2018-00806 - Connectionless Transmission in Wireless Networks (IoT)
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 2 in Networking, Telecommunications or Computer Science

Fonction : Doctorant

A propos du centre ou de la direction fonctionnelle

Located at the heart of the main national research and higher education cluster, member of the Université Paris Saclay, a major actor in the French Investments for the Future Programme (Idex, LabEx, IRT, Equipex) and partner of the main establishments present on the plateau, the centre is particularly active in three major areas: data and knowledge; safety, security and reliability; modelling, simulation and optimisation (with priority given to energy).   

The 450 researchers and engineers from Inria and its partners who work in the research centre's 31 teams, the 100 research support staff members, the high-level equipment at their disposal (image walls, high-performance computing clusters, sensor networks), and the privileged relationships with prestigious industrial partners, all make Inria Saclay Île-de-France a key research centre in the local landscape and one that is oriented towards Europe and the world.

Contexte et atouts du poste

Within the framework of a partnership

  • collaboration between Inria teams INFINE (Saclay), EVA (Paris) - and also Inria team SOCRATE
  • and with Nokia Bell Labs through the joint laboratory between Inria and Nokia Bell Labs


Mission confiée

The starting point for the thesis subject is "connectionless transmission" in the context of wireless communications (such as in Internet of Things, IoT). In some IoT scenarios, due to the massive number of IoT devices, the concept of well-controlled access has to be relaxed for efficiency (or simple feasibility). This is the case of for massive machine-type communications in cellular network [1], this often been the case in IoT networks in unlicensed networks (LoRa, Sigfox, 802.15.4-based, ...). This is the case also for some forms of vehicular communications (802.11p based or in cellular [2]).

Principales activités

The PhD thesis proposed research directions are:

In this context, the initial subject will be to construct some next-generation access protocols, for IoT (or alternately for vehicular networks).
One starting point are is the family of connectionless methods, where devices do not necessarily have to reserve resources prior to their transmission. This includes Non-Orthogonal Multiple Access (NOMA) [3], where multiple transmissions can "collide" but can still be recovered - with sophisticated multiple access protocols (MAC) that take physical layer/channel into account. One such example is the family of the Coded Slotted Aloha methods [4,5]. Another direction is represented by some vehicular communications where vehicles communicate directly which each other without necessarily going through the infrastructure. This is true also more generally in any wireless network where the control is relaxed (such as in unlicensed IoT networks like LoRa).
An observation is that in such distributed scenarios, explicit or implicit forms of signalling (with sensing, messaging, ...), can be used for designing sophisticated protocols - including using machine learning techniques [6].

During the thesis, some of the following tools could be used: protocol/algorithm design (ensuring properties by construction), simulations (ns-2, ns-3, matlab, ...) on detailed or simplified network models, mathematical modelling (stochastic geometry, etc...) ; machine-learning techniques or modelling as code-on-graphs [4,5], ...

Moreover, through cooperation with Inria Team SOCRATE, access methods and protocols could be further experimentally evaluated on the FIT CorteXLab cognitive radio testbed (for which advanced physical layer and MAC building blocks are being implemented) or on FIT IoT-LAB; and might also be theorically evaluated/compared considering optimal estimation and information theory bounds.


[1] Shariatmadari, Hamidreza, et al. "Machine-type communications: current status and future perspectives toward 5G systems." Communications Magazine, IEEE 53.9 (2015): 10-17.

[2] Z. MacHardy, A. Khan, K. Obana and S. Iwashina, "V2X Access Technologies: Regulation, Research, and Remaining Challenges," in IEEE Communications Surveys & Tutorials.

[3] Dai, L., Wang, B., Yuan, Y., Han, S., Chih-Lin, I., & Wang, Z. (2015). Non-orthogonal multiple access for 5G: solutions, challenges, opportunities, and future research trends. Communications Magazine, IEEE, 53(9), 74-81.

[4] E. Paolini, C. Stefanovic, G. Liva, and P. Popovski, “Coded random access: applying codes on graphs to design random access protocols,” IEEE Communications Magazine, vol. 53, no. 6, pp. 144–150, 2015.

[5] E. E. Khaleghi, C. Adjih, A. Alloum, and P. Muhlethaler, “Near-Far Effect on Coded Slotted ALOHA”, IoT Workshop, PIMRC 2017, oct. 2017.

[6] C. Jiang, H. Zhang, Y. Ren, Z. Han, K. C. Chen and L. Hanzo, "Machine Learning Paradigms for Next-Generation Wireless Networks," in IEEE Wireless Communications, vol. 24, no. 2, pp. 98-105, April 2017.


Avantages sociaux

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


Monthly gross salary first 2 years : 1.982 euros

Monthly gross salary  third year : 2.085 euros