Multi-Objective Optimization For Realization Of Compact Supergain Antennas

Universities and Institutes of France

France

May 15, 2022

Description

  • Organisation/Company: Institut d'Électronique et de Télécommunications de Rennes
  • Research Field: Physics › Electromagnetism Physics › Electronics Physics › Mathematical physics
  • Researcher Profile: First Stage Researcher (R1)
  • Application Deadline: 15/05/2022 00:00 - Europe/Brussels
  • Location: France › Rennes
  • Type Of Contract: Temporary
  • Job Status: Full-time
  • Hours Per Week: 35
  • Offer Starting Date: 01/11/2022
  • Multi-objective optimization for realization of compact supergain antennas

    Laboratory: Institut d'Electronique et des Technologies du numéRique (IETR), UMR CNRS 6164,

    University of Rennes 1, Rennes – France.

    Supervisors: Sylvain COLLARDEY, associate professor at University of Rennes 1, Ala SHARAIHA, Professor at University of Rennes 1

  • Context
  • This thesis is part of the need for new miniature antenna architectures for future generation mobile networks. New technologies require the integration of ever more compact radio frequency systems associated with antenna diversity techniques, beamforming, ... These technologies are well known to reduce the adverse effects of the propagation channel, make a more reliable radio link and increase its channel capacity. The evolution of communication systems requires the development of miniature radiating structures to ensure the coexistence of many different standards in the same box but also capable of producing directional beamforming radiation (or multi-beam) in order to make radio links to several users more reliable and to limit electromagnetic pollution.

  • Objectives of the PhD
  • The objective of the thesis is to develop new compact and superdirective antennas for fixed and mobile radio access points for wireless technologies, 5G and its future evolutions. The reduction of antenna dimensions produces a quasi-isotropic radiation and leads to the degradation of critical performances (bandwidth, efficiency) to meet the needs of wireless technologies. The so-called superdirective antennas theorized by I. Uzkov 1 ensure specifications such as compactness and directivity and should be able to respond to the problems posed by future communication systems. The scientific problems highlighted by numerous publications are linked to the very nature of these antennas, i.e. reduced bandwidths, low efficiencies due to stored energy and strong inter-element coupling to achieve superdirectivity. The studies carried out at the IETR 2 have made it possible to develop approaches to improve the physical understanding and design of superdirective antennas and have highlighted limitations in efficiency and bandwidth.

    To overcome these limitations, the work carried out in the framework of the thesis should contribute to new approaches for the analysis, optimization and synthesis of compact superdirective antennas. Based on existing tools based on the analysis of characteristic modes, the use of new optimization techniques and also methodologies with the use of deep learning should allow for a better joint optimization of the directivity and matching of the antenna in order to improve its bandwidth and efficiency and converge towards the design of supergain antennas.

  • Proposed works
  • In this study, the work will evaluate new multi-objective optimization algorithms as well as convex optimization to speed up the process and assess the ability of these tools to effectively achieve joint optimization of directivity, bandwidth and efficiency for superdirective antennas. In addition, the work will evaluate machine learning approaches such as neural networks to improve the optimization methods used. The thesis will be carried out in several phases with first of all the realization of an exhaustive state of the art on optimization methods and superdirective antennas. A second stage will involve appropriating existing tools and integrating new optimization approaches. It will also be necessary to study the limits of these tools by developing compact superdirective antennas that will enable the specifications required by future wireless communication networks to be met. A final step will be to evaluate the ability of the algorithms used to generate in a given environment an optimal directivity in any direction.

    1 I. Uzkov, An Approach to the Problem of Optimum Directive Antennae Design, Comptes rendues (Doklady) de l'académie des sciences de l'URSS, 1946.

    2 H. Jaafar, S. Collardey and A. Sharaiha, "Characteristic Modes Approach to Design Compact Superdirective Array With Enhanced Bandwidth," in IEEE Transactions on Antennas and Propagation , vol. 66, no. 12, pp. 6986-6996, Dec. 2018, doi: 10.1109/TAP.2018.2874691.

    Selection process

    The candidature file submitted must be of high quality; send a CV, Motivation Letter, recommendation letters + marks and diploma obtained over the last five years. A job interview will be organised after reviewing the application.

    Offer Requirements
  • REQUIRED LANGUAGES
  • FRENCH: Good

    ENGLISH: Good

    Skills/Qualifications

    Master or equivalent degree in electrical engineering, physics or mathematics.

    Contact Information
  • Organisation/Company: Institut d'Électronique et de Télécommunications de Rennes
  • Organisation Type: Higher Education Institute
  • Website: https: // www. ietr.fr/
  • Country: France
  • City: Rennes
  • State/Province: Bretagne
  • Postal Code: 35042 Cedex
  • Street: 263 Avenue du Général Leclerc