Search Results for author: Lucas Saludjian

Found 6 papers, 0 papers with code

Improving MIMO channel estimation via receive power feedback

no code implementations1 Nov 2023 Chao Zhang, Hang Zou, Samson Lasaulce, Lucas Saludjian

Estimating the channel state is known to be an important problem in wireless networks.

Goal-Oriented Quantization: Analysis, Design, and Application to Resource Allocation

no code implementations30 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 $g$.

Quantization

Decision-making Oriented Clustering: Application to Pricing and Power Consumption Scheduling

no code implementations2 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.

Clustering Decision Making +2

A New Approach of Data Pre-processing for Data Compression in Smart Grids

no code implementations24 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.

Data Compression Decision Making

Decision Set Optimization and Energy-Efficient MIMO Communications

no code implementations16 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.

Decision-Oriented Communications: Application to Energy-Efficient Resource Allocation

no code implementations17 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.

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