ADVANCED MOBILE COMMUNICATIONS SYSTEMS - 2022/3
Module code: EEEM018
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 during 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: N/A
Module purpose: Mobile communications systems have been among the fastest growing sectors of the global economy in the past decade, and are expected to drive tremendous developments in the upcoming decade. Modern mobile communication systems employ a range of advanced wireless communication techniques and networking technologies/protocols to deliver high rate and high quality services for a variety of mobile applications. This module aims to cover a number of key advanced concepts that are either used in the modern mobile communication systems or expected to be deployed in the future.
Electrical and Electronic Engineering
TAFAZOLLI Rahim (Elec Elec En)
Number of Credits: 15
ECTS Credits: 7.5
Framework: FHEQ Level 7
JACs code: H640
Module cap (Maximum number of students): N/A
Overall student workload
Independent Learning Hours: 91
Lecture Hours: 11
Tutorial Hours: 11
Guided Learning: 10
Captured Content: 27
Prerequisites / Co-requisites
Indicative content includes the following:
Cellular communication system design and optimisation (Cellular Concept 2G/3G/4G/5G, Cell Planning and Optimisation, Techniques to increase system capacity)
Advanced Modulation and RA (CDMA, Spread Spectrum Techniques, MC-CDMA, Subcarrier Combining Techniques, Peak Power Problem in MC-CDMA, RAKE receivers, Adaptive Modulation Techniques, Channel estimation, Equalisation, MC-CDMA Transceiver Design)
Mobility management in modern access networks (Mobile IP and IP addressing. Network layer issues and Routing, Transport layer protocols (TCP/IP))
Radio Resource Management in modern Cellular Systems ( Basic concept and definitions, resource allocation and scheduling techniques, admission control);
Advanced MAC Protocols for Small Cell Systems (Random Access MAC, IEEE802.11x Series, QoS Provisioning in Random Access MAC)
|Assessment type||Unit of assessment||Weighting|
|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:
· Assess students’ ability to use relevant tools to analyse advanced system level concepts in mobile communications and carry out basic design steps in simulation environments.
· The written exam will assess their understanding of the various advanced communication techniques taught in this module, the underlying principles and their basic working.
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
- The aim of the lectures is to provide key system level knowledge of advanced wireless communication technologies, including important concept in network architectures and system level optimisation of modern wireless systems. The assignment will help the students further investigate some of the key concepts taught in this module and gain deep insight by simulating some of key relevant techniques.
|1||Gain knowledge of evolution of wireless access networks including the cellular systems from 2G-4G and beyond in terms of architecture, air interface, and mobility management, and small cell technologies such as IEEE 802.11x Systems;|
|2||Analyse the fundamentals of spread spectrum communication systems;|
|3||Describe general concepts of Radio Resource Management (scheduling, access control, admission control, QoS provisioning) in communication networks and relevant analysis and optimisation techniques;|
|4||Understand the concepts of mobility management in mobile communication systems;|
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 achieve the following aims:
- developing students’ knowledge and skills in the field of mobile communications;
- adjusting lectures according to students’ level of understanding;
- promoting active learning and problem based learning;
- promoting research informed teaching;
- providing a stimulating educational environment.
Learning and teaching methods include the following:
Lectures: 10 weeks – 30 hours
Tutorials: 1 week – 3 hours
Assignments: There is one mandatory assignment in this module which includes research and implementation of some of the advanced and key techniques in mobile communication systems. The estimated time for carrying out the assignment work and writing up report is about 30 hours.
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: EEEM018
Programmes this module appears in
|Communication Systems MEng||2||Compulsory||A weighted aggregate mark of 50% is required to pass the module|
|Electronic Engineering with Space Systems MEng||2||Optional||A weighted aggregate mark of 50% is required to pass the module|
|Electronic Engineering with Professional Postgraduate Year MSc||2||Optional||A weighted aggregate mark of 50% is required to pass the module|
|Electrical and Electronic Engineering MEng||2||Optional||A weighted aggregate mark of 50% is required to pass the module|
|Communications Networks and Software MSc||2||Compulsory||A weighted aggregate mark of 50% is required to pass the module|
|Mobile and Satellite Communications MSc||2||Compulsory||A weighted aggregate mark of 50% is required to pass the module|
|RF and Microwave Engineering MSc||2||Optional||A weighted aggregate mark of 50% is required to pass the module|
|5G and Future Generation Communication Systems MSc||2||Compulsory||A weighted aggregate mark of 50% is required to pass the module|
|Electronic Engineering MSc||2||Optional||A weighted aggregate mark of 50% is required to pass the module|
|Electronic Engineering with Computer Systems MEng||2||Optional||A weighted aggregate mark of 50% is required to pass the module|
|Electronic Engineering MEng||2||Optional||A weighted aggregate mark of 50% is required to pass the module|
|Computer and Internet Engineering MEng||2||Optional||A weighted aggregate mark of 50% is required to pass the module|
|Artificial Intelligence MSc||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 2022/3 academic year.