Large massive-MIMO design and Artificial Intelligence aided optimisation

Large massive-MIMO is a novel MIMO paradigm for future communication systems (e.g. 6G). It includes systems such as cell-free MIMO, distributed MIMO, network MIMO, radio stripes and holographic MIMO. This project aims to develop advanced signal processing techniques, channel models, and communication protocols for large massive-MIMO. Moreover, we seek to employ artificial intelligence to further optimise the MIMO systems.

Start date
1 October 2020
Duration
36 months
Application deadline
Funding information

Fully funded by Huawei / Surrey Joint Lab project “Large Scale mMIMO”

This is a fully funded studentship with an annual standard stipend of approx. £15,000.

About

Large mMIMO is expected to provide orders-of-magnitude higher area throughput in wireless networks compared to what mMIMO with compact arrays can practically deliver.

This project aims to research scalable antenna precoding and combining algorithms for large mMIMO systems (e.g., cell-free MIMO, network MIMO and radio stripes) incorporating new MIMO channel characteristics, including the radiative near-field propagation and the channel spatial non-stationarity, as well as practical fronthaul architectures and capacity constraints.

To achieve this goal, we will leverage previous contributions in scalable large-MIMO antenna precoding and combining by integrating soft-decoding and message passing, adaptive modulation, iterative interference cancellation, as well as deep learning.

Eligibility criteria

It is essential to have a MSc (Distinction or equivalent) in Telecommunications or related areas. Preferably to have a strong track record in peer-reviewed IEEE journal publications and a background in MIMO signal processing and/or artificial intelligence aided communication systems design.

Open to all nationalities.

If English is not your first language, you will be required to have an IELTS Academic of 6.5 or above (or equivalent), with no sub-test score below 6.

How to apply

Applications should be sent through the Institute for Communication Systems PhD course page.

Please clearly state the studentship title and supervisor on your application.


Application deadline

Contact details

Yi Ma
07 CII 01
Telephone: +44 (0)1483 683609
E-mail: Y.Ma@surrey.ac.uk

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