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20172026
most citedCell-Free Massive MIMO for URLLC: A Finite-Blocklength Analysis

52 citations · 178 across the 19 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.IT2023★ 1 cited

Coded Orthogonal Modulation for the Multi-Antenna Multiple-Access Channel

Alexander Fengler, Alejandro Lancho, Yury Polyanskiy

This study focuses on (traditional and unsourced) multiple-access communication over a single transmit and multiple () receive antennas. We assume full or partial channel state…

cs.LG2023★ 1 cited

Score-based Source Separation with Applications to Digital Communication Signals

Tejas Jayashankar, Gary C. F. Lee, Alejandro Lancho +3

We propose a new method for separating superimposed sources using diffusion-based generative models. Our method relies only on separately trained statistical priors of independent…

eess.SP2023

A Bilateral Bound on the Mean-Square Error for Estimation in Model Mismatch

Amir Weiss, Alejandro Lancho, Yuheng Bu +1

A bilateral (i.e., upper and lower) bound on the mean-square error under a general model mismatch is developed. The bound, which is derived from the variational representation of t…

cs.IT2023

On the Advantages of Asynchrony in the Unsourced MAC

Alexander Fengler, Alejandro Lancho, Krishna Narayanan +1

In this work we demonstrate how a lack of synchronization can in fact be advantageous in the problem of random access. Specifically, we consider a multiple-access problem over a fr…

eess.SP2023★ 6 cited

On Neural Architectures for Deep Learning-based Source Separation of Co-Channel OFDM Signals

Gary C. F. Lee, Amir Weiss, Alejandro Lancho +2

We study the single-channel source separation problem involving orthogonal frequency-division multiplexing (OFDM) signals, which are ubiquitous in many modern-day digital communica…