Give step-by-step solution with explanation and final answer:
This problem illustrates that diversity combining can provide performance enhancements via array gain, even in the absence of fading. Consider an AWGN channel employing N
-
branch diversity combining with a per
-
branch SNR of γi
=
1
0
dB
.
Assume MQAM modulation with M
=
4
and approximate the bit error probability using the formula Pb
=
0
.
2
e
−
1
.
5
γ
/
(
M
−
1
)
,
where γ is the received SNR
.
(
a
)
Determine the value of Pb for the case where N
=
1
.
(
b
)
Calculate the required diversity order N such that, under MRC
,
the bit error probability satisfies Pb
<
1
0
−
6
.
Question:
Give step-by-step solution with explanation and final answer:
This problem illustrates that diversity combining can provide performance enhancements via array gain, even in the absence of fading. Consider an AWGN channel employing N
-
branch diversity combining with a per
-
branch SNR of γi
=
1
0
dB
.
Assume MQAM modulation with M
=
4
and approximate the bit error probability using the formula Pb
=
0
.
2
e
−
1
.
5
γ
/
(
M
−
1
)
,
where γ is the received SNR
.
(
a
)
Determine the value of Pb for the case where N
=
1
.
(
b
)
Calculate the required diversity order N such that, under MRC
,
the bit error probability satisfies Pb
<
1
0
−
6
.
This is AI generated Response.
Asked by: Aman
Created at: 2025-12-21 23:29:16
Final Answer:
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# Diversity Combining Performance Enhancement in AWGN
This problem analyzes how diversity combining (specifically, Maximal Ratio Combining, or MRC) improves bit error probability ($P_b$) in an AWGN channel with no fading.
Given:
- Number of diversity branches: $N$
- Per-branch SNR: $\gamma_i = 10$ dB
- Modulation: $M$-QAM, $M = 4$
- Approximate bit error probability:
$$
P_b = .2 \exp\left(-\frac{1.5 \gamma}{M-1}\right)
$$
where $\gamma$ is the **received SNR**.
---
## (a) $P_b$ for $N=1$
### Step 1: Convert SNR from dB to linear
Given $\gamma_i = 10$ dB (per branch), for $N = 1$ (no combining):
- $\gamma = \gamma_1 = 10$ dB
- Linear scale: $\gamma = 10^{10/10} = 10$
### Step 2: Substitute into formula
Given $M = 4$,
- $M - 1 = 3$
Plug into the formula:
$$
P_b = .2 \exp\left(-\frac{1.5 \times 10}{3}\right)
$$
Compute the exponent:
- $1.5 \times 10 = 15$
- $15 / 3 = 5$
So,
$$
P_b = .2 \exp(-5)
$$
### Step 3: Calculate the value
- $\exp(-5) \approx .006737947$
Therefore,
$$
P_b = .2 \times .006737947 \approx .0013476
$$
**Final Answer (a):**
> For $N = 1$, the bit error probability is
> $\boxed{P_b \approx .00135}$
---
## (b) Required $N$ to achieve $P_b < 10^{-6}$ with MRC
### Step 1: Find received SNR with MRC
Under MRC in AWGN:
- Total SNR: $\gamma = \sum_{i=1}^N \gamma_i = N \gamma_i$
So,
- $\gamma = N \times 10$
### Step 2: Substitute into $P_b$ formula
$$
P_b = .2 \exp\left(-\frac{1.5 \gamma}{3}\right) = .2 \exp\left(-\frac{1.5 N \times 10}{3}\right)
$$
- $1.5 \times 10 = 15$
- $15 N / 3 = 5N$
So,
$$
P_b = .2 \exp(-5N)
$$
### Step 3: Find $N$ such that $P_b < 10^{-6}$
Set inequality:
$$
.2 \exp(-5N) < 10^{-6}
$$
Solve for $N$:
1. Divide both sides by .2:
$$
\exp(-5N) < 5 \times 10^{-6}
$$
2. Take natural log:
$$
-5N < \ln(5 \times 10^{-6})
$$
$$
-5N < \ln(5) + \ln(10^{-6})
$$
$$
-5N < 1.60944 - 13.81551 = -12.20607
$$
3. Divide both sides by $-5$ (reverse inequality):
$$
N > \frac{12.20607}{5} = 2.4412
$$
### Step 4: Smallest integer $N$
We need $N$ to be an integer, so the smallest $N$ is:
$$
N = 3
$$
#### Verification:
Plug $N = 3$ back into the $P_b$ formula:
$$
P_b = .2 \exp(-15) \\
\exp(-15) \approx 3.059 \times 10^{-7} \\
P_b = .2 \times 3.059 \times 10^{-7} \\
P_b \approx 6.12 \times 10^{-8} < 10^{-6}
$$
**Final Answer (b):**
> The minimum diversity order required is
> $\boxed{N = 3}$
> to achieve $P_b < 10^{-6}$ under MRC.
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