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DTPSCIDM: 6G RADIO ACCESS TECHNOLOGIES (RAT) WITH MACHINE LEARNING


School of Electronics, Electrical Engineering and Computer Science

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Dr T Duong No more applications being accepted Competition Funded PhD Project (Students Worldwide)

About the Project

The rapid development of the Internet of Things (IoT) and the exponential diffusion of powerful multimedia devices are drastically creating the need for a new wireless communication technology referred to as 6G. Respect to the actual network, this new type of technology will allow higher density of connected devices, as well as higher user-data rate and sub-millisecond level end-to-end latency. As result, we will assist to a new scenario in which the deployment of both real-time (RT) and near-RT services like machine-to-machine (M2M), autonomous driving, vehicle-to-vehicle (V2V) communication, will be supported. In this view, several innovative radio access technologies (RAT), such as massive-MIMO, non-orthogonal multiple access (NOMA), spatial beamforming and the concept of relay networks have been proposed as key-enabling technologies for future networks. However, the deployment of these new RAT technologies represent a very challenging task. In particular, the implementation of algorithms and intelligent optimization frameworks able to ensure low-latency communication using these new types of RAT technologies will result crucial, especially when large number of users need to be served.

Future wireless networks are required to serve a wide range of wireless devices with stringent end-to-end delay requirements. This represents a very important challenge since most of the network resources are required for signalling, channel coding and redundancy, which are likely to result in increased latency. Then, optimisation schemes aimed to manage these two opposing features will represent very important tools to perform resource allocation and management in future wireless networks. However, these schemes result in large-scale nonlinear optimisation problems for which no solutions exist. Under these perspectives, the main objectives of this DTP project will be the definition of new optimization approaches and artificial intelligence/machine learning (AI/ML) driven frameworks aimed to support ultra-reliable and near zero-latency communications (URNZLC) for a large number of users. These represent very innovative and challenging research activities which are attracting the interest of both academic and industrial sectors.

The successful candidate will be part of a vigorous research team and find all the support and technical help in order to pursue her/his research activities. In particular, her/his main activities will include:

•Acquisition of deep knowledge and understanding of cutting-edge technologies for future wireless access networks, as well as the relevant network key performance indicators (KPI) used for performing network resource management, i.e. load balancing, user scheduling, bandwidth assignment, and transmitting power allocation;

•Definition of challenging large scale optimisation problems aimed to increase network performances by guaranteeing ultra-reliable and near zero-latency communications;

•Investigation of the most relevant and contemporary techniques which will permit to propose and evaluate innovative AI/ML based frameworks able to meet the requirements of the defined URNZLC optimisation problems.

ELECTRICAL & ELECTRONIC ENGINEERING OVERVIEW

The School of Electronics, Electrical Engineering and Computer Science (EEECS) aims to enhance the way we use technology in communication, data science, computing systems, cyber security, power electronics, intelligent control, and many related areas.

You’ll be part of a dynamic doctoral research environment and will study alongside students from

over 40 countries worldwide; we supervise students undertaking research in key areas of electronics and

electrical engineering, including: power electronics,robotics, wireless communications, cybersecurity and sensor-based systems. As part of a lively community of over 100 full-time and part-time research students you’ll have the opportunity to develop your research potential in a vibrant research community that prioritises the cross-fertilisation of ideas and innovation in the advancement of knowledge.

Within the School we have a number of specialist research centres including a Global Research Institute, the Institute of Electronics, Communications and Information Technology (ECIT) specialising in Cyber Security, Wireless Innovation and Data Science and scalable computing.

Many PhD studentships attract scholarships and top-up supplements. PhD programmes provide our students with the opportunity to acquire an extensive training in research techniques.

Electrical & Electronic Engineering Highlights

Professional Accreditations

  • ECIT brings together, in one building, internationally recognised research groups specialising in key areas of advanced digital and communications technology.

Industry Links

  • CSIT brings together research specialists in complementary fields such as data security, network security systems, wireless-enabled security systems, intelligent surveillance systems; and serves as the national point of reference for knowledge transfer in these areas.
  • Electric Power and Energy Systems research is focused on problems related to distributed sources of energy and their integration into power networks. The cluster is a member of the IET Power Academy and is a major collaborator on all-island energy research.
  • SoCaM is dedicated to the design of advanced, integrated, high-speed wireless and couples activities in High Frequency Electronics, System-on-Chip, Signals and Systems and Digital Signal Processing, and for Gigabit/sec wireless.

World Class Facilities

  • The Institute of Electronics, Communications and Information Technology, with state-of-the-art technology, offers a bespoke research environment.

Internationally Renowned Experts

  • You will be working under the supervision of leading international academic experts.

Key Facts

Research students are encouraged to play a full and active role in relation to the wide range of research activities undertaken within the School and there are many resources available including:

  • Access to the Queen's University Postgraduate Researcher Development Programme
  • A wide range of personal development and specialist training courses offered through the Personal Development programme
  • Office accommodation with access to computing facilities and support to attend conferences for full-time PhD students

COURSE CONTENT

Research Information

Associated Research

Research within the School is organised into research themes.

ECIT brings together, in one building, internationally recognised research groups specialising in key areas of advanced digital and communications technology.

Electric Power and Energy Systems research is focused on problems related to distributed sources of energy and their integration into power networks. The cluster is a member of the IET Power Academy and is a major collaborator on all-island energy research.

SoCaM is dedicated to the design of advanced, integrated, high-speed wireless and couples activities in High Frequency Electronics, System-on-Chip, Signals and Systems and Digital Signal Processing, and for Gigabit/sec wireless.

PhD Opportunities

PhD opportunities are available in a wide range of subjects in electronics and electrical engineering, aligned to the specific expertise of our PhD supervisors.

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