Efficient Massive Machine Type Communication (mMTC) via AMP

Massive Access for Machine-to-Machine Communication in Cellular Networks

Communication Efficient Algorithms for Generating Massive Networks

Massive complex systems are prevalent throughout all of our lives, from various biological systems as the human genome to technological networks such as Facebook or Twitter. Rapid advances in technology allow us to gather more and more data that is connected to these systems. Analyzing and extracting this huge amount of information is a crucial task for a variety of scientific disciplines. A co...

Distributed Learning for Low Latency Machine Type Communication in a Massive Internet of Things

The Internet of Things (IoT) will encompass a massive number of machine type devices that must wirelessly transmit, in near real-time, a diverse set of messages sensed from their environment. Designing resource allocation schemes to support such coexistent, heterogeneous communication is hence a key IoT challenge. In particular, there is a need for self-organizing resource allocation solutions ...

Efficient Semantic Communication via Compatible Beliefs

In previous works, Juba and Sudan [6] and Goldreich, Juba and Sudan [4] considered the idea of “semantic communication”, wherein two players, a user and a server, attempt to communicate with each other without any prior common language (or communication) protocol. They showed that if communication was goal-oriented and the user could sense progress towards the goal (or verify when it has been a...

Massive Machine-Type Communications and Revival of ALOHA

In this paper, we provide an overview of recent developments in the domain of Machine-Type Communications (MTC) for current and next-generation wireless cellular systems. We describe existing MTC standards and discuss in more detail the necessity of novel solutions for massive access of machinetype devices to the mobile cellular network. In particular, we focus on recent developments in the dom...