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Courses / Modules / ELEC6253 Machine Learning for Wireless Communications

Machine Learning for Wireless Communications

When you'll study it
Semester 2
CATS points
15
ECTS points
7.5
Level
Level 7
Module lead
Mohammed El-Hajjar
Academic year
2021-22

Module overview

The aim of the module is to introduce students to the fundamentals of machine learning and then to apply the advanced machine learning principles for the design and optimisation of wireless communications systems and mobile networks.

Recently, the research and development in wireless communications have been focused on the techniques for the fifth generation (5G) wireless systems and the potential to make these networks intelligent by adding machine learning. Therefore, this course motivates to deliver a general introduction and fundamentals of machine learning followed by the application of machine learning in the design of physical layer techniques in wireless communications and in the optimisation of mobile networks.

Exclusions: Cannot be taken with COMP3222 or COMP3223 or COMP6245 or COMP6246 or COMP6208.

Linked modules

Pre-requisites: ELEC3203 or ELEC3204 or ELEC3218

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