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| Unit name |
Communication Systems (M) |
| Unit code |
EENGM2100 |
| Credit points |
10 |
| Level of study |
M/7
|
| Teaching block(s) |
Teaching Block 1 (weeks 1 - 12)
|
| Unit director |
Professor. Doufexi |
| Open unit status |
Not open |
| Pre-requisites |
EENGM0000
|
| Co-requisites |
|
| School/department |
Department of Electrical & Electronic Engineering |
| Faculty |
Faculty of Engineering |
Description including Unit Aims
The aim is to provide an insight into the choice of modulation techniques employed in both current and future generation wireless networks. Analytical tools for describing information transfer and uncertainty are discussed and applied to practical data and communication systems. The key parameters that govern transmission power and bandwidth of a communication network are introduced. The unit examines both analogue and digital modulation schemes, and coherent and non-coherent detection techniques.
Elements
Information Theory Dr R. Piechocki
- The main concepts and results of information theory (essential for communicating in the presence of accidental or deliberate noise) are introduced.
- Information and uncertainty; entropy and information capacity.
- Noise-free discrete communications channel; optimal coding; rate of communication over a noisy discrete communications channel.
Communications Systems Performance Dr A. Doufexi
- Analytical techniques are developed for calculating the performance of both analogue and digital modulation schemes in order to address the important issue of cost-performance trade-off, or "Quality of Service" (QoS).
- QoS issues in wireless networks; review of noise in wireless communications; noise in AM systems; noise and threshold effects in FM systems.
- Design goals for digital modulation techniques; correlation and matched filter detection of data; error probability of coherent reception techniques; error probability of M-ary and orthogonal systems.
- Performance evaluation of DS-CDMA.
Intended Learning Outcomes
Having completed this unit, students will be able to:
- Explain the concepts and results of information theory, including information, uncertainly, entropy and information capacity
- Describe a Noise-free discrete communications channel and optimal coding
- Calculate the rate of communication over a noisy discrete communications channel
- Calculate the performance of both analogue and digital modulation schemes
- Explain Quality of Service
- Explain the concept of noise in AM and FM systems
- Outline Design goals for digital modulation techniques
- Explain correlation and matched filter detection of data; error probability of coherent reception techniques; error probability of M-ary and orthogonal systems
- Evaluate performance of DS-CDMA
Teaching Information
A combination of lectures and seminars
Assessment Information
Matlab assignment 10% (ILOs 1, 2)
Information Theory problem analysis, 10% (ILO 9)
Exam, 2 hours, 80% (All ILOs)
Reading and References
Information Theory
- Jones, D.S., Elementary Information Theory, Clarendon Press, 1979, ISBN:0 1985 4375
- Shannon, C.E. and W. Weaver, The Mathematical Theory of Communication, University of Illinois Press, 1963, ISBN:0 252 72548 4 (Q360 SHA)
Performance of Communications Systems
- Haykin, S., Communications Systems, 3rd edition, J. Wiley, 1994, ISBN:0 4713 05847 (TK 5101 HAY)
- Haykin, S. & Moher, M. Introduction to Analog and Digital Communications, 2nd edition 2007
