The program below simulates the generation of N binary bits, each has value ' 1 ' with M(=4) samples. These bits are transmitted over AWGN channel. The channel noise is of zero-mean and variance N0/2. The program has missing information pertaining to the variables: z,s, and E_BER. a. Complete the missing information, and then plot the theoretical and estimated BER versus Eb/N0, for the range of values from 6 to 8dB. b. If each bit has value ' 0 ' or ' 1 ' with M samples, perform the following: i. Plot the first 30 bits (i.e. 30M samples) of transmitted (noise-free) sequence (M=4). ii. Plot the first 30 bits (i.e. 30M samples) of received sequence with noise level such that Eb/N0= 10dB, where Eb is the bit energy. iii. Plot the constellation diagram of received sequence for Eb/N0=10dB. You can use the MATLAB command 'scatterplot'. iv. Plot the theoretical and estimated BER versus Eb/N0, for the range of values from 6 to 12dB. LIMARLAB R2018a The program below simulates the generation of N binary bits, each has value ' 1 ' with M(=4) samples. These bits are transmitted over AWGN channel. The channel noise is of zero-mean and variance N0/2. The program has missing information pertaining to the variables: z,s, and E_BER. a. Complete the missing information, and then plot the theoretical and estimated BER versus Eb/N0, for the range of values from 6 to 8dB. b. If each bit has value ' 0 ' or ' 1 ' with M samples, perform the following: i. Plot the first 30 bits (i.e. 30M samples) of transmitted (noise-free) sequence (M=4). ii. Plot the first 30 bits (i.e. 30M samples) of received sequence with noise level such that Eb/N0= 10dB, where Eb is the bit energy. iii. Plot the constellation diagram of received sequence for Eb/N0=10dB. You can use the MATLAB command 'scatterplot'. iv. Plot the theoretical and estimated BER versus Eb/N0, for the range of values from 6 to 12dB. LIMARLAB R2018a