Communication at millimeter wave (mmWave) frequencies is defining a new era of wireless communication. The mmWave band offers higher bandwidth communication channels …
This first chapter formulates the objectives of compressive sensing. It introduces the standard compressive problem studied throughout the book and reveals its ubiquity in many …
We develop a broadband channel estimation algorithm for millimeter wave (mmWave) multiple input multiple output (MIMO) systems with few-bit analog-to-digital converters …
A Li, L Zhang, J Tan, Y Qin, J Wang… - IEEE INFOCOM 2021 …, 2021 - ieeexplore.ieee.org
Federated learning (FL) enables participants to collaboratively construct a global machine learning model without sharing their local training data to the remote server. In FL systems …
J Mo, RW Heath - IEEE transactions on signal processing, 2015 - ieeexplore.ieee.org
With bandwidths on the order of a gigahertz in emerging wireless systems, high-resolution analog-to-digital convertors (ADCs) become a power consumption bottleneck. One solution …
Y Plan, R Vershynin - IEEE Transactions on Information Theory, 2012 - ieeexplore.ieee.org
This paper develops theoretical results regarding noisy 1-bit compressed sensing and sparse binomial regression. We demonstrate that a single convex program gives an …
We develop channel estimation agorithms for millimeter wave (mmWave) multiple input multiple output (MIMO) systems with one-bit analog-to-digital converters (ADCs). Since the …
In this paper, we develop a theory of matrix completion for the extreme case of noisy 1-bit observations. Instead of observing a subset of the real-valued entries of a matrix M, we …
Y Plan, R Vershynin - Communications on pure and Applied …, 2013 - Wiley Online Library
We give the first computationally tractable and almost optimal solution to the problem of one‐ bit compressed sensing, showing how to accurately recover an s‐sparse vector\input …