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110 search results for: home network

1

5G & 6G: the antennas that shape networks

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In a context of constantly growing needs for data transmission, 5G and 6G networks must comply with increasingly strict technical obligations in terms of flexibility, miniaturization, and energy optimization. Solutions explored by researchers include optimal management of radiation patterns and the development of concrete applications for millimeter wave frequencies. Two projects, YACARI and PIIEC ME/CT, are tackling the technical obstacles to these approaches by combining different antenna technologies.

2

No more, no less: energy-efficient networks for 5G

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Faced with the expansion of 5G and the challenges of 6G, energy restraint and exposure to electromagnetic fields are becoming major issues for the networks of tomorrow. Between optimizing infrastructures, mobile sensors and prediction models, scientists are striving to reconcile performance, lower consumption and quality of service. Just Enough Network, a project co-led by Télécom Paris, is therefore trying to build networks that are ‘just enough’ to meet our needs, without surplus or wastage.

3

PERSEUS makes a breakthrough for cell-free networks

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Despite all the promises of 5G, current networks are struggling to ensure seamless connectivity in dense or complex environments. To tackle this problem, the PERSEUS project is developing solutions for cell-free networks in which distributed antenna work together to provide a more fluid service. Based on technologies such as distributed MIMO and new-generation waveforms, the IMT Atlantique research teams involved in the project are trying to solve the technical challenges posed by this new approach.

4

Boosting tomorrow’s IoT networks

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The goal of the FITNESS project is to develop networks capable of adapting to the needs of massive IoT, industrial IoT and connected transport solutions. The project is supported by the expertise of several IMT schools to address the challenges that arise from the densification of connected objects, more robust applications, energy management and various protocols, and to optimize the performance of networks in real time.

5

What are neural networks?

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Neural networks are AI models designed by machine learning. They are inspired by the workings of the human brain and allow machines to carry out different tasks autonomously. Using large quantities of data as examples, they can be trained in image recognition or text analysis. Beyond their predictive performance, a number of scientific challenges still need to be resolved, concerning the understanding of their limits, reliability of their use, and their acceptability, in addition to ethical issues such as energy consumption. Stephan Clémençon, a researcher in artificial intelligence at Télécom Paris, explains more.

6

2G to 5G: the ongoing transformation of mobile networks

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Mobile networks are constantly evolving, with every decade ushering in a new generation. In this article, Meroua Moussaoui, PhD student at Telecom SudParis, explains just how these networks behind our mobile phones work. She also gives us a sneak peek at the features we might experience after 5G.

8

When AI keeps an ear on nursing home residents

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The OSO-AI start-up has recently completed a €4 million funding round. Its artificial intelligence solution that can detect incidents such as falls or cries for help has convinced investors, along with a number of nursing homes in which it has been installed. This technology was developed in part through the work of Claude Berrou, a […]

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CiViQ: working towards implementing quantum communications on our networks

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End 2018, the CiViQ H2020 European project was launched for a period of three years. The project aims to integrate quantum communication technologies into traditional telecommunication networks. This scientific challenge calls upon Télécom Paris’ dual expertise in both quantum cryptography and optical telecommunication, and will provide more security for communications. Romain Alléaume, a researcher in […]

10

Smart homes: A world of conflict and collaboration

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The progress made in decentralized artificial intelligence means that we can now imagine what our future homes will be like. The services offered by a smart home to its users are likely to be modeled on appliances which communicate and cooperate with each other autonomously. Today, this approach is considered the best way to control […]