Studying at York
Information theory, wireless and optical transmission - ELE00160M
- Department: Electronic Engineering
- Credit value: 20 credits
- Credit level: M
- Academic year of delivery: 2024-25
- See module specification for other years: 2023-24
Module summary
Information theory: At the heart of communications is the concept of Information theory. This module gives you an understanding of information theory and the error-control and coding schemes used in modern, mainly wireless, communication systems. It will help you to quantify information and compute entropy, calculate mutual information and channel capacity, and understand the limits of source coding and reliable communication.
Wireless Communications: Wireless communication including Wifi and 5G mobile has become fundamental to all our lives, but the radio communication channel is challenging for high speed communication. This part of the module will describe the problems of multipath fading, derive mathematical models of the channel, and use them to analyse its performance and show how the limitations it imposes are overcome in current wireless communication standards.
Optical Communications: optical communications offer much higher capacity than wired or wireless, and have a lot of distinctive features. This part of the course will concentrate on the physical level of optical comms, introduce the physical principles, the components and system technology, discuss the relation of optical comms to other types of communications, the particular way the general principles of communications and info theory are applied to optical communications, and modern trends in optical communication development.
Professional requirements
Related modules
Pre-requisite modules
Co-requisite modules
- None
Prohibited combinations
- None
Additional information
Module will run
| Occurrence | Teaching period |
|---|---|
| A | Semester 1 2024-25 |
Module aims
Information Theory: This module aims to give an understanding of information theory and the error-control and coding schemes used in modern, mainly wireless communication systems. It will also develop critical skills in the selection, adaptation and application of appropriate numeric and algebraic techniques.
Wireless Communications: The module introduces fundamental modulation techniques used in radio communications, then describes and derives the characteristics of the radio channel, especially the issue of multipath propagation and how it affects performance. As well as showing students how these issues can be overcome in wireless communications, it uses the radio channel as an example to show students how communication techniques can be adapted to a specific channel.
Optical Communications: the module also aims to give the students and understanding of the components, system architectures, modulation and multiplexing methods, and development trends in modern optical communications, as well as recent tendencies in their development
Module learning outcomes
Subject content learning outcomes
After successful completion of this module, students will be able to:
- Analyse and know how to calculate compute mutual information and channel capacity
- Evaluate the limits of source coding and reliable communication
- Design encoders and decoders for linear block and convolutional codes, implementing appropriate methods and algorithms such as generator matrices and polynomials and the Viterbi algorithm
- Evaluate FEC code performance, including calculating decoded BER for FEC codes
- Design wireless communication systems, including transmit and receive filters and modulation schemes, and evaluate their performance
- Understand and calculate antenna gain and noise power in a radio receiver, and design a link budget for a wireless communication link
- Understand and evaluate the effects of multipath propagation, including calculating the delay spread and coherence bandwidth of a multipath channel, and the influence of diversity.
- Understand the principles of OFDM, and design OFDM systems for specific channels
- Analyse the main characteristics and parameters of the main active and passive components of an optical communication system.
- Analyse the performance of the optical communication system from capacity, sensitivity, and implementation point of view. Evaluate power budgets of amplified and non-amplified optical systems.
- Analyse the main methods of modulation and multiplexing in optical communications; evaluate the capacity of a multiplexed system with different modulation format.
- Apply the general principles of communications and information theory to optical and wireless communication systems with due account for specific features; evaluate the performance of an optical and wireless communications system from information theory point of view.
Graduate skills learning outcomes
After successful completion of this module, students will be able to:
- Express advanced technical concepts concisely and accurately and comment on their applications, limitations and implications
- Select, adapt and apply a range of mathematical techniques to solve advanced problems and explain the implications of the answer
Module content
Indicative assessment
| Task | % of module mark |
|---|---|
| Closed/in-person Exam (Centrally scheduled) | 50 |
| Online Exam -less than 24hrs (Centrally scheduled) | 50 |
Special assessment rules
None
Additional assessment information
Closed-book exam - worth 50% of the module mark. This exam will assess the information theory part of the module. There will be three questions and the students should answer two questions.
Open-book exam - worth 50% of the module mark. This will assess the wireless and optical communications parts of the module. There will be four questions, two from each part, of which the students will need to answer three.
Indicative reassessment
| Task | % of module mark |
|---|---|
| Closed/in-person Exam (Centrally scheduled) | 50 |
| Online Exam -less than 24hrs (Centrally scheduled) | 50 |
Module feedback
'Feedback’ at a university level can be understood as any part of the learning process which is designed to guide your progress through your degree programme. We aim to help you reflect on your own learning and help you feel more clear about your progress through clarifying what is expected of you in both formative and summative assessments. A comprehensive guide to feedback and to forms of feedback is available in the Guide to Assessment Standards, Marking and Feedback.
The School of PET aims to provide some form of feedback on all formative and summative assessments that are carried out during the degree programme. In general, feedback on any written work/assignments undertaken will be sufficient so as to indicate the nature of the changes needed in order to improve the work. The School will endeavour to return all exam feedback within the timescale set out in the University's Policy on Assessment Feedback Turnaround Time. The School would normally expect to adhere to the times given, however, it is possible that exceptional circumstances may delay feedback. The School will endeavour to keep such delays to a minimum. Please note that any marks released are subject to ratification by the Board of Examiners and Senate. Meetings at the start/end of each term provide you with an opportunity to discuss and reflect with your supervisor on your overall performance to date.
Statement of Feedback
Formative Feedback
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Regular problem sheets will be provided and worked through in tutorial workshops, and you will have the opportunity to discuss your progress with the lecturers.
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Worked solutions to question sheets will be provided with a delay sufficient to give you a good opportunity to work through the sheets on your own
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Questions can be asked at any time, and will be answered immediately, or at least as soon as possible.
Indicative reading
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T. M. Cover and J. A. Thomas, Elements of Information Theory, 2nd ed. Wiley-Interscience, 2006.
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J. C. Moreira and P. G. Farrell, Essentials of Error Control Coding, Wiley, 2006.
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A. G. Burr, Modulation and Coding for Wireless Communications, Prentice-Hall, 2000.
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S. Lin & D. J. Costello, Error Control Coding, 2nd Edition, Prentice-Hall, 2004.
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T. D. Moon, Error Correction Coding: Mathematical Methods and Algorithms, Wiley, 2005.