Exercise 4.11Z: Error Probability with QAM

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Table with two different Gaussian error functions

We now make the following assumptions:

  • binary bipolar amplitude coefficients  $a_ν ∈ \{±1\}$,
  • rectangular fundamental transmission pulse with amplitude  $s_0$  and bit time  $T_{\rm B}$,
  • AWGN noise with noise power density  $N_0$,
  • a receiver according to the matched-filter principle,
  • the best possible demodulation and detection.


As has been shown several times, the bit error probability of binary phase modulation   $\rm (BPSK)$  under these conditions can be calculated using the following equations:

$$ p_{\rm B, \hspace{0.05cm}BPSK} = {\rm Q}\left ({s_0}/{\sigma_d } \right ), \hspace{0.2cm} E_{\rm B} = {1}/{2} \cdot s_0^2 \cdot T_{\rm B} ,\hspace{0.2cm} \sigma_d^2 = {N_0}/{T_{\rm B} }$$
$$\Rightarrow \hspace{0.3cm} p_{\rm B, \hspace{0.05cm}BPSK} = {\rm Q}\left ( \sqrt{{2 \cdot E_{\rm B}}/{N_0 }} \hspace{0.1cm}\right ) = {1}/{2}\cdot {\rm erfc}\left ( \sqrt{{E_{\rm B}}/{N_0 }} \hspace{0.1cm}\right ).$$

The corresponding equations of  $\rm 4–QAM$  are:

$$ p_{\rm B, \hspace{0.05cm}4-QAM} = {\rm Q}\left ( {g_0}/{\sigma_d } \right ), \hspace{0.2cm}g_{0} = {s_0}/{\sqrt{2}}, \hspace{0.2cm}E_{\rm B} = {1}/{2} \cdot s_0^2 \cdot T_{\rm B} ,\hspace{0.2cm} \sigma_d^2 = {N_0}/({2 \cdot T_{\rm B} }).$$

Here it is taken into account that - in order to achieve the same transmission energy per bit as with BPSK - one must reduce the pulse amplitude $g_0$  of the square-wave impulses in the two sub-branches of 4-QAM by a factor of  $\sqrt{2}$ . The envelope is then equal to  $s_0$ for both systems.





Hints:

  • This exercise belongs to the chapter  Quadrature Amplitude Modulation.
  • Reference is also made to the page  Error probabilities – a brief overview  in the previous chapter.
  • Always assume the following numerical values:   $s_0 = 2\,{\rm V}, \hspace{0.05cm} N_0 = 0.25 \cdot 10^{-6}\,{\rm V^2/Hz}\hspace{0.05cm}.$
  • The bit time is  $T_{\rm B} = 1 \ \rm µ s$  (question 1) and  $T_{\rm B} = 2 \ \rm µ s$  (from question 2 onwards).
  • In the table, the two common Gaussian error functions  ${\rm Q}(x)$  and  $1/2 \cdot {\rm erfc}(x)$  are given.
  • Energies are to be given in  $\rm V^2s$  ; thus, they refer to the reference resistance  $R = 1 \ \rm \Omega$.


Questions

1

What error probability  $p_\text{B, BPSK}$  results for  Binary Phase Shift Keying  (BPSK) when $T_{\rm B} = 1 \ \rm µ s$?

$p_\text{B, BPSK} \ = \ $

$\ \rm 10^{-4}$

2

What error probability  $p_\text{B, BPSK}$  results for  Binary Phase Shift Keying  (BPSK) when $T_{\rm B} = 2 \ \rm µ s$?

$p_\text{B, BPSK} \ = \ $

$\ \rm 10^{-8}$

3

What error probability  $p_\text{B, 4-QAM}$  is obtained for 4–QAM when  $E_{\rm B} = 4 · 10^{–6} \ \rm V^2s$?

$p_\text{B, 4-QAM} \ = \ $

$\ \rm 10^{-8}$

4

Which statements apply if we consider only one branch   $\rm (I$  or  $\rm Q)$  of the 4–QAM?

The same result is obtained as for the entire 4-QAM.
The spacing of the useful samples is equal to  $s_0$ as in BPSK.
The same result is obtained for the noise power as in BPSK.


Solution

(1)  With the values given, for  Binary Phase Shift Keying  (BPSK), one gets:

$$E_{\rm B} = {1}/{2} \cdot s_0^2 \cdot T_{\rm B} = \frac{1}{2}\cdot (2\,{\rm V})^2 \cdot 1\,{\rm µ s} = 2 \cdot 10^{-6}\,{\rm V^2s} \hspace{0.3cm} \Rightarrow \hspace{0.3cm} {E_{\rm B}}/{N_0} = \frac {2 \cdot 10^{-6}\,{\rm V^2s}}{0.25 \cdot 10^{-6}\,{\rm V^2/Hz}} = 8$$
$$ \Rightarrow \hspace{0.3cm} p_\text{B, BPSK} = {\rm Q}\left ( \sqrt{16} \right ) = {\rm Q}\left ( 4 \right ) = {1}/{2}\cdot {\rm erfc}\left ( \sqrt{8}\right )\hspace{0.05cm}.$$
  • Based on the given   $x$–values in the table, it is convenient to use the first equation in this subtask:
$$p_\text{B, BPSK} = {\rm Q}\left ( 4 \right ) \hspace{0.15cm}\underline {= 0.317 \cdot 10^{-4} }\hspace{0.05cm}.$$


(2)  With twice the bit duration, the energy is also twice as large:  $E_{\rm B} = 4 · 10^{–6} \ \rm V^2s$ ⇒ $E_{\rm B}/N_0 = 16$.

  • It follows that:
$$p_\text{B, BPSK} = {\rm Q}\left ( \sqrt{32} \right ) = {1}/{2}\cdot {\rm erfc}\left ( \sqrt{16}\right ) ={1}/{2}\cdot {\rm erfc}\left ( 4\right ) \hspace{0.15cm}\underline {= 0.771 \cdot 10^{-8}}\hspace{0.05cm}.$$
  • For pragmatic reasons, the last column of the table was used here.



(3)  Substituting the equations given for the 4-QAM into each other, we get the same result as for the BPSK:

$$p_{\rm B, \hspace{0.05cm}4-QAM} = {\rm Q}\left ( \sqrt{{2 \cdot E_{\rm B}}/{N_0 }} \hspace{0.1cm}\right ) = {1}/{2}\cdot {\rm erfc}\left ( \sqrt{{E_{\rm B}}/{N_0 }} \hspace{0.1cm}\right ) \equiv p_\text{B, BPSK}.$$
  • Also, since the energy per bit has not changed from subtask  (2) , the same error probability will arise:
$$p_{\rm B, \hspace{0.05cm}4-QAM}= {\rm Q}\left ( \sqrt{32} \right ) = {1}/{2}\cdot {\rm erfc}\left ( 4\right ) \hspace{0.15cm}\underline {= 0.771 \cdot 10^{-8}}\hspace{0.05cm}.$$


(4)  Only Answer 1 is correct:

  • Of course the error probability of error is the same in the two branches. Why would it not be?
  • This would no longer be true with a phase offset between the transmitter and receiver though.
  • However, the distance of the useful samples from the threshold is  $g_0$  here and thus smaller than the envelope   $s_0$  of the entire 4-QAM by a factor of $\sqrt{2}$ .
  • However, if the inphase branch (or the quadrature branch) is considered as a stand-alone BPSK, the noise power is also half that of BPSK because of the lower symbol rate. Therefore, the error probability remains the same.