no code implementations • 1 Nov 2023 • Chao Zhang, Hang Zou, Samson Lasaulce, Lucas Saludjian
Estimating the channel state is known to be an important problem in wireless networks.
no code implementations • 30 Sep 2022 • Hang Zou, Chao Zhang, Samson Lasaulce, Lucas Saludjian, Vincent Poor
The task is modeled by the minimization problem of a general goal function $f(x;g)$ for which the decision $x$ has to be taken from a quantized version of the parameters $g$.
no code implementations • 2 Jun 2021 • Chao Zhang, Samson Lasaulce, Martin Hennebel, Lucas Saludjian, Patrick Panciatici, H. Vincent Poor
For this purpose, we formulate the framework of decision-making oriented clustering and propose an algorithm providing a decision-based partition of the data space and good representative decisions.
no code implementations • 24 Nov 2020 • Yifei Sun, Hang Zou, Samson Lasaulce, Michel Kieffer, Lucas Saludjian
The conventional approach to pre-process data for compression is to apply transforms such as the Fourier, the Karhunen-Lo\`{e}ve, or wavelet transforms.
no code implementations • 16 Sep 2019 • Hang Zou, Chao Zhang, Samson Lasaulce, Lucas Saludjian, Patrick Panciatici
We propose a framework to find a good (finite) decision set which induces a minimal performance loss w. r. t.
no code implementations • 17 May 2019 • Hang Zou, Chao Zhang, Samson Lasaulce, Lucas Saludjian, Patrick Panciatici
In this paper, we introduce the problem of decision-oriented communications, that is, the goal of the source is to send the right amount of information in order for the intended destination to execute a task.