Machine Learning for Wireless Communications

Learning Outcomes

Subject Specific Intellectual and Research Skills

Having successfully completed this module you will be able to:

• apply machine learning principles in the design of some physical layer techniques in wireless communications
• design and optimise intelligent mobile networks by applying the principles of machine learning
• apply the mathematical principles of probability, linear algebra and optimisation
• understand the principles of machine learning and apply the fundamental principles for regression and classification

Knowledge and Understanding

Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:

• The application of machine learning in network design
• The fundamentals of Machine learning
• The application of machine learning in the design of physical layer techniques for wireless communications

General introduction and fundamentals of machine learning

• Introduction to learning and machine learning: supervised/unsupervised/reinforcement learning
• Revision of probability and statistics revision
• Revision of linear algebra
• Fundamentals of numerical optimisation
• Introduction to machine learning assisted linear regression and classification

Machine learning for wireless communications

• Machine learning for physical layer design

1- Adaptive modulation and coding (AMC): classical AMC, using support vector machines, using k-nearest

neighbours, using k-means, using reinforcement learning

2- Code Division Multiple Access (CDMA): classical design, using learning such as ACO/GA

3- Precoder design: classical design, channel prediction using deep learning

• Machine learning for mobile network design

1- User grouping/clustering in D2D, HetNets for offloading

2- Traffic prediction and interference management in HetNets

3- Clustering of small cells in Hetnet to avoid interference in CoMP

The teaching and learning methods of the module include lectures, tutorials, coursework, coursework feedback, etc.

Summative

This is how we’ll formally assess what you have learned in this module.

Referral

This is how we’ll assess you if you don’t meet the criteria to pass this module.

Repeat

An internal repeat is where you take all of your modules again, including any you passed. An external repeat is where you only re-take the modules you failed.