URGENT: Mobile Communications Simulations Project - Flat fading

Bs.Hamza

Bs.Hamza

@bshamza-i2rZLS Oct 25, 2024

Please i need a help with this report, please

REPORT:

Consider a frequency-flat fading channel. Use two methods, namely Jakes's
model and the filtered Gaussian noise model to simulate a fading channel with a
given Doppler power spectrum. The description of the methods can be found (in
part) in the textbooks. For two different Doppler spectra plot the envelope of the
received signal when a sinusoid signal is transmitted. Explain your results.​
• ​In this part, we study digital data transmission over fading channels. Assume
synchronization (between the transmitter and the receiver) is perfect. You need
to simulate the transmission of uncoded BPSK and QPSK modulated symbols
over fading channels. To this end, you need to pick a Doppler spectrum and use
the above two methods to generate fading channels respectively. For each
channel model, carry out Monte Carlo simulations to estimate the bit error
probability (BER) as a function of the signal-to-noise-ratio (SNR), for both
modulation schemes. (Please note there is additive white Gaussian noise
(AWGN).) You need to use the BER performance for the AWGN channel (i.e. no
fading) as the benchmark.
We consider two cases, namely the ideal channel condition may or may not be
available. First consider the ideal channel state information is available. Then
investigate the case where pilot symbols are inserted periodically to estimate the
channel state so the channel estimates are "noisy". Plot the BER vs. SNR for both
cases, as required in the above. Discuss the impact on the performance incurred
by the rapidity of channel variation and the period of the pilot signals. Explain

why it is so.


the answer of this report is shown here without the code, i dunno how to realize this at all

#-Link-Snipped-#

please help asap
thanx

Welcome, guest

Join CrazyEngineers to reply, ask questions, and participate in conversations.

CrazyEngineers powered by Jatra Community Platform