

Chapter 3 Problem Solutions
Problem 3.1
A. Equation (3.25) gives r dB = Pt dB + Gt dB + Gr + 20log(ht ) + 20log(hr ) Lsys 4 10log(d ).
Substituting gives
= 87.5 dBm.
B. The wavelength is given by = 3 108 1.2 109 = 0.250 m.
The free-space path loss is then 4d 4 20 103
path dB = 20log = 20log 0.250 = 120 dB.
The received power in free space is given by the range equation:
Pr dB = Pt dB + Gt dB + Gr dB Lsys dB Lpath dB = 10log 20 + 6 + 2 2 120
0.001 = 71.0 dBm.
C. Equation (3.16) gives
= 2A sin 2 ht hr . dir d
The argument of the sine function is 2hthr d = 2 20 3 = 0.0754 0.250 (20 103 )
Then sin(0.0754) = 0.0753 That is, the argument is about 0.1% larger than the sine.
Problem 3.2
From the geometry of Figure 3.2,
tan( i ) = ht x
x
which gives x = 1.15 103 m. Similarly,
tan(1 ) = 20 , tan( r ) = hr d x
tan(1 ) = 3 , d x
which gives d x = 172 m Adding gives d = 1.32103 m
Now Equation (3.16) gives
Equation (3.17) gives
Relative to the value obtained from Equation (3.16), the approximation of Equation (3.17) is 20log 2.29Adir = 1.99 dB
Problem 3.3
We start by calculating the thermal noise floor. The noise figure is F = 9 dB or F = 7.94. The noise power referred to the receiver input is
In decibels this is Pn dB = 120 dBm. Then for a SNR of 17 dB we need a signal power of Pr dB = 120 + 17 = 103 dBm.
A. From Equation (3.25) we have 103 dBm = 10log 30
= 84.4 dBm 40log(d )
Solving gives d = 48.4 km.
B. In free space the range equation gives 103 dBm = 10log 30 + 6 + 3 3 L .
0.001 path dB
This gives a maximum path loss of Lpath = 154 dB Now L = 20log 4d At 850 MHz the wavelength is = 0.353 m path dB
Substituting gives d = 1.41106 m.
Problem 3.4
Since the noise and interference powers add, we will have to work with power rather than with decibels. From Problem 3.3 we know that the 18 noise floor is at Pn = 957 10 W The signal power is 17 dB higher, or P = 48.0 10 15 W . The signal power exceeds the sum of interference and noise by 16 dB, or by a factor of 39.8. That is, P 48.0 10 15 r = = 39.8. P + P 957 10 18 + P n i i
r
0.001
= 84.4 dBm 40log(di ), is the distance from base station B to the hand-held receiver.
Solving gives di = 182 km The separation between base stations is then dAB = d + di = 48.4 + 182 = 230 km.
Problem 3.5
A. Equation (3.34) gives a(hre ) = 3.2(log(11.75h ))2 4.97 dBfor f 400 MHz
re 0
=3.2(log(11.751.6))2 4.97 dB
= 0.225 dB.
Then Equation (3.33) gives the median path loss as
i
L50 (urban)
= 69.55 + 26.16log( f0 ) 13.82log(hte )
+ (44.9 6.55log(hte ))log(d ) a (hre )
= 69.55 + 26.16log(1200) 13.82log(30)
+ (44.9 6.55log(30))log(12) 0.225
= 167 dB.
B. The received signal power is given by P = 10log 15 dBm + 7 dB + 2 dB 4 dB 167 dB
r dB 0.001
= 121 dBm.
C. Using Equation (3.25), P = 10log 15 + 7 + 2 + 20log(30) + 20log(1.6) 4 4 10log(12 103 )
r dB 0.001
= 82.8 dBm.
The flat Earth model gives an overly optimistic estimate of the received signal power.
Problem 3.6
We start by calculating the thermal noise floor. The noise figure is F = 6 dB or F = 3.98 The noise power referred to the receiver input is
Pn = kT0BF
= (1.38 10 23 )(290)(30 103 )(3.98)
= 478 10 18 W.
In decibels this is Pn dB = 123 dBm. Then for a SNR of 18 dB we need a signal power of Pr dB = 123 + 18 = 105 dBm.
A. Using the parameters from part B of Problem 3.5 we have 105 dBm = 10log 15 dBm + 7 dB + 2 dB 4 dB L (urban) . 0.001 50 db
The maximum path loss is gives L50 (urban) = 152 dB The Hata model
dB
152 dB = 69.55 + 26.16log( f0 ) 13.82log(hte ) + (44.9 6.55log(hte ))log(d ) a(hre )
= 69.55 + 26.16log(1200) 13.82log (30) + (44.9 6.55log(30))log(d ) 0.225.
Solving gives d = 4.35 km .
B. Using Equation (3.25), 105 dBm = 10log 15 + 7 + 2 + 20log(30) + 20log(1.6) 4 4 10log(d )
0.001
Solving gives d = 43.1km .
The flat Earth model overestimates the maximum range by an order of magnitude.
Problem 3.7
Equation (3.35) gives
a(hre ) = (1.1log( f0 ) 0.7)hre (1.56log( f0 ) 0.8)
= (1.11log(1200) 0.7)1.6 (1.56log(1200) 0.8)
= 0.345 dB.
Then Equation (3.33) gives the median path loss in urban areas as
L50 (urban) = 69.55 + 26.16log( f0 ) 13.82log(hte )
+ (44.9 6.55log(hte ))log(d ) a (hre )
= 69.55 + 26.16log(1200) 13.82log(30)
+ (44.9 6.55log(30))log(12) 0.345
= 167 dB.
In suburban areas we have from Equation (3.36) L50 suburban dB
In rural areas Equation (3.37) gives
( ) ( ) ( ) ( )
Problem 3.8
= 138 dB.
In the Lee model, distances are measured in feet and miles. Converting the parameters given in Problem 3.5 gives ht
ft
r = 5.25 ft , and d = 7.46 mi Now Equation (3.50) gives
= 9.77 dB.
Table 3.1 gives P1 mile dB = 77 dBm and
= 4.8 for New York. Equation (3.49), modified to include system losses, gives P = 77 dBm 10 4.8log
,50 dB
= 133 dBm.
Problem 3.9
In the solution to Problem 3.6 we showed that the minimum received signal power is Pr dB = 105 dBm . Using the numbers from Problem 3.8, we have
105 dBm = 77 dBm 10 4.8log
4 dB.
Solving gives d = 1.98 mi , or 3.18 km. This is lower than the 4.35 km obtained in Problem 3.6 using the Hata model. Part of the difference may be a consequence of the large value of path-loss exponent that the Lee model uses for New York City.
Problem 3.10
From Equation (3.64) we have
where the fade margin fm dB is given by
Problem 3.11
The receiver sensitivity is pr dB = 110 dBm
15
95 dBm. From the solution to Problem 3.10 we have

This is equivalent to
Solving gives fm dB = 7.26 dB.

0.15 = Q 7 dB
Fade margin is defined by fm dB = Pr dB pr dB Substituting gives Pr dB = pr dB + fm dB = 95 dBm + 7.26 dB = 87.7 dBm.
Problem 3.12
Equation (3.50) gives
= 20log 100 + 20log 5 30log 1800 c
100 10 850
+ (44 40) + (4 8.15) + (2 2.15)
= 16.1 dB.
Table 3.1 gives P1 mile dB = 70 dBm and = 3.68 for Philadelphia.
Equation (3.49), modified to include system losses, gives P = 70 dBm 10 3.68log 10 16.1 dB 2 dB
r ,50 dB
= 125 dBm.
A. A received signal power 10 dB above the median power is -115 dBm. From Equation (3.64) we have
pr Pr
Pr P p = Q dB dB
r dB r dB path
Pr P 115 dBm = Q 115 dBm ( 125 dBm)
r dB 8 dB
= Q (1.25) = 0.106.
B. At 5 mi the median received signal power is P r,50 5 mi dB = 70 dBm 10 3.68log 5 16.1 dB 2 dB
= 114 dBm.
Then,
Pr P (5 mi)
115 dBm = Q 115 dBm ( 114 dBm)
r dB 8 dB
Problem 3.13
The receiver’s thermal noise floor is given by
P = kT BF = (1.38 10 23 )(290)(200 103 )(3.98) = 3.19 10 15 W, or Pn dB = 115 dBm. The receiver sensitivity is 15 dB above the noise floor, or pr dB = 115 dBm + 15 dB = 100 dBm . Now
pr Pr 100 dBm Pr Pr P p = 0.90 = Q dB dB = Q dB . r dB r dB 8 dB
path
Solving gives P = 89.7 dBm Using the Lee model from Problem dB 3.12, 89.7 dBm = 70 dBm 10 3.68log d 16.1 dB 2 dB.
r 1
Solving gives the maximum operating range as d = 1.11mi or 1.78 km
Problem 3.14
A. From Problem 3.10 we have Pr P p = Q f m dB r dB r dB 0.95 = Q
path 6 dB

The required fade margin is fm dB = 9.87 dB.
B. The receiver’s noise figure is F = 4 dB or F = 2.51. We find the receiver’s noise floor to be
P = kT BF = (1.3810 23 )(290)(30 103 )(2.51) = 30210 18 W, or Pn dB = 125 dBm. The receiver sensitivity is 12 dB above this noise floor, or pr dB = 113 dBm Since the fade margin is given by fm dB = Pr dB pr dB , we have the required median received signal level Pr dB = fm dB + pr dB = 9.87 dB 113 dBm = 103 dBm.
C. The transmitted power is 35 W or Pt dB = 45.4 dBm The range equation gives
103 dBm = 45.4 dBm + 6 dB + 3 dB 3 dB Lpath dB ,
For a medium-sized city Equation (3.35) gives a(hre ) = (1.1log(f0 ) 0.7)hre (1.56log(f0 ) 0.8)
= (1.1log(1200) 0.7)(1.6) (1.56 log (1200) 0.8)
= 0.296 dB.
Then Equation (3.33) gives
L50 (urban) = 69.55 + 26.16log( f0 ) 13.82log(hte )
+ (44.9 6.55log(hte ))log(d ) a (hre )
= 69.55 + 26.16log(1200) 13.82log(hte )
+ (44.9 6.55log(hte ))log(8) 0.296
= 190 19.7log(hte ).
Setting 154 = 190 19.7log(hte ), gives the required antenna height as hte = 63.4 m
Problem 3.15
Equation (3.80) gives




The amplitude A is at its peak when
Now Then
Substituting and solving for f gives
Similarly a the amplitude A is at a null







c 1