Search Results for author: Samson Lasaulce

Found 13 papers, 0 papers with code

GenAINet: Enabling Wireless Collective Intelligence via Knowledge Transfer and Reasoning

no code implementations26 Feb 2024 Hang Zou, Qiyang Zhao, Lina Bariah, Yu Tian, Mehdi Bennis, Samson Lasaulce, Merouane Debbah, Faouzi Bader

Connecting GenAI agents over a wireless network can potentially unleash the power of collective intelligence and pave the way for artificial general intelligence (AGI).

Transfer Learning

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.

Transmit power policies for stochastic stabilisation of multi-link wireless networked control systems

no code implementations11 Dec 2022 Alejandro I. Maass, Dragan Nesic, Romain Postoyan, Vineeth S. Varma, Samson Lasaulce

Transmit power design in the control community has recently attracted much attention, and available works mostly consider linear systems or specific classes of non-linear systems with a single-link view of the system.

Goal-Oriented Communications for the IoT and Application to Data Compression

no code implementations10 Nov 2022 Chao Zhang, Hang Zou, Samson Lasaulce, Walid Saad, Marios Kountouris, Mehdi Bennis

Internet of Things (IoT) devices will play an important role in emerging applications, since their sensing, actuation, processing, and wireless communication capabilities stimulate data collection, transmission and decision processes of smart applications.

Data Compression

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

Allocating marketing resources over social networks: A long-term analysis

no code implementations17 Nov 2020 Vineeth S. Varma, Samson Lasaulce, Julien Mounthanyvong, Irinel-Constantin Morarescu

In this paper, we consider a network of consumers who are under the combined influence of their neighbors and external influencing entities (the marketers).

Marketing

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.

Task Oriented Channel State Information Quantization

no code implementations2 Apr 2019 Hang Zou, Chao Zhang, Samson Lasaulce

The proposed point of view is fully relevant for a receiver which has to send a quantized version of the channel state to the transmitter.

Quantization

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