52 citations · 178 across the 19 of their papers we have counts for
6 papers · 1 filter
Efficient evaluation of the error probability for pilot-assisted URLLC with Massive MIMO
A. Oguz Kislal, Alejandro Lancho, Giuseppe Durisi +1
We propose a numerically efficient method for evaluating the random-coding union bound with parameter on the error probability achievable in the finite-blocklength regime by a…
Finite-Blocklength Results for the A-channel: Applications to Unsourced Random Access and Group Testing
Alejandro Lancho, Alexander Fengler, Yury Polyanskiy
We present finite-blocklength achievability bounds for the unsourced A-channel. In this multiple-access channel, users noiselessly transmit codewords picked from a common codebook…
Data-Driven Blind Synchronization and Interference Rejection for Digital Communication Signals
Alejandro Lancho, Amir Weiss, Gary C. F. Lee +4
We study the potential of data-driven deep learning methods for separation of two communication signals from an observation of their mixture. In particular, we assume knowledge on…
Exploiting Temporal Structures of Cyclostationary Signals for Data-Driven Single-Channel Source Separation
Gary C. F. Lee, Amir Weiss, Alejandro Lancho +4
We study the problem of single-channel source separation (SCSS), and focus on cyclostationary signals, which are particularly suitable in a variety of application domains. Unlike c…
Cell-Free Massive MIMO for URLLC: A Finite-Blocklength Analysis
Alejandro Lancho, Giuseppe Durisi, Luca Sanguinetti
We present a general framework for the characterization of the packet error probability achievable in cell-free Massive multiple-input multiple output (MIMO) architectures deployed…
Unsourced Multiple Access With Random User Activity
Khac-Hoang Ngo, Alejandro Lancho, Giuseppe Durisi +1
To account for the massive uncoordinated random access scenario, which is relevant for the Internet of Things, Polyanskiy (2017) proposed a novel formulation of the multiple-access…