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ENGE3043 Mobile Communication 1
Feedback date: 20/04/2026
Aim: In this assignment, you will design, implement, and test an image communication system consisting of a channel coder, modulator, demodulator, and channel decoder. You
will use MATLAB for your implementation.
What to submit: Your coursework must be submitted as a report in Word format. Your MATLAB codes must be provided as text (not pictures) and included as appendices at the end of the report. All code lines must be commented to explain them. Your answers must be supported by references as appropriate. All references must be in IEEE style. Please note that 4 marks will be allocated to the presentation and organisation of your report. Your report, excluding the cover page and MATLAB codes, must not exceed eight pages (minimum font size 11 pt).
1) Design and implement in MATLAB a digital communication system to transmit a digital colour image over an additive white Gaussian noise (AWGN) channel using LDPC coding and 16-QAM modulation. Your system must be implemented as a single MATLAB function. You must clearly describe all the components of your system and motivate your design choices. You must also provide a three-minute video explaining and demonstrating your function. Your video should show your MATLAB workspace and code execution.
[20 marks: Design of the system: 6 marks, quality and correctness of the implementation: 5 marks, explanation of the code: 4 marks, video: 5 marks]
2) Use your system to simulate transmission of the built-in MATLAB image onion.png over a range of Eb/N0 values. Present the resulting bit error rate (BER) curves before and after channel coding and show reconstructed images at representative Eb/N0 values. Discuss the results.
3) Modify your function by replacing the LDPC channel code with a Turbo code, keeping the rest of the system consistent. You must clearly specify and justify Turbo code design choices. Repeat the simulations from 2) using the same Eb/N0 range. Compare Turbo code performance to LDPC code performance using BER curves and reconstructed images and discuss differences. Provide a new three-minute video demonstrating the new function.
The following MATLAB documentation can help you with your coursework