORACLE, an approach for
detecting a unique radio from a large pool of bit-similar devices (same hardware, protocol …

Over-the-air computation (AirComp) leverages the signal-superposition characteristic of
wireless multiple access channels to perform mathematical computations. Initially introduced …

Deep learning (DL) techniques have the potential of making communication systems more
efficient and solving many problems in the physical layer. In this thesis, we proposed an end …