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Annonce

30 juin 2017

PhD Position: Radio resource management for massive and dense IoT Networks


Catégorie : Doctorant


Financement: projet Enhanced Physical Layer for cellular IoT networks;

Laboratoire d'accueil: LISITE, ISEP Paris, 10 rue de vanves, 92130 Issy Les Moulineaux.

Partenaires du projet: Sequans, CEA Grenoble, Centrale Supelec, INSA Lyon

Page web du projet: https://project.inria.fr/ephyl/en/

Encadrement de thèse: lina.mroueh@isep.fr

Date de début de thèse: octobre 2017.

Thesis description

Today an estimated 15 billion of connected objects communicate with each other’s. These connected objects that compose the Internet of Things (IoT) are expected to extend to 50 or 80 billion worldwide by 2020. The technology connecting the smart objects of the IoT is extremely varied: some objects are connected through a local access point using WiFi, Zigbee or Bluetooth and rely on the connectivity of the access point to access a wider network; others rely on a communication infrastructure to convey the information (Cellular access). Over the past few years, new approaches often referred as Low Power Wide Area (LPWA) networking technologies have emerged from the shadows.

A crucial criteria design in IoT LPWA network is to minimize the occurrence of radio resource outage event that arises when the number of requested resources is higher than the available ones. Within this thesis, a statistical estimation of the required number of physical radio resources depending on the requested multi-QoS MTC rate, the interference, the scheduling policy (for the licensed band case) or the contention mode (in unlicensed band case) using statistical tools from stochastic geometry and marked point process will be carried out. Radio Resource Management algorithms will be then proposed to optimize the energy efficiency in b/s/Hz/W and to load balance the data among the existing cellular and the low Machine type communications (MTC) networks.The design of receiver with multiple transmit antennas will be finally addressed in this thesis. The spatial dimensions introduced at the receiver side can be used either to enhance the receiver sensitivity using diversity techniques and/or to multiplex different IoT devices on the same physical radio resource. Dynamic and adaptive strategies will be developed to ensure a tradeoff between receiver sensitivity and multi-user multiplexing gain.

Profile

The candidate should have completed a master’s degree (or equivalent) in electrical engineering, computer science, or related fields.

Contact

Lina MROUEH (lina.mroueh@isep.fr)

ISEP, 10 rue de vanves 92130 Issy Les Moulineaux

 

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