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Title: RCM -2- 1


1
Un-Fadded, Or Best Case Signal
2
Calculation of link loss budget
  • There are now several components that we need to
    calculate to obtain a link design. These fall
    into two main categories.
  • The strength of the signal received.
  • We have looked at path loss due to the
    propagation of the signal in detail in terms of
    mechanisms, we will now consider several methods
    to calculate the statistical behaviour of this
    process.
  • We have a component based model from which we can
    calculate the power delivered to the receiver,
    compeered to the power delivered by the
    transmitter.
  • The noise level
  • Thermal Noise
  • Atmospheric Noise
  • Man made Noise
  • Cosmic Noise

3
Un-faded Signal At The Receiver
  • We are now going to ignore all the fast and
    variable fade processes we have discussed, so
    that we can obtain a value of delivered power at
    the receiver in ideal conditions.
  • First thing we need to do is calculate the signal
    power at the point where the receiving terminal
    is positioned.
  • We do this by first considering the Equivalent
    Isotropic Radiation Power of the transmitter.
  • To find the power at the receiver we consider
    only Free Space Loss, FSL, and atmospheric
    absorption, Al. This is power delivered at the
    receiver and we call it the Isotropic Receiver
    Power (IRP).
  • This gives us the maximum power that can be
    delivered to the receiver, from this we need to
    understand how much of the power at any time is
  • Delivered to the receiver.
  • Usable by the receiver to extract information
    from.

4
Effects of Noise and C/N
5
The Useful Received Signal
  • From the point of view of knowing how much energy
    is delivered to the receiver we must consider how
    it is effected by noise.
  • The receiving system is itself generating a noise
    signal, to this the environment may be adding
    noise from other sources. The noise will simple
    add to the received signal, so it is now a matter
    of ensuring the delivered power of the wanted
    signal is large enough so that it we can
    distinguish it from the noise.
  • Hence we are interested in the ratio of the
    signal strengths, or simply the signal to noise
    ratio, C/N.
  • We know the power at the receiver, so we can
    define the C/N as
  • Where PN is simply the total noise power

6
Thermal Noise (I)
  • Thermal noise is caused by the thermal motion of
    particles, hence it emanates from all materials.
  • Thermal noise is modelled as a white Gaussian
    stochastic process with power spectral density N0
  • Where k is Baltzmanns constant (k 1.38x1023).
  • T is the absolute temperature in Kelvins.
  • For a bandwidth Limited signal of bandwidth B,
    then the noise power is.
  • In dBs and at room temperature (T290k) this
    becomes, in Watts
  • In milliwatts

7
Thermal Noise (II)
  • The thermal noise level is frequently referred to
    as the thermal threshold. For a receiver
    operating at room temperature it is a function of
    the bandwidth of the receiver (in practical terms
    this is the IF bandwidth (BIF) measured in Hz and
    the noise figure in dBs of the receiver.
  • Thus the thermal noise threshold Pt of the
    receiver can be calculated as follows

8
Noise Figure
  • Consider an amplifier with a Gain Gp and a
    bandwidth B.
  • At the amplifier input we have the signal plus
    the signal noise.
  • At the output we have
  • Where Te is the noise temperature of the
    amplifier referred to its inputs
  • The noise figure for the amplifier is
  • The portion of the noise figure arising from the
    internally generated noise is

9
Example Link Budget Calculation
  • A receiver for a LOS link operating at 2 GHz and
    a bandwidth of 1MHz consists of an Antenna
    preamplifier with a noise temperature of 127K and
    a gain of 20 dB. This is followed by an amplifier
    with a noise figure of 12dB and a gain of 80dB.
  • Compute the overall noise figure and equivalent
    noise temperature of the receiver!
  • The receiving antenna gain is 40dB and the
    antenna noise temperature is 59K. If the
    transmitter antenna gain is 6dB and the expected
    path losses are 190dB, what is the minimum
    required satellite transmitter power to achieve a
    14 dB SNR at the output of the receiver?

10
CALCULATING FM MODULATION BANDWIDTH
  • Frequency Modulation creates modulation sidebands
    that theoretically extend to infinite bandwidth.
    These sidebands consist of Bessel Functions of
    any order. From a practical standpoint the band
    occupancy of an FM modulated carrier only needs
    to count the Bessel Function sidebands of
    significant amplitude. The formula that
    calculates this bandwidth is called CARSON'S
    RULE.
  • This rule requires knowing the modulating
    frequency Fm and the maximum frequency deviation
    ?Fp of the transmitted carrier.
  • Example, a monaural RF band modulator will have a
    peak deviation of 75KHz and the highest audio
    frequency is 15KHz. To calculate the CARSON'S
    RULE bandwidth occupancy of this signal, add the
    highest audio frequency to the peak deviation
    (15KHz 75KHz 90KHz), then multiply by two to
    include both the upper and lower sideband (90KHz
    X 2 180KHz). Since there are many Bessel
    Function sidebands beyond 180KHz, FM channels
    must be spaced considerably farther apart than
    180KHz. The FCC has determined that a spacing of
    400KHz provides sufficient "Guard Band" to
    effectively prevent inter-channel cross-talk, but
    that 180KHz is sufficient bandwidth to receive
    the original modulation with less than 1
    distortion. The distortion is due to a failure to
    receive all of the modulation energy.
  • Amplitude Modulation bandwidth can be considered
    exactly two times the highest frequency of
    modulation, while Frequency Modulation bandwidth
    is described by Bessel Functions that extend much
    higher than those of Amplitude Modulation. In
    fact the "FM Advantage" in signal-to-noise ratio
    stems exactly from spreading the modulation over
    a greater bandwidth than Amplitude Modulation.

11
Antenna Gain Calculation
12
Antennas
  • Types parabolic reflectors, Cassegrain antenna,
    horns, passive reflective reflectors and antenna
    arrays.
  • Parameters to analyse
  • gain a function of the geometric surface and
    frequency.
  • Beam Width
  • Precision in the orientation is required.
  • Radiation Diagrams

13
Antenna Gain (I)
  • We are going to concentrate on Parabolic
    reflectors.
  • These systems have side lobes that means signals
    can couple into the antenna in directions other
    than the line of sight. This will have
    significance when we are considering frequency
    planning.
  • The gain of the antennas is one of the most
    flexible parameters we have in modifying the link
    budget, so we need a mechanism to calculate it.

14
Antenna Gain (II)
  • The antenna Gain is given by
  • Where ? is the antenna efficiency and Da is the
    antenna diameter.
  • Should have a size much greater than Da and
    surface roughness much less than Da.
  • If we measure Da in meters and move into dBs, we
    get
  • The efficiency for such antennas is in range,
    55-65, we assume 55.

15
Passive Repeaters
  • They are used to change the direction of the
    radio path.
  • They can be either parabolic or flat reflectors.
  • Examples
  • Reflectors in far field
  • Passive repeater with two parabolic antennas.
  • Passive repeated with reflecting plane (The angle
    must not be too obtuse).
  • Passive repeater with two reflecting planes in
    one point or two.
  • Reflectors in near field. Places the antenna at a
    specified height.
  • Calculation of attenuation in a path with passive
    reflectors
  • Parabolic reflector (1)
  • Flat reflector (2)
  • The width of the beam decreases as the surface
    increases and it must not be lower than 1º.
  • Periscope configuration (5.16)

16
Fade Margin Calculation
17
Other Random Processes
  • In addition to the noise in the system that is
    seen as a random process, many other aspects of
    the system are subject to random processes.
  • Many things are effecting the signals as they
    propagate.
  • We cannot possibly know all the details of the
    environment through which the signal propagates,
    hence we have to model it by some degree of
    uncertainty.
  • This randomness will have to be accounted for in
    both time and space.

18
Calculating Fade Margins
  • As stated, so far we have calculated only
    Free-space and atmospheric attenuation losses,
    but we have examined in detail the mechanisms
    that would lead to Fading.
  • We have until now only spoken superficially about
    the effects of the fading in real terms, but have
    made it clear the amount of fade is a dynamic
    process.
  • This means that the changes in environment of
    weather conditions will cause changes in the fade
    level through time.
  • We have a calculated value for the signal
    strength presented to the receiver, RSL, but this
    is in fact a maximum value.

The RSL value for a path subject to Freespace
and atmospheric attenuation only.
The real RSL value which varies in time due to
fading processes.
RSL
t
19
Statistical Nature Of Field Strength
  • The complexity of the fading process and the
    number of parameters involved mean that we need
    to take a statistical view of the behaviour of
    the received field strength.
  • The nature of the statistics is controlled by
    many factors. As stated before the terrain,
    climate and path length play a very significant
    role.
  • Path lengths below 5 Kilometres can generally be
    regarded as fade free.
  • We know that we have to obtained a specific level
    of C/N to actually receive the signal. This means
    in summary that to ensure the signal is received
    we need it to exceed a specific value which
    overcomes the thermal noise threshold.
  • If the signal falls below this point the link can
    be considered to be non functioning.
  • As the signal strength varies with time we can
    only ensure that the threshold is exceeded a
    certain percentage of the time.

20
Outage Time
  • We have calculated the RSL and the noise
    threshold, so over time we can see when the link
    is functioning and when it is not,
  • The parts in red are when the field strength
    falls below an acceptable value.
  • This gives us an amount of time during which the
    link fails, the outage time.

RSL
Free-space and atmospheric losses
Fade Margin
Noise power threshold
t
21
Improving Outage Time
  • We can design a particular RSLFS by increasing
    the transmission power, and/or the antenna gain
    etc.. Hence we can change the outage time by
    changing the RSL.
  • In this case we have a much lower outage time,
    hence better performance.
  • Of the many methods to support design, they are
    all effectively estimating the probable outage
    time for a limited set of input parameters.

Free-space and atmospheric losses.
RSL
Fade Margin
Noise power threshold
t
22
Using the Rayleigh Fading Assumptions
  • Once you know what to calculate the trick is then
    to come up with a systematic method to do so.
  • There are many models that are available and many
    organisations have come up with their own
    methodologies.
  • The methods are based on finding the probability
    a field of a given strength will fall below a
    certain value for a known duration of time.
  • If we assume that the fading is due entirely to
    multi-path conditions we can use the Rayleigh
    Distribution to calculate the worst fade
    conditions.
  • The Rayleigh distribution in a microwave link is
    really a worst-case upper-bound value. Empirical
    measurements are also shown which indicate that
    other distributions are more appropriate,
    particularly over the shorter paths over land.
  • As stated previously a complementary function can
    be defined that calculates the probability of
    exceeding a given value.

23
Rayleigh Fade Margin (I)
  • The graph shows the depth of fade in decibels
    versus the fractional time the fade is in excess
    of the abscissa.
  • In summary this means if you take a point along
    the abscissa, say 25dB, then the graph tells you
    that the link would be down 0.003 fractional part
    of the time
  • Additionally the graph shows three separate
    curves a) The Rayleigh curve b) the Durkee
    curve and c) the curve used by the French P.T.T.
  • This data is usually appropriate for a given type
    of terrain and climate and must be substituted
    when the conditions change.

24
Rayleigh Fade Margin (II)
  • For quick calculations the following table can be
    used to calculate the fade margins required to
    support a link availability of a particular
    value.
  • Any level of availability can be calculated by
    extrapolation. For example a link requiring
    99.95 time availability would require a 33dB
    Fade Margin.
  • For example if the minimum un-faded C/N for the
    above link was 20dB, the link would require 20
    33 53 dB power level to meet the 99.95
    objective.

Time Availability () Fade Margin (dB)
90.0 99.0 99.9 99.99 99.999 8 18 28 38 48
25
Path Classification Method (I)
  • This method is based on CCIR recommendations and
    empirical results supplied by Siemens.
  • Siemens has classified into three categories
    depending upon characteristics of the path.
  • The method only applies to overland links that
    have unobstructed LOS conditions.

26
Path Classification Method (II)
  • Type A These paths have favourable fading
    characteristics, troposphereic effects are rare.
    They are over hilly country, but not over wide
    river valleys and inland water and in high
    mountainous country with paths hig above the
    valleys. They can also be characterised as being
    between a plain or a valley and mountains, where
    the angle of elevation exceeds 0.5o.
  • Type B These are paths with average fading
    characteristics and are typically over flat, or
    undulating country where troposphereic effects
    may occur. They are also over hilly country, but
    not over river valleys or open water. They are
    also characterised as being over coastal regions
    in moderate climates, but not over over the sea.
  • Type C These paths have adverse fading
    conditions. They are characterised as being over
    humid areas with ground fog being common. Paths
    that are low over flat country, such as wide
    river valleys and moors. They are typical of
    costal links in hot climates and paths in
    tropically regions with no angle of elevation.

27
Path Classification Method (III)
  • They can be estimated with the following
    formulas.
  • Where PW is the probability that the fade depth A
    is exceeded in one year.
  • F radio carrier frequency in gigahertz.
  • d path length in kilometres.
  • A fading depth in decibels.

28
ITU-R 530 Method
  • This is a more sophisticated method and takes
    into account the type of terrain over which the
    link must travel.
  • It introduces the concept of a geoclimatic factor
    K. Of which there are 4
  • Two types of K are used for over land links.
  • Two types of K are used for over water links.

29
Fading On Multi-Hop Paths
  • Experimental evidence indicates that, in
    clear-air conditions, fading events exceeding 20
    dB on adjacent hops in a multi-hop link are
    almost completely uncorrelated. This suggests
    that, for analogue systems with large fade
    margins, the outage time for a series of hops in
    tandem is approximately given by the sum of the
    outage times for the individual hops.
  • For fade depths not exceeding 10 dB, the
    probability of simultaneously exceeding a given
    fade depth on two adjacent hops can be estimated
    from
  • where P1 and P2 are the probabilities of
    exceeding this fade depth on each individual hop
    (see Note).
  • The correlation between fading on adjacent hops
    decreases with increasing fade depth between
    10 and 20 dB, so that the probability of
    simultaneously exceeding a fade depth greater
    than 20 dB can be approximately expressed by
  • NOTE  The correlation between fading on adjacent
    hops is expected to be dependent on path length.
    The first Equation is an average based on the
    results of measurements on 47 pairs of adjacent
    line-of-sight hops operating in the 5 GHz band,
    with path lengths in the range of 11 to 97 km,
    and an average path length of approximately 45
    km.

30
Attenuation Due To Hydrometeors
  • Attenuation can also occur as a result of
    absorption and scattering by such hydrometeors as
    rain, snow, hail and fog. Although rain
    attenuation can be ignored at frequencies below
    about 5 GHz, it must be included in design
    calculations at higher frequencies, where its
    importance increases rapidly. On paths at high
    latitudes or high altitude paths at lower
    latitudes, wet snow can cause significant
    attenuation over an even larger range of
    frequencies. More detailed information on
    attenuation due to hydrometeors other than rain
    is given in Recommendation ITU-R P.840.
  • At frequencies where both rain attenuation and
    multipath fading must be taken into account, the
    exceedance percentages for a given fade depth
    corresponding to each of these mechanisms can be
    added.

31
Techniques For Alleviating The Effects Of
Multipath Propagation (I)
  • The effects of slow relatively non-frequency
    selective fading (i.e. flat fading) due to beam
    spreading, and faster frequency-selective fading
    due to multipath propagation can be reduced by
    both non-diversity and diversity techniques.

32
Techniques For Alleviating The Effects Of
Multipath Propagation (II)
  • Techniques without diversity The guidance is
    divided into three groups reduction of the
    levels of ground reflection, increase of path
    inclination, and reduction of path clearance.
  • Reduction of ground reflection levels Links
    should be sited where possible to reduce the
    level of surface reflections. Techniques include
    the siting of overwater links to place surface
    reflections on land rather than water and the
    siting of overland and overwater links to
    similarly avoid large flat highly reflecting
    surfaces on land. Another technique known to
    reduce the level of surface reflections is to
    tilt the antennas slightly upwards. Detailed
    information on appropriate tilt angles is not yet
    available. A trade-off must be made between the
    resultant loss in antenna directivity in normal
    refractive conditions that this technique
    entails, and the improvement in multipath fading
    conditions.
  • Increase of path inclination Links should be
    sited to take advantage of terrain in ways that
    will increase the path inclination, since
    increasing path inclination is known to reduce
    the effects of beam spreading, surface multipath
    fading, and atmospheric multipath fading. The
    positions of the antennas on the radio link
    towers should be chosen to give the largest
    possible inclinations, particular for the longest
    links.
  • Reduction of path clearance Another technique
    that is less well understood involves the
    reduction of path clearance. A trade-off must be
    made between the reduction of the effects of
    multipath fading and distortion and the increased
    fading due to sub-refraction. However, for the
    space diversity configuration one antenna might
    be positioned with low clearance.

33
Space Diversity
34
Frequency Diversity
35
Techniques For Alleviating The Effects Of
Multipath Propagation (III)
  • Diversity techniques Diversity techniques include
    space, angle and frequency diversity. Frequency
    diversity should be avoided whenever possible so
    as to conserve spectrum. Whenever space diversity
    is used, angle diversity should also be employed
    by tilting the antennas at different upward
    angles. Angle diversity can be used in situations
    in which adequate space diversity is not possible
    or to reduce tower heights.
  • The degree of improvement afforded by all of
    these techniques depends on the extent to which
    the signals in the diversity branches of the
    system are uncorrelated. For narrow-band analogue
    systems, it is sufficient to determine the
    improvement in the statistics of fade depth at a
    single frequency. For wideband digital systems,
    the diversity improvement also depends on the
    statistics of in-band distortion.
  • The diversity improvement factor, I, for fade
    depth, A, is defined by
  • I p( A ) / pd ( A )
  • where pd (A) is the percentage of time in the
    combined diversity signal branch with fade depth
    larger than A and p(A) is the percentage for the
    unprotected path. The diversity improvement
    factor for digital systems is defined by the
    ratio of the exceedance times for a given BER
    with and without diversity.
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