Aim: In this assignment, you will use Matlab to simulate multiple-antenna communication systems that satisfy the requirements given in the tasks below.
What to submit: Your coursework must be submitted as a report in Word format to Turnitin. All Matlab scripts used must be included in an appendix at the end of the report. This includes all additional functions you have written as part of your code (if any). Your Matlab code must be well-commented and documented. All references must be in IEEE format. Please note that will be allocated to the presentation and organisation of your report including the documentation of your Matlab code.
Part 1
Write a Matlab script that simulates transmission of a randomly generated data over an AWGN channel using the three modulation techniques of LTE (4G), i.e. QPSK, 16-QAM and 64-QAM. Plot and compare the BER of these modulation techniques as a function of the energy per bit to noise power spectral density ratio (Eb/N0) for an AWGN channel. Discuss and analyse your results.
Discuss and analyse your results
Part 2
For the International Mobile Telecommunications (IMT)-Advanced system, the International Telecommunication Union defines the propagation model for a line-of-sight urban macro-cell scenario with a base station antenna height of 25 m and a mobile antenna height of 1.5 m as:
Where L is the magnitude of the link attenuation in dB, r is the range in m, and fc is the centre frequency in MHz.
Table 1 shows the link budget for the uplink on a mobile communication system operating on 2.1 GHz.
Link Budget (Uplink) |
Value |
Transmitter, terminal |
|
Maximum mobile transmission power [W] |
0.3 |
Antenna gain |
1.0 dBi |
Body loss |
-2 dB |
Receiver, Base Station |
|
Required Eb/N0 at base station decoder |
5 dB |
Fast fading margin |
-4 dB |
Log-normal fading margin |
-7.3 dB |
Antenna gain |
11 dBi |
Cable loss |
-3 dB |
User noise interference margin |
3 dB |
Processing gain (W /R) |
24 dB |
Thermal noise |
-118.4 dBm |
Table 1
Part 3
Research the literature to review different beamforming techniques for massive MIMO systems in 5G communication systems. Your answer needs to provide