Title: Degradation In a Cellular Communication Environment
1Degradation In a Cellular Communication
Environment
- Transferring knowledge to future leaders
Presented by Professor Johnson I Agbinya
jagbinya_at_uwc.ac.za
2Why Look at Degradation In Cellular Networks?
- Signal degradation affects system performance and
capacity - During design and planning of a network we must
provide for effects of degradation - Need to understand how to model them to develop
software to handle system design and planning - Needed for tuning and optimizing networks
- For providing professional consultancy to the
telco industry - To provide the basis for understanding cellular
communication standards on noise performance
3Types of Degradation In Cellular Networks
- Noise
- Multiple Access Interference (MAI)
- Fading
4Focus In This Lecture
- Signal Fading Categories
- Multipath Propagation
- Propagation Models
- Loss Formulae
- Link Budget
5Essential Definitions
- Reflection A change in the direction of a signal
without penetrating the object. Occurs when the
path of a signal is obstructed. The dimensions of
the obstructing object is larger than the
wavelength of the signal - Diffraction An object with large dimension
blocks the path of a wave. - Scattering An object in the path of a wave
causes it to spread or scatter in different
directions. Occurs when the dimensions of the
object are comparable to the wavelength of the
signal.
6Fading - Multipath Propagation
- Multipath
- Signals on transmission take many paths to arrive
at a receiver (multipath) - The strongest component arrives from the direct
path - Multipath Effects cause
- time variations due to multiple delays
- random frequency modulations due to Doppler
shifts - random changes in signal strengths over short
periods - Multipath delay causes the signal to appear
noise-like in amplitude
7Multipath Model
- Multipath is modeled as a linear time varying
filter with impulse response h(t,t) - where t is the multipath delay in the channel for
a fixed time t - a low pass filter approximation is used in
practice - signal components are modeled relative to the
component that arrived first with delay to 0 - components arriving latter are separated at
discrete times with delays in N equally spaced
time intervals of width Dt - components in bin with delay ti i Dt are thus
lumped together as one
8Detecting Multipath Signals
- Techniques
- channel sounding through direct pulse
measurements - spread spectrum sliding correlator
- swept-frequency channel analyser
- Measured parameters
- dispersion parameters (mean excess delay, maximum
excess delay at some given signal to noise ratio
and rms delay spread) - coherence bandwidth
- Doppler spread or spectral broadening
9Doppler Shifts
- Doppler Effect
- A moving object causes the frequency of a
received wave to change - In a cellular communication environment the
measured frequency increases as the mobile moves
towards a base station - As it moves away from the base station, the
frequency decreases - Effects of Doppler shifts
- bandwidth of the signal could increase or
decrease leading to poor and/or missed reception - For a mobile phone in an object (eg. car) moving
at a speed of v m/s, the Doppler shift is - where q is the angle made by the signal path to
the base station and the ground plane
10Effects of Doppler Frequency Shift
- The effect in time is coherence time variation
and signal distortion - Coherence time is the time duration over which
two signals have strong potential for amplitude
correlation - Coherence time expressions
- where fm is the maximum Doppler shift, which
occurs when q 0 degrees - To avoid distortion due to motion in the channel,
the symbol rate must be greater than the inverse
of coherence t
11Delay Spread
- Definition
- The standard deviation of the distribution of
multipath signal amplitudes is called delay
spread, st. - Delay spread varies with the terrain with typical
values for rural, urban and suburban areas
12Coherence Bandwidth
- Doppler frequency shift causes the signal
bandwidth to change. What then is the real
bandwidth of the signal? - The concept of coherence bandwidth is used to
address this question - Definition Coherence bandwidth is defined to be
the statistical measure of the range of
frequencies over which the channel is considered
constant or flat. It is the bandwidth over which
two frequencies have a strong potential for
amplitude correlation
13Estimation of Coherence Bandwidth
- Coherence bandwidth is estimated using the value
of delay spread of the channel, st - For correlation gt 0.9
- For correlation gt 0.5
- Typical values of delay spreads for various types
of terrain
14Categories of Fading
- There are two major categories of fading
- (1) small-scale fading - caused by
- superposition of multipath signals
- speed or RX or TX
- bandwidth of transmitted signal
- (2) large-scale fading -called path loss and
depends on the distance between TX and RX - also known as log-normal fading or shadowing
15Small-Scale Fading
- Also known by other names such as
- Fading multipath and Rayleigh fading
- Rayleigh fading is a result of constructive and
destructive interference between several versions
of the same signal at the receiver, leading to
attenuation of signal power or amplitude - Usually over a fraction of the signal wavelength
- Attenuation between 20 to 30 dB
- multipath fading manifests as time spreading or
time variation of the signal (due to motion,
foliage, reflections and scattering)
16Rayleigh Distribution
- If the impulse response h(t, t) of the mobile
radio station is time invariant and has zero
mean, then the envelope of the impulse response
has a Rayleigh distribution given as - where s2 is the total power in the multipath
signal
17Rice Fading
- If however the impulse response has a non zero
mean then there is a significant component of the
direct path (line of sight, specular component)
signal and the magnitude of the impulse response
has a Ricean distribution - Ricean distribution is the combination of
Rayleigh signal with the direct line of sight
signal. The distribution is - s2 is the power of the line of sight signal and
I0 is a Bessel function of the first kind
18Characteristics of Small-Scale Fading
- Small-scale fading occurs as either of 4 types
- frequency selective fading in which the bandwidth
of the signal is greater than the coherence
bandwidth and the delay spread is greater than
the symbol rate Signals at some frequency
components experience more fading than others -
(caused by multipath delay spread) - flat fading when the bandwidth of the signal is
less than the coherence bandwidth and the delay
spread is less than the symbol rate - (caused by
multipath delay spread) - fast fading when the Doppler spread is high and
the coherence time is less than the symbol period
and - slow fading with a low Doppler spread and
coherence time is greater than the symbol period
- (caused as well by Doppler spread)
19Summary of Small-scale fading
- Correct for small-scale fading with
- adaptive equalizers
- modulation techniques such as spread spectrum
20Propagation of Cellular Communication Signals
- Cellular communication is mostly land based.
- There are a few applications on ships and
airlines using networks in a box and satellites - Propagation considerations are therefore based on
- urban, rural, suburban and
- in a few cases water and desert terrain
- sky or space propagation (satellites)
21Theoretical Propagation Model
- Radio frequency (RF) sources are modeled as
isotropic sources of energy - radiates microwave energy uniformly in all
directions - radiates into the so-called spherical volume
- a half-wave dipole source is used in practice to
model effective radiated power (ERP) - The practical measure for radiating source is
effective isotropic radiated power (EIRP) - a half-wave dipole is used
- EIRP ERP 2.15 dB
- The additional dB corrects for the fact that the
source is not isotropic
22Free Space Propagation (Friis Formula)
- The medium separating the TX and RX is assumed to
be free space - The model accounts for the gains of the TX and RX
antennas, the power transmitted and the volume of
space under consideration - It is given by Friis Formula as
- Where Pr, Pt, Gr and Gt are the receiver power,
transmitter power, receiver antenna and
transmitter antenna gains respectively - and radiation is into a spherical space of radius
d surrounding the antenna
23Loss Between TX and RX
- The dielectric medium between the TX and RX is
usually a wire, air, optic fibre or some liquid.
The loss in the medium is modelled as - In practice the loss is expressed in decibels
- d is distance in km and f is frequency in MHz
24Correction to Free Space Loss
- For UHF mobile communication, a correction is
needed to the above expression - The correction is due to clutter between the TX
and RX and is corrected for with the expression
25Terrestrial Propagation
- RF Propagation of under natural settings is
referred to as terrestrial propagation - For mobile communications, we would like to
introduce the heights of the RX and TX antenna
into the loss equations - We also need to account for losses due to the
terrain, buildings and other man made structures - The theoretical starting point is a two ray
propagation model - Two Ray Propagation
- Consists of a direct and ground reflected paths
26Two Rays Propagation
- The path difference between the direct and
reflected rays is - the path difference is proportional to the
product of the heights of the antennas and
inversely proportional the distance between RX
and TX - destructive reflections from ground surface can
be avoided when the path difference is - When RF waves propagate, they form wavefronts, or
concentric circles called Fresnel zones, one
wavelength apart
27Fresnel Zones
- The Fresnel zones are propagation break points
- At the first Fresnel zone (n1) no reflections of
waves can take place and - The distance to this point is
- Until this point, the propagation is assumed to
be free space and rays travel is direct (point to
point) with no reflections - Free space and terrestrial propagation models are
used for design of microcells and also for in
building coverage or solutions - when the distance is less than the first Fresnel
zone, none of the models is adequate and
empirical design is used
28Propagation Over Specular Ground
- RF propagation over ideal or the so-called
specular ground is modeled by the modified
free-space model - or
- As a result of this fourth power dependence on
distance, every time we double the distance, we
lose 12 dB of signal energy. Consequently - frequency reuse should be done at shorter
distances - The path loss exponent varies from terrain to
terrain
29Path Loss Exponent
- The path loss exponent for various terrain is
given below
30Propagation - Practical Models
- Propagation out door is difficult to predict and
as such, empirical models, without real
analytical basis are applied - Most of the models used are accurate to within 10
to 14 decibels in urban and suburban areas - They tend to be less accurate in rural areas
because most of the data used may have been
collected in the urban and suburban areas - In practice there are huge variations in the
types of terrain and environment to cover. - Heights of antenna, clutter, tree density,
beamwidth, wind speed, season and multipath, vary
widely and affect mobile phone waves. - Hence complex models are required for such
situations. They are used to predict propagation
loss.
31Propagation - Practical Models
- Popular propagation models used in design of
cellular networks include - Okamura model
- Walfisch-Ikegami model
- Hata model
- Cost 231 model
- Egli, Lee, Carey, Longley-Rice and
Ibrahim-Parsons model - Each of these model is an adaptation for specific
terrain and frequency ranges - Most of these models are used in GSM, CDMA, and
IMT-2000 standards for planning of cellular radio
networks
32Hata - Okamura Model
- Used for modelling path loss in suburban areas
- Valid in the 150 to 1500 MHz range (GSM and NMT)
- Expects receivers greater than a km from base
station (BS) - Base station antenna heights greater than 30m
- Therefore model targets 2G (GSM and PCS) systems
in the 900 to 1800 MHz range - Could be extended to 2GHz systems with
modifications with higher base stations not
including hilly and wooded areas - Path loss regions are divided into 3 regimes A, B
and C
33Hata - Okamura Model (1)
- The Path Loss categories considered
- A (maximum path loss) hilly terrain with
moderate-to-heavy tree densities - B (intermediate path loss) terrain conditions
between category A and C - C (minimum path loss) mostly flat terrain with
light tree densities - The median path loss at 1.9 GHz for a distance do
from a base station is given by - where , l is the
wavelength in metres, s is shadowing effect and n
is the path loss exponent
34Corrections and Path Loss Exponent
- The Path Loss exponent can be estimated from the
expression - The constants a, b and c depend on terrain
category - The height of the base station hb is between 10m
and 80m, and do 100m - The corrections to path loss due to terrain are
given - Table Path loss (terrain correction) variables
35Corrections and Path Loss
- Shadowing effects follow a log-normal
distribution with typical standard deviation
between 8.2 and 10.6 dB - Shadowing effects also depends on the terrain and
tree density type - In general correction terms are used to account
for antenna height and frequency region. - For the model to apply to frequencies outside the
range of specification (2GHz), and for receive
antenna heights between 2m and 10m, correction
terms are specified.
36Coarse for of Path Loss Model
- Has 3 correction terms (Lp, Lf and Lh)
- (in dB) is the frequency (in MHz) correction
term given by the expression - The correction term (categories A and B) for
antenna height is - and for categoriy C
- and the height of the receive antenna is in the
range 2m lt h lt 10m -
37Cost 231 Hata Loss Model
- Is applicable to urban areas (flat suburban)
-
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lecture - jagbinya_at_uwc.ac.za
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- Next lecture February .