DEL PhD Studentship 2015/16: Massive MIMO for FDD Networks

Queen's University Belfast - School of Electronics, Electrical Engineering and Computer Science

Postgraduate Studentships
Proposed Project Title: Massive MIMO for FDD Networks
Principal Supervisor: MICHAIL MATTHAIOU
 

Project Description:

In massive multiple-input multiple-output (MIMO) systems, the base station is equipped with hundreds of low-power antennas and serves tens of users simultaneously in the same time-frequency resources.

The development of massive MIMO technology over the past years, has been largely based on time-division-duplex (TDD) which exploits the uplink-downlink analogy. However, most current wireless networks are operating in the frequency-division-mode (FDD) which, however, renders the overhead requirements prohibitive. Therefore, there is strong academic and industrial interest to combine the massive MIMO paradigm with FDD by proposing new feedback reduction schemes.

Objectives:

The main objectives of this research are:

  • Explore the propagation environment to design efficient transmission schemes for FDD massive MIMO
  • Develop efficient schemes for feedback requirements’ reduction
  • Analyse the achievable rate of FDD vs TDD massive MIMO
  • Evaluate the spectral efficiency of FDD massive MIMO

Academic Requirements:

A minimum 2.1 honours degree or equivalent in Computer Science or Electrical and Electronic Engineering or relevant degree is required.

GENERAL INFORMATION

This 3 year PhD studentship, potentially funded by the Department for Employment and Learning (DEL), commences on 1 October 2015.

Eligibility for both fees and maintenance (£13,863 in 2014/15, 2015/16 TBC) depends on the applicants being either an ordinary UK resident or those EU residents who have lived permanently in the UK for the 3 years immediately preceding the start of the studentship. Non UK residents who hold EU residency may also apply but if successful may receive fees only.

Please note: DEL awards are available for Home and EU candidates only.

Applicants should apply electronically through the Queen’s online application portal at:
https://dap.qub.ac.uk/portal/

Further information available at:
http://www.qub.ac.uk/schools/eeecs/StudyattheSchool/PhDProgrammes

Contact detail

Supervisor Name: Dr Michail Matthaiou
Tel: +44 (0)28 9097 1789
QUB Address:
ECIT Institute, Queen's Road
Queen's University Belfast
Northern Ireland Science Park
Belfast, BT3 9DT
Email: m.matthaiou<στο>qub.ac.uk

Deadline for submission of applications is 27th February.

For further information on Research Area click on link below:
https://sites.google.com/site/micmatthaiou/

Apply