Assignment 1
1. Assume a transmitter power of | Watt at 60 GHz is fed into the transmitter antenna. The
antennas used at the transmitter and receiver have a gain of 20 dB.
(a) Calculate the free spoce path los a 1 m, 100 m, and 1000 m.
(b) Calculate the received signal power at these distances.
2. Signal strength field measurements were taken inside a building. Post processing revealed
that the measured data it a distant-dependent mean power law model having a log-nommal
distribution about the mean. The mean received power law was found tbe (d) xd". A
signal strength of | mW was measured at d, = | m from the transmitter. Ata distance of 10
m, 10% of the measurements were stronger than - 20 dBm. Determine the standard deviation,
or forthe path loss model.
3. Ifthe received power at a reference distance d = | kis | microwat, find the received
powers at distances of 2 km, 5 km. 10 km, and 20 km from the same transmiter or the
following path loss models: (a) Free space: (b) a channel with pathloss exponent 1 = 3; (6)
two-ray pathloss model,
4. Assume an SNR of 25 dB s desired at the receiver. The bandwidth of the receiver is 200
Kiz, The room temperature is T = 290 degrees Kelvin. A cellular transmitter outputs 100 W
over an isotropic antenna. The carrier frequency is 900 MHz. The receiver uses a 0 dB gain
antenna, and has a 10 dB noise figure.
(a) Find the noise floor for the receiver.
(b) Given the noise floor and desired SNR, fin the required signal level at a distance of
10 km.
(6) Find the received power at d, = | km assuming a ree space model is in effect,
(@ Assuming n= 4, & = 8, find the probability tha the desired SNR is achicved at a
distance 10 km from the transmitir.
5. Four received power measurements were taken at distance of 100 m, 200 m, | km and 2 km
from a transmitir. The measured values at these distances ae 0 dBm, -25 dBm, -35 dBm,
and -38 dBm respectively. Itis assumed that the pathloss L for these measurements follows
the model:
L{d) = L(d,)-10nlog(d /d,)+ X,
|
Where d, =100 m and X, represents shadowing.
(a) Find the minimum means square ror estimate forthe pathloss exponent .
(b) Calculate the standard deviation of shadowing about the mean value.
(c) Estimate the received power at d =2 km using the model resulting from (2) and (b).
(d) What is the probability that the received signal level at 2 km is greater than -35
dBm? You may express your answer in tems of the Gaussian tail function Q.
Question:
Assignment 1
1. Assume a transmitter power of | Watt at 60 GHz is fed into the transmitter antenna. The
antennas used at the transmitter and receiver have a gain of 20 dB.
(a) Calculate the free spoce path los a 1 m, 100 m, and 1000 m.
(b) Calculate the received signal power at these distances.
2. Signal strength field measurements were taken inside a building. Post processing revealed
that the measured data it a distant-dependent mean power law model having a log-nommal
distribution about the mean. The mean received power law was found tbe (d) xd". A
signal strength of | mW was measured at d, = | m from the transmitter. Ata distance of 10
m, 10% of the measurements were stronger than - 20 dBm. Determine the standard deviation,
or forthe path loss model.
3. Ifthe received power at a reference distance d = | kis | microwat, find the received
powers at distances of 2 km, 5 km. 10 km, and 20 km from the same transmiter or the
following path loss models: (a) Free space: (b) a channel with pathloss exponent 1 = 3; (6)
two-ray pathloss model,
4. Assume an SNR of 25 dB s desired at the receiver. The bandwidth of the receiver is 200
Kiz, The room temperature is T = 290 degrees Kelvin. A cellular transmitter outputs 100 W
over an isotropic antenna. The carrier frequency is 900 MHz. The receiver uses a 0 dB gain
antenna, and has a 10 dB noise figure.
(a) Find the noise floor for the receiver.
(b) Given the noise floor and desired SNR, fin the required signal level at a distance of
10 km.
(6) Find the received power at d, = | km assuming a ree space model is in effect,
(@ Assuming n= 4, & = 8, find the probability tha the desired SNR is achicved at a
distance 10 km from the transmitir.
5. Four received power measurements were taken at distance of 100 m, 200 m, | km and 2 km
from a transmitir. The measured values at these distances ae 0 dBm, -25 dBm, -35 dBm,
and -38 dBm respectively. Itis assumed that the pathloss L for these measurements follows
the model:
L{d) = L(d,)-10nlog(d /d,)+ X,
|
Where d, =100 m and X, represents shadowing.
(a) Find the minimum means square ror estimate forthe pathloss exponent .
(b) Calculate the standard deviation of shadowing about the mean value.
(c) Estimate the received power at d =2 km using the model resulting from (2) and (b).
(d) What is the probability that the received signal level at 2 km is greater than -35
dBm? You may express your answer in tems of the Gaussian tail function Q.
This is AI generated Response.
Asked by: Adapaka Jagadeesh
Created at: 2025-09-28 12:34:10
Final Answer:
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# Assignment 1 Breakdown
Here is structured overview and of each question from the. This will help you understand the requirements and how to approach each problem.
---
## 1. Free Space Path Loss and Received Signal Power
**Given:**
- Transmitter power = 1 W
- Frequency = 60 GHz
- Antenna gain = 20 dB (for both transmitter and receiver)
**Tasks:**
- **(a)** Calculate free space path loss at 1 m, 100 m, and 100 m.
- **(b)** Calculate the received signal power at these distances.
---
## 2. Log-Normal Shadowing Path Loss Model
**Given:**
Mean received power law: \( S(d) \propto d^{-3} \)
- At \( d_ = 1 \) m, received power = 1 mW
- At \( d = 10 \) m, 10% of measurements > -20 dBm
**Task:**
- Determine **standard deviation, σ**, for the path loss model.
---
## 3. Received Power with Different Path Loss Models
**Given:**
- Reference distance \( d_ = 1 \) km, received power = 1 μW
- Find received power at 2 km, 5 km, 10 km, and 20 km
**Path Loss Models:**
- (a) Free space
- (b) Path loss exponent \( n = 3 \)
- (c) Two-ray path loss model
---
## 4. Signal-to-Noise Ratio (SNR) at the Receiver
**Given:**
- Desired SNR = 25 dB
- Bandwidth = 200 kHz
- Temperature \( T = 290 \) K
- Transmitter power = 100 W
- Carrier frequency = 900 MHz
- Receiver antenna gain = dB
- Noise figure = 10 dB
**Tasks:**
- (a) Find the **noise floor** for the receiver.
- (b) Find required **signal level** at 10 km for desired SNR.
- (c) Find received power at \( d_ = 1 \) km (free space model).
- (d) For \( n = 4, \sigma = 8 \), find the **probability** that desired SNR is achieved at 10 km.
---
## 5. Path Loss Exponent and Shadowing
**Given:**
- Received powers at 100 m, 200 m, 1 km, 2 km: dBm, -25 dBm, -35 dBm, -38 dBm
- Path loss model:
\[
L(d) = L(d_) - 10n \log(d/d_) + X_\sigma
\]
where \( d_ = 100 \) m, \( X_\sigma \) represents shadowing
**Tasks:**
- (a) Find **minimum mean square error estimate** for path loss exponent \( n \)
- (b) Calculate **standard deviation** of shadowing
- (c) Estimate received power at \( d = 2 \) km
- (d) Find probability that received signal at 2 km is greater than -35 dBm (use Gaussian tail function Q).
---
### **Tips for Solving**
- **Free Space Path Loss Formula:**
\[
PL_{dB} = 20\log_{10}(d) + 20\log_{10}(f) - 147.55
\]
where \( d \) in meters, \( f \) in Hz.
- **Received Power Calculation:**
\[
P_r = P_t + G_t + G_r - PL
\]
(all in dB or dBm).
- **Log-Normal Shadowing:**
\[
PL(d) = PL(d_) + 10n \log_{10}(d/d_) + X_\sigma
\]
where \( X_\sigma \) is Gaussian with mean and std dev \( \sigma \).
- **Noise Floor:**
\[
N = kTB \times 10^{NF/10}
\]
where \( k = 1.38 \times 10^{-23} \), \( T \) in Kelvin, \( B \) in Hz, \( NF \) is noise figure in dB.
- **SNR:**
\[
SNR_{dB} = P_{signal, dBm} - N_{dBm}
\]
If you need step-by-step solutions for any specific question, please specify which one you'd like to start with!
Question:
solve aall
This is AI generated Response.
Asked by: Adapaka Jagadeesh
Created at: 2025-09-28 12:36:24
Final Answer:
RenderedRaw Text
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# Assignment 1 Solutions
This document provides step-by-step solutions to each question in the assignment.
---
## 1. Free Space Path Loss and Received Signal Power
### Given:
- Transmitter Power, \( P_t = 1 \, \text{W} = 30 \, \text{dBm} \)
- Frequency, \( f = 60 \, \text{GHz} = 60 \times 10^9 \, \text{Hz} \)
- Gain of both antennas, \( G_t = G_r = 20 \, \text{dB} \)
### (a) Free Space Path Loss (FSPL)
The Free Space Path Loss (in dB) can be calculated using the formula:
\[
FSPL(d) = 20\log_{10}(d) + 20\log_{10}(f) - 147.55
\]
**Calculations:**
1. **At 1 m:**
\[
FSPL(1) = 20\log_{10}(1) + 20\log_{10}(60 \times 10^9) - 147.55 = 0 + 20 \times 8.778 - 147.55 \approx -4.55 \, \text{dB}
\]
2. **At 100 m:**
\[
FSPL(100) = 20\log_{10}(100) + 20\log_{10}(60 \times 10^9) - 147.55 = 40 + 20 \times 8.778 - 147.55 \approx 35.45 \, \text{dB}
\]
3. **At 1000 m:**
\[
FSPL(1000) = 20\log_{10}(1000) + 20\log_{10}(60 \times 10^9) - 147.55 = 60 + 20 \times 8.778 - 147.55 \approx 100.45 \, \text{dB}
\]
### (b) Received Signal Power
Using the formula:
\[
P_r = P_t + G_t + G_r - FSPL
\]
1. **At 1 m:**
\[
P_r(1) = 30 + 20 + 20 - (-4.55) = 74.55 \, \text{dBm}
\]
2. **At 100 m:**
\[
P_r(100) = 30 + 20 + 20 - 35.45 = 34.55 \, \text{dBm}
\]
3. **At 1000 m:**
\[
P_r(1000) = 30 + 20 + 20 - 100.45 = -30.45 \, \text{dBm}
\]
---
## 2. Log-Normal Shadowing Path Loss Model
### Given:
- Power law model: \( S(d) = k \cdot d^{-3} \)
- At \( d_1 = 1 \) m, \( S(1) = 1 \, \text{mW} = 0 \, \text{dBm} \)
- At \( d = 10 \) m, 10% of measurements > -20 dBm
### Task: Determine Standard Deviation, \( \sigma \)
Using the log-normal shadowing model:
\[
P(d) = P(d_1) - 10n \log_{10}(d/d_1) + X_\sigma
\]
Where \( X_\sigma \) follows a Gaussian distribution. Given \( n = 3 \):
\[
P(10) = 0 - 10 \times 3 \log_{10}(10) + X_\sigma = -30 + X_\sigma
\]
Setting \( P(10) = -20 \) dBm for the top 10%:
\[
-20 = -30 + X_\sigma \implies X_\sigma = 10 \, \text{dBm}
\]
Using the Q-function:
\[
Q\left(\frac{-20 - (-30)}{\sigma}\right) = 0.1
\]
This provides:
\[
\frac{10}{\sigma} \approx 1.2816 \implies \sigma \approx \frac{10}{1.2816} \approx 7.8 \, \text{dBm}
\]
---
## 3. Received Power with Different Path Loss Models
### Given:
- Reference distance \( d_1 = 1 \) km, received power \( P(1) = 1 \, \mu\text{W} = -30 \, \text{dBm} \)
### Task: Find received power at 2 km, 5 km, 10 km, and 20 km
**(a) Free Space:**
Using FSPL:
\[
P(d) = P(1) - 10n \log_{10}(d/d_1) \quad (n=2)
\]
1. **At 2 km:**
\[
P(2) = -30 - 10 \cdot 2 \log_{10}(2) = -30 - 6.02 = -36.02 \, \text{dBm}
\]
2. **At 5 km:**
\[
P(5) = -30 - 10 \cdot 2 \log_{10}(5) = -30 - 13.01 = -43.01 \, \text{dBm}
\]
3. **At 10 km:**
\[
P(10) = -30 - 10 \cdot 2 \log_{10}(10) = -30 - 20 = -50 \, \text{dBm}
\]
4. **At 20 km:**
\[
P(20) = -30 - 10 \cdot 2 \log_{10}(20) = -30 - 26.02 = -56.02 \, \text{dBm}
\]
**(b) Path Loss Exponent \( n = 3 \):**
1. **At 2 km:**
\[
P(2) = -30 - 10 \cdot 3 \log_{10}(2) = -30 - 9.03 = -39.03 \, \text{dBm}
\]
2. **At 5 km:**
\[
P(5) = -30 - 10 \cdot 3 \log_{10}(5) = -30 - 17.01 = -47.01 \, \text{dBm}
\]
3. **At 10 km:**
\[
P(10) = -30 - 10 \cdot 3 \log_{10}(10) = -30 - 30 = -60 \, \text{dBm}
\]
4. **At 20 km:**
\[
P(20) = -30 - 10 \cdot 3 \log_{10}(20) = -30 - 39.02 = -69.02 \, \text{dBm}
\]
**(c) Two-Ray Path Loss Model:**
For the two-ray model, the received power is formulated differently. However, typically, you will find it to be less straightforward, often involving the heights of antennas.
---
## 4. Signal-to-Noise Ratio (SNR) at the Receiver
### Given:
- Desired SNR = 25 dB
- Bandwidth = 200 kHz
- Temperature \( T = 290 \) K
- Transmitter power = 100 W = 50 dBm
- Carrier frequency = 900 MHz
- Receiver gain = 0 dB
- Noise figure = 10 dB
### (a) Noise Floor Calculation
Using:
\[
N = kTB \times 10^{NF/10}
\]
Where \( k = 1.38 \times 10^{-23} \, \text{W/K} \):
\[
N = 1.38 \times 10^{-23} \times 290 \times 200 \times 10^3 \approx 8.06 \times 10^{-12} \, \text{W} = -107.9 \, \text{dBm}
\]
### (b) Required Signal Level at 10 km
Using:
\[
SNR_{dB} = P_{signal, dBm} - N_{dBm}
\]
\[
P_{signal} = SNR + N = 25 - 107.9 = -82.9 \, \text{dBm}
\]
### (c) Received Power at 1 km (Free Space Model)
Using:
\[
P_r(1 \text{km}) = P_t + G_t + G_r - FSPL
\]
Where \( FSPL \) can be calculated as shown previously.
### (d) Probability of Achieving Desired SNR (n=4, σ=8)
Using:
\[
Q\left(\frac{SNR_{min} - \mu}{\sigma}\right)
\]
Where \( \mu = -30 \, \text{dBm} \) (used previously):
- Calculate \( Q \)-function for \( P_{signal} = -82.9 \, \text{dBm} \).
---
## 5. Path Loss Exponent and Shadowing
### Given:
- Measured powers: 0 dBm, -25 dBm, -35 dBm, -38 dBm at distances 100 m, 200 m, 1 km, 2 km respectively.
### (a) Minimum Mean Square Error Estimate for Path Loss Exponent \( n \)
Using:
\[
L(d) = L(d_1) - 10n \log_{10}(d/d_1) + X_\sigma
\]
Calculate the least squares estimate for \( n \).
### (b) Standard Deviation of Shadowing
Using:
\[
\text{Calculate } \sigma \text{ based on the deviation from the mean values.}
\]
### (c) Estimate Received Power at \( d = 2 \) km
Using the derived model.
### (d) Probability that Received Signal at 2 km > -35 dBm
Express in terms of Gaussian tail function \( Q \):
\[
Q\left(\frac{-35 - \mu}{\sigma}\right)
\]
---
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