ADVANCED 5G WIRELESS TECHNOLOGIES - 2021/2
Module code: EEEM061
In light of the Covid-19 pandemic the University has revised its courses to incorporate the ‘Hybrid Learning Experience’ in a departure from previous academic years and previously published information. The University has changed the delivery (and in some cases the content) of its programmes. Further information on the general principles of hybrid learning can be found at: Hybrid learning experience | University of Surrey.
We have updated key module information regarding the pattern of assessment and overall student workload to inform student module choices. We are currently working on bringing remaining published information up to date to reflect current practice in time for the start of the academic year 2021/22.
This means that some information within the programme and module catalogue will be subject to change. Current students are invited to contact their Programme Leader or Academic Hive with any questions relating to the information available.
Expected prior/parallel learning: It is helpful but not essential to have knowledge of linear algebra, probabilities and stochastic processes as well as fundamental skills in computer programming and have studied EEEM017 - Fundamentals of Mobile Communications, EEE3006 Digital Communications and EEEM062 – Applied Mathematics for Communication Systems.
Module purpose: The purpose of this module is to provide students with knowledge about some of the key concepts that will shape the next generations of mobile and wireless communications systems, i.e. 5G mobile radios. This will ensure that the students completing this module will have the necessary knowledge and ability for starting to work on 5G technology in industry or furthering their understanding via a research degree.
Electrical and Electronic Engineering
NIKITOPOULOS Konstantinos (Elec Elec En)
Number of Credits: 15
ECTS Credits: 7.5
Framework: FHEQ Level 7
JACs code: H641
Module cap (Maximum number of students): N/A
Overall student workload
Independent Learning Hours: 96
Tutorial Hours: 11
Laboratory Hours: 11
Guided Learning: 10
Captured Content: 22
Prerequisites / Co-requisites
Indicative content includes the following:
INTRODUCTION TO FUTURE TECHNOLOGIES
What is 5G? – (i.e. what are the drivers of 5G, overview of the candidate technologies and techniques that will shape the future of communication systems)
5G KEY CONCEPT AND TECHNOLOGIES
Advanced Waveforms and Air-Interfaces – (e.g. FBMC, UFMC and GFDM Multicarrier communication, transmitter and Receiver)
Advanced MIMO concepts – (e.g. massive MIMO, multi-user MIMO)
Advanced Detection Methods – (e.g., non-linear, soft-input soft-output)
Advanced Multiple Access Methods – (e.g., non-orthogonal multiple access)
INTRODUCTION TO DEMONSTRATION AND VALIDATION VIA SIMULATIONS
(e.g., Simulation of advanced MIMO systems, advanced detection/decoding methods)
|Assessment type||Unit of assessment||Weighting|
|Coursework||PROGRAMMING LAB AND TUTORIAL ASSIGNMENT||20|
|Examination Online||ONLINE (OPEN BOOK) EXAM WITHIN 24HR WINDOW||80|
Not applicable: students failing a unit of assessment resit the assessment in its original format.
The assessment strategy for this module is designed to:
· Showcase students’ ability to translate their knowledge and understanding into a working communication system prototype, which will be based on a computer-based practical assessment.
· Help students to demonstrate that they have achieved all the learning outcomes related to the key concepts of 5G radio. The written exam will assess their understanding of the various advanced communication techniques taught in this module, the underlying principles and their basic working. The exam will also assess their conceptual understanding and ability to discuss the advantages, drawbacks and complementarities of the various 5G techniques. Moreover, it will assess their ability to analyse further some of these techniques by including numerical problems and design problems in the examination.
Thus, the summative assessment for this module consists of the following.
· 2-hour, closed-book written examination at the end of the module teaching during the examination week
· 1 written assignment (students will report on their computer-based practical work) within the duration of the module. The estimated time for carrying out the assignment work and writing up report is about 30 hours.
Formative assessment and feedback
For the module, students will receive formative assessment/feedback in the following ways.
· During lectures, by question and answer sessions
· During lectures, by electronic voting
· Online feedback for online tutorials
- The aim of this module is to provide an introduction to some of the most promising advanced concepts in the field of wireless communications, as well as provide an introduction of the potential gains and challenges when applying them to the next generation of mobile systems (e.g., 5G) .
|1||Define and understand what the key 5G technologies are, why they are needed, and how they can shape future communication systems||K|
|2||Explain the principles of advanced waveforms and air interfaces.||KC|
|3||Explain the principles of advanced multi-input multi-output (MIMO) concepts for future wireless communication systems||KC|
|4||Explain and compare/contrast different design choices for future wireless communication systems||KC|
|5||Show ability to validate advanced concepts via simulations||PT|
C - Cognitive/analytical
K - Subject knowledge
T - Transferable skills
P - Professional/Practical skills
Methods of Teaching / Learning
The learning and teaching strategy is designed to:
- Consolidate students’ knowledge and skills obtained in other modules related to wireless communications;
- Develop student knowledge regarding the latest physical layer concepts in wireless communications;
- Promote active learning and practice based learning by using concept validation techniques
Learning and teaching methods include the following:
- Lectures and tutorials: 2 hour lecture per week x 11 weeks
- Matlab based IT lab: 1 hour lecture per week x 11 weeks
- Self study from the lectures and use of tutorial sheets.
Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.
Upon accessing the reading list, please search for the module using the module code: EEEM061
Programmes this module appears in
|Electronic Engineering (by short course) MSc(EEE OPTIONAL)||2||Optional||A weighted aggregate mark of 50% is required to pass the module|
Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2021/2 academic year.