2018-00888 - From finite blocklength information theory to multi-user M2M communication protocols
Le descriptif de l’offre ci-dessous est en Anglais

Type de contrat : CDD de la fonction publique

Niveau de diplôme exigé : Bac + 5 ou équivalent

Autre diplôme apprécié : Master in applied mathematics, signal processing or computer science

Fonction : Doctorant

Niveau d'expérience souhaité : Jeune diplômé

A propos du centre ou de la direction fonctionnelle

Grenoble Rhône-Alpes Research Center groups together a few less than 800 people in 35 research teams and 9 research support departments.

Staff is localized on 5 campuses in Grenoble and Lyon, in close collaboration with labs, research and higher education institutions in Grenoble and Lyon, but also with the economic players in these areas.

Present in the fields of software, high-performance computing, Internet of things, image and data, but also simulation in oceanography and biology, it participates at the best level of international scientific achievements and collaborations in both Europe and the rest of the world.

Contexte et atouts du poste

Within the framework of a partnership (you can choose between)

  • collaboration between Inria teams SOCRATE (Lyon), AGORA (Lyon), INFINE (Saclay) and EVA (Paris).
  • with Nokia Bell Labs through the joint laboratory between Inria and Nokia Bell Labs.

 

a package/model/prototype/application/interface/infrastructure/other specify *****
more specifically dedicated to *****.

 

  • access to the national FIT/CorteXlab experimental testbed (http://www.cortexlab.fr).

 

 

Mission confiée

Assignments :
Under the supervision of Prof. Jean-Marie Gorce (INSA Lyon / Inria) and Dr Philippe Jacquet (Nokia  / Bell Labs), the recruited candidate will develop a cutting edge research to model, analyze and design new low-layer collaborative protocols for M2M communications.

For a better knowledge of the proposed research subject :
Despite its 60 years of existence, information theory is still a very exciting research domain.The new era of machine to machine (M2M) communications brings to us a new paradigm characterized by three main features :

  • Information to be exchanged is made of numerous, rare,very small information quantities spread over the network.
  • Usual signaling techniques (headers, pilots, ...) play a critical role and may represent the  main part of the data flows circulating in the network.
  • Ultra Reliable and Low Latency Communications (URLLC) required for haptic services, impose extremely reactive protocols, which require new PHY/MAC designs.

The objective of this PhD is to propose a comprehensive theoretical framework and to develop new collaborative coding techniques adapted to this new paradigm.

 

Collaboration :
The recruited person will work under the supervision of Prof. Jean-Marie Gorce in the team Socrate of Inria, located at CITI laboratory at INSA Lyon, in strong connection with the Nokia Bell Labs research centre, and in collaboration three other teams of Inria: AGORA, INFINE and EVA.

 

Principales activités

In the context of the coming fifth generation of wireless networks (5G), and the exponential development of  Internet of Things (IoT), the development of new protocols devoted to ultra reliable and low latency communications (URLLC) is mandatory, which change deeply the paradigm of wireless networks. Indeed, current wireless communication protocols have been essentially optimized for high rates data flows under steady-state regime or full buffer conditions. But future IoT networks will be rather transient with bursty communications.

Therefore, our objective is to design on-the-fly protocols allowing any radio node to transmit almost instantaneously a short packet of information in the network, to one or several destinations, avoiding complex synchronization, scheduling and coordination. This kind of communication is a key issue for future 5G (and beyond) communications in order to control vehicules, drones, robots and any other non-human things in real time.

The optimization of URLLC IoT protocols thus requires to reshape almost completely the communication protocol stack to balance latency and reliability with side constraints such as energy efficiency or computational complexity.

The key elements for these communications are to reduce drastically the needs for synchronization, signalling and detection issues. The packet should be encoded such that all these steps can be performed jointly to avoid costy and long headers to be transmitted.

The proposed approach will rely on estimation theory and hypothesis testing techniques to design new optimal techniques to transmit very short packets (typically less than 100 bits) in a multi-user scenario. The key issue for such problem is to increase diversity at the receiver : multi-antennas reception, opportunistic relaying, joint transmission, multi-user detections are fundamental techniques that have to be reshaped in the context of small packets.

We will take care about the multi-objective framework : increasing reliability should not be done at a high price in terms of complexity or energy efficiency.

The candidate will leverage on recent results in information theory and on hypothesis testing to establish new performance bounds and to derive some fundamental trade-offs (e.g. energy-reliability, latency-reliability, energy-capacity,...), leading to the characterization of optimal multi-user transmission schemes in the Bayesian sens.

This framework will help to design new distributed coding techniques including opportunistic cooperation and relaying.The performance of the proposed algorithms will be confronted to the theory, validated by simulation and experimentally assessed on the plateform FIT/CorteXlab.

Some references relative to this topic :
[1] Durisi, G., Koch, T., & Popovski, P. (2016). Toward massive, ultrareliable, and low-latency wireless communication with short packets. Proceedings of the IEEE, 104(9), 1711-1726.

[2]Trillingsgaard, K. F., Yang, W., Durisi, G., & Popovski, P. (2017). Common-Message Broadcast Channels with Feedback in the Nonasymptotic Regime: Full Feedback. arXiv preprint arXiv:1706.07731.

[3] Polyanskiy, Y. (2017, June). A perspective on massive random-access. In Information Theory (ISIT), 2017 IEEE International Symposium on (pp. 2523-2527). IEEE.

[4] Ordentlich, O., & Polyanskiy, Y. (2017, June). Low complexity schemes for the random access Gaussian channel. In Information Theory (ISIT), 2017 IEEE International Symposium on (pp. 2528-2532). IEEE.

[5] Avranas, A., Kountouris, M., & Ciblat, P. (2018). Energy-Latency Tradeoff in Ultra-Reliable Low-Latency Communication with Retransmissions. arXiv preprint arXiv:1805.01332.

[6] Gorce, J. M., Poor, H. V., & Kelif, J. M. (2016, December). Spatial continuum model: Toward the fundamental limits of dense wireless networks. In Global Communications Conference (GLOBECOM), 2016 IEEE (pp. 1-6).

[7] Massouri, A., Cardoso, L., Guillon, B., Hutu, F., Villemaud, G., Risset, T., & Gorce, J. M. (2014, April). CorteXlab: An open FPGA-based facility for testing SDR & cognitive radio networks in a reproducible environment. In Computer Communications Workshops (INFOCOM WKSHPS).

[8] Egan, M., Clavier, L., De Freitas, M., Dorville, L., Gorce, J. M., & Savard, A. (2017, December). Wireless Communication in Dynamic Interference. In IEEE Global Communications Conference (GLOBECOM).

Compétences

Technical skills and level required :

  • theoretical background : probability and statistics, algebra, functional analysis, optimization theory, signl processing.
  • specialization in one of these fields: estimation theory, measure theory, information theory, coding.
  • programming : familiar with Matlab, Python or C/C++ languages.

  • experience in GNU radio programming is not mandatory but would be appreciated.

Languages :

  • English: read/write/speak fluently.
  • French is optional. 

Relational skills :

  • Strong autonomy, innovation, ideas.
  • Like to collaborate, to confront ideas.
  • Open mind.

Avantages sociaux

  • Subsidised catering service
  • Partially-reimbursed public transport
  • Social security
  • Paid leave
  • Flexible working hours
  • Sports facilities

Rémunération

Gross income : 1982€ the 1st and 2nd year; 2085€ the 3rd year.