Joint user selection, power allocation, and precoding design with imperfect CSIT for multi-cell MU-MIMO downlink systems
In this paper, a new optimization framework is presented for the joint design of user
selection, power allocation, and precoding in multi-cell multi-user multiple-input multiple …
selection, power allocation, and precoding in multi-cell multi-user multiple-input multiple …
On the information bottleneck problems: Models, connections, applications and information theoretic views
A Zaidi, I Estella-Aguerri, S Shamai - Entropy, 2020 - mdpi.com
This tutorial paper focuses on the variants of the bottleneck problem taking an information
theoretic perspective and discusses practical methods to solve it, as well as its connection to …
theoretic perspective and discusses practical methods to solve it, as well as its connection to …
Distributed variational representation learning
IE Aguerri, A Zaidi - IEEE transactions on pattern analysis and …, 2019 - ieeexplore.ieee.org
The problem of distributed representation learning is one in which multiple sources of
information X 1,..., XK are processed separately so as to learn as much information as …
information X 1,..., XK are processed separately so as to learn as much information as …
The broadcast approach in communication networks
In this paper we review the theoretical and practical principles of the broadcast approach to
communication over state-dependent channels and networks in which the transmitters have …
communication over state-dependent channels and networks in which the transmitters have …
[PDF][PDF] Distributed information bottleneck method for discrete and Gaussian sources
I Estella Aguerri, A Zaidi - International Zurich Seminar …, 2018 - research-collection.ethz.ch
We study the problem of distributed information bottleneck, in which multiple encoders
separately compress their observations in a manner such that, collectively, the compressed …
separately compress their observations in a manner such that, collectively, the compressed …
On the capacity of cloud radio access networks with oblivious relaying
IE Aguerri, A Zaidi, G Caire… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
We study the transmission over a network in which users send information to a remote
destination through relay nodes that are connected to the destination via finite-capacity error …
destination through relay nodes that are connected to the destination via finite-capacity error …
Vector Gaussian CEO problem under logarithmic loss and applications
Y Uğur, IE Aguerri, A Zaidi - IEEE Transactions on Information …, 2020 - ieeexplore.ieee.org
In this paper, we study the vector Gaussian Chief Executive Officer (CEO) problem under
logarithmic loss distortion measure. Specifically, K≥ 2 agents observe independently …
logarithmic loss distortion measure. Specifically, K≥ 2 agents observe independently …
Price-based resource allocation in massive MIMO H-CRANs with limited fronthaul capacity
In this paper, we investigate the bandwidth and power allocation problem in remote radio
head cluster (RRHC)-based millimeter wave (mm-wave) massive MIMO heterogeneous …
head cluster (RRHC)-based millimeter wave (mm-wave) massive MIMO heterogeneous …
Remote source coding under Gaussian noise: Dueling roles of power and entropy power
The distributed remote source coding (the so-called CEO) problem is studied in the case
where the underlying source, not necessarily Gaussian, has finite differential entropy and …
where the underlying source, not necessarily Gaussian, has finite differential entropy and …
Distributed hypothesis testing with privacy constraints
We revisit the distributed hypothesis testing (or hypothesis testing with communication
constraints) problem from the viewpoint of privacy. Instead of observing the raw data directly …
constraints) problem from the viewpoint of privacy. Instead of observing the raw data directly …