IAS

Themes

The organization of the IAS team relies on the three main fields of expertise covered by its members: Algorithms for communications, Architectures of digital systems and design of analog and mixed Circuits. This expertise is supported by an experimental activity aimed at validating the outcomes through the development of prototypes and test campaigns.

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Algorithms

The primary goal of the Algorithms activity is to maintain a high-level expertise in the field of iterative and distributed information processing for digital communications. Besides, beyond the telecommunications sector, it aims at using distributed information processing to gain a better understanding of brain. The Algorithms activity focuses on five non-disjoint topics:

  • channel coding and coded modulations – initial research field interest of the team in cooperation with the COM team,
  • coded transmissions, i.e. the study of the interaction between the channel coding block  and  the rest of the transmission system,
  • the development of adaptive algorithms in connection with the knowledge of the propagation environment,
  • the issue of resource allocation in networks, and
  • the problem of mental information modelling and transmission within the brain.

Architectures

In close interaction with the Algorithms activity, the Architectures activity focuses on developing original architectures to implement algorithms using innovative design methodologies able to take the application constraints into account. Two classes of architectures are being investigated, depending on the application constraints and the target manufacturing technology:

  • highly optimized hardware architectures for specific applications (e.g. targeting very high throughput, low energy consumption or low complexity),
  • new paradigms of architectures and design methodologies to address the challenge of flexibility (e. g. ASIP, MPSoC, NoC) -- in collaboration with the MOCS team.

Circuits

The Circuits activity brings to together the skills in the team that are close to silicon, especially related to the design of analog and mixed circuits. One of its purposes is to provide alternative analog implementations for existing functions, for instance in the field of digital communications, but a more general focus is the hardware analog and mixed implementation of data processing functions and mathematical operators. This approach appeared to be relevant and useful in specific application sectors  such as biomedical and energy  management – in collaboration with the DIM team.

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