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Structure and content

D 13 July 2020    

Technical track

To be chosen between the "physical-layer" and "computer netwoks" (see content below).

Physical layer track

Profs.: Meryem Benammar, Charly Poulliat, Damien Roque.

  • Unit Phy1: Coding and security (18h - 3 ECTS)
    • Introduction to information theory. We will see how elegant statistical concepts govern every communication system, from forward error correction coding to cryptography.
    • Avanced error correction coding. We will focus on iterative decoders and other capacity approaching techniques.
    • Physical layer security. We will show that cryptography is not the only way to achieve security; the communication channel itself can be seen as an under-use source of randomness.
  • Unit Phy2: Advanced waveform design (18h - 3 ECTS)
    • Time-frequency selective channels. We will model and simulate multipath and Doppler affected channels, with examples in the case cellular systems.
    • Multicarrier modulations (OFDM). We will develop and simulate a low-complexity equalization technique to face multipath channels (as in Wifi, LTE, DVB-T...).
    • Multiantenna techniques (MIMO). We will take advantage of the multipath nature of the channel to increase throughput or robustness (as in Wifi, 5G...).

Network track

Profs.: André-Luc Beylot, Emmanuel Chaput, Gentian Jakllari, José Radzik, Mickaël Royer.

  • Unit Net1: Delay Tolerant Networks, a discrete-event simulation approach (12h - 2 ECTS)
    • Introduction to network simulation and Omnet++ (with tic toc tutorial), simulation of a wireless network with Omnet++.
    • CCSDS protocol stack for interplanetary Internet, delay tolerant protocols.
    • Custody transfers, optimization of the protocol stack.
  • Unit Net2: The Edge of the Internet of Things (24h - 4 ECTS)
    • Fog and edge computing both introduce a partially decentralised architecture for application deployment with compelling features (low latency and flexible storage and computing service) for IoT applications.
    • Network Functions Virtualization (NFV) is one of the building blocks of such an application. We will see here how this concept can be used to setup IoT services.
    • Software-defined networking (SDN) is a network management paradigm allowing a centralized dynamic network configuration. Such a versatile network management is needed in this context.
    • Virtualization techniques allow to setup datacenters on the edge of the network. We will study application implementation and migration in a cloud/fog/edge environment.
    • Machine learning is the core technology of lots of IoT applications. We will study how to distribute some of its main components over an edge architecture.
    • Information Centric Networks (ICN) introduce some interesting features for IoT applications, such as naming, mobility, caching...

Research project

Students team-up (from 2 to 5 students per group) to carry out a short research project (32h - 6 ECTS), including a state-of-the-art study, reproduction of literature results, contribution, communication on the topic (written and oral, organized as a mock conference).

Examples of previously issued research statements:

  • enabling the Internet of Things;
  • auto-encoder based communications;
  • satellite channel impairments and countermeasures;
  • LoRa, a standard for future IoT communications;
  • on the relevance of symplectic Fourier transform precoding for multicarrier communications;
  • DTN techniques for LEO Earth observation satellite telecommunication links;
  • binary and non binary Channel coding for NOMA;
  • deep Unrolled Detection methods for MIMO and ISI channels.

Note: research projects may be initiated jointly by the students and their professors.

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Monday 13 July 2020