SlideShare a Scribd company logo
1 of 63
UNIT 2
CELLULAR CONCEPT
Dr Kamal Kr. Sharma
Professor, SEEE
“Provide additional radio capacity with
no additional Increase in Radio
Spectrum”
INTRODUCTION
• Early mobile radio system was to
achieve a large coverage areas by
using high powered transmitter with
an antenna mounted on a tall tower
• In this case it is impossible to reuse those same
frequencies throughout the system
• Since any attempts to achieve frequency reuse
would result in interference
Cont..
• Cellular concept is a system level idea which calls for
replacing a single , high power transmitter with low power
small transmitters with each providing coverage to only a
small portion of service area
• Each base station is allocated a portion of total no of channels
available to entire system
• Nearby base station are assigned different groups of channels
so that all the available channels are assigned to a relatively
small no. of neighboring base stations
• Nearby BS are assigned different groups of channel so that
interference bt. BS is minimized
Cellular Concept
Deployment of Base stations
THE CELLULAR CONCEPT
Cluster of 7 cells
Cells
•seven groups of channel from A to G
•footprint of a cell - actual radio coverage
•omni-directional antenna v.s. directional antenna
possible radio coverage of the cell
idealized shape of the cell
cell
segmentation of the area into cells
CELLULAR NETWORK
– use of several carrier frequencies
– not the same frequency in adjoining cells
– cell sizes vary from some 100 m up to 35 km depending on user
density, geography, transceiver power etc.
– hexagonal shape of cells is idealized (cells overlap, shapes depend on
geography)
– if a mobile user changes cells
 handover of the connection to the neighbor cell
FREQUENCY REUSE
• Each cellular base station is allocated a group of radio channels within a
small geographic area called a cell.
• Neighboring cells are assigned different channel groups.
• By limiting the coverage area to within the boundary of the cell, the
channel groups may be reused to cover different cells.
• Keep interference levels within tolerable limits.
• Frequency reuse or frequency planning
“The design process of selecting and allocating channel groups for
all of the cellular base station within a system is
FREQUENCY REUSE/PLANNING”
Hexagonal cell shape
is perfect over square or triangular cell shapes in cellular architecture
because it cover an entire area without overlapping i.e. they can cover the
entire geographical region without any gaps.
• Consider a cellular system which has a total of S duplex channels.
• Each cell is allocated a group of k channels, .
• The S channels are divided among N cells.
• The total number of available radio channels
• The N cells which use the complete set of channels is called cluster.
• The cluster can be repeated M times within the system. The total
number of channels, C, is used as a measure of capacity
• The capacity is directly proportional to the number of replication M.
• The cluster size, N, is typically equal to 4, 7, or 12.
• Small N is desirable to maximize capacity.
• The frequency reuse factor is given by
Sk 
kNS 
MSMkNC 
N/1
• Hexagonal geometry has
– exactly six equidistance neighbors
– the lines joining the centers of any cell and each of its neighbors are
separated by multiples of 60 degrees.
• Only certain cluster sizes and cell layout are possible.
• The number of cells per cluster, N, can only have values which satisfy
• Co-channel neighbors of a particular cell, ex, i=3 and j=2.
22
jijiN 
Why Hexagon
CLUSTER SIZES AND CELL LAYOUT
A
B
C
A
C
A
C
A
B
C
A F
E
G
D
E
F
D E
The factor N is called the cluster size and is given N=i2+ij+j2
Eg for i=1,j=1 Eg for i=2,j=1
CELL REUSE
EXAMPLE (N=19)
Method of locating co-channel cells in a cellular system. In this example, N = 19 (i.e., I = 3, j = 2). (Adapted
from [Oet83] © IEEE.)
To find the nearest co-channel
neighbor of a particular cell
1. Move ‘i’ cells along any
chain of hexagons
2. Then turn 60 degrees
counter-clockwise and
3. Move ‘j’ cells.
A
A
A
A
A
A
A
i
j
i=1, j=2 , N=1+2+4=7
CLUSTER SIZES AND CELL LAYOUT
ADVANTAGES
• Solves the problem of spectral congestion and
user capacity.
• Offer very high capacity in a limited spectrum
without major technological changes.
• Reuse of radio channel in different cells.
• Enable a fix number of channels to serve an
arbitrarily large number of users by reusing the
channel throughout the coverage region.
CAPACITY EXPANSION IN CELLULAR
SYSTEM
Techniques to provide more channels per coverage
area is by
• Cell splitting
• Cell sectoring
• Coverage zone approaches
• Microcell Zoaning
Frequency Borrowing
• RF bandwidth is the most important constraint
in wireless systems.
• So to increase the capacity, frequency of
Radio Signals and wireless systems shall be
increased.
• To do this, frequencies are taken from
adjacent cells by congested cells.
Channel Assignment Strategies
• Frequency reuse scheme
– increases capacity
– minimize interference
• Channel assignment strategy
– fixed channel assignment
– dynamic channel assignment
• Fixed channel assignment
– each cell is allocated a predetermined set of voice channel
– any new call attempt can only be served by the unused channels
– the call will be blocked if all channels in that cell are occupied
• Dynamic channel assignment
– channels are not allocated to cells permanently.
– allocate channels based on request.
– reduce the likelihood of blocking, increase capacity.
• Cell splitting increases the capacity of cellular system
since it increases the number of times the channel are
reused
• Cell splitting - defining new cells which have smaller
radius than orginal cells by installing these smaller
cells called MICROCELLS between existing cells
• Capacity increases due to additional number of
channels per unit area
“Cell splitting is process of subdividing a congested cell
into smaller cells each with its own base station(with
corresponding reduction in antenna height and tx power)”
CELL SPLITTING
CELL SPLITTING
Split congested cell into smaller cells.
– Preserve frequency reuse plan.
– Reduce transmission power.
microcell
Reduce R to R/2
Cell Splitting
 The unit area of RF coverage for cellular
network is called a cell.
 In each cell, a base station transmits from a
fixed cell site location, which is often centrally
located in the cell.
 In base stations where the usage of cellular
network is high, these cells are split into
smaller cells.
Delhi
ISBT
Gur/
g
Bypa
ss
S/Ex
NOI
DA
N/Ex
Cell Splitting (con’t)
• The radio frequencies are reassigned, and
transmission power is reduced.
• A new cell site must be constructed when a cell
is split
• Cell splitting is one of the easy and less costly
solution when increasing the capacity of cellular
network.
• Splitting the cells into smaller ones also lead to
a new solution called cell sectoring.
Cell Sectoring
• Sectorization consists of dividing an
omnidirectional (360 degree) view from the cell
site into non-overlapping slices called sectors.
• When combined, sectors provide the same
coverage but they are considered to be
separate cells.
• Also considered as one of easy and
inexpensive capacity increasing solution.
Sectoring methods
Sectoring
• In basic form, antennas are omnidirectional.
• Replacing a single omni-directional antenna at base station
with several directional antennas, each radiating within a
specified sector.
• achieves capacity improvement by essentially rescaling the
system.
• less co-channel interference, number of cells in a cluster
can
be reduced
• Larger frequency reuse factor, larger capacity
DAYANANDA SAGAR
Repeater
• Extend coverage range
• Directional antenna or distributed
antenna systems
Microcells
• As the splitting of cell idea evolves, the
usage of smaller cells become efficient and it
leads the creation of microcells.
• The aim of creating microcells are increasing
the capacity of cellular network in areas
where population is high.
Microcells (con’t)
 Typical comparison can be made like this;
 Cells typically range in size from two to twenty
kilometers in diameter.
 Microcells range from about a hundred meters to a
kilometer in diameter.
Micro Cell Zone Concept
• Large control base station is replaced by several
lower powered transmitters on the edge of the
cell.
• The mobile retains the same channel and the
base station simply switches the channel to a
different zone site and the mobile moves from
zone to zone.
• Since a given channel is active only in a
particular zone in which mobile is traveling, base
station radiation is localized and interference is
reduced.
Micro Cell Zone
• Superior to sectoring, any base
station channel may be assigned
to any zone by the base station
• Same channel
• No handoff
• Only the active zone
Example
2.33 times
capacity gain
• Decrease the co-channel interference and keep the cell radius R
unchanged
– Replacing single omni-directional antenna by several directional
antennas
– Radiating within a specified sector
Microcell Zone Concept
• Antennas are placed at the outer edges of the cell
• Any channel may be assigned to any zone by the base station
• Mobile is served by the zone with the strongest signal.
• Handoff within a cell
– No channel re-
assignment
– Switch the channel to
a different zone site
• Reduce interference
– Low power
transmitters are
employed
Handoff Strategies
Mobile Handoff Strategies
• When a mobile moves into a different cell while a conversation is in
progress, the MSC automatically transfers the call to a new channel
belonging to the new base station.
• Handoff operation
– identifying a new base station
– re-allocating the voice and control channels with the new base station.
• Handoff Threshold
– Minimum usable signal for acceptable voice quality (-90dBm to -100dBm)
– Handoff margin cannot be too large or too
small.
– If is too large, unnecessary handoffs burden the MSC
– If is too small, there may be insufficient time to complete handoff
before a call is lost.
usableminimum,, rhandoffr PP 


• Handoff must ensure that the drop in the measured signal
is not due to momentary fading and that the mobile is
actually moving away from the serving base station.
• Running average measurement of signal strength should be
optimized so that unnecessary handoffs are avoided.
– Depends on the speed at which the vehicle is moving.
– Steep short term average -> the hand off should be made quickly
– The speed can be estimated from the statistics of the received
short-term fading signal at the base station
• Dwell time: the time over which a call may be maintained
within a cell without handoff.
• Dwell time depends on
– propagation
– interference
– distance
– speed
• Handoff measurement
– In first generation analog cellular systems, signal strength
measurements are made by the base station and supervised by the
MSC.
– In second generation systems (TDMA), handoff decisions are
mobile assisted, called mobile assisted handoff (MAHO)
• Intersystem handoff: If a mobile moves from one cellular
system to a different cellular system controlled by a
different MSC.
• Handoff requests is much important than handling a new
call.
Practical Handoff Consideration
• Different type of users
– High speed users need frequent handoff during a call.
– Low speed users may never need a handoff during a call.
• Microcells to provide capacity, the MSC can become burdened if high
speed users are constantly being passed between very small cells.
• Minimize handoff intervention
– handle the simultaneous traffic of high speed and low speed users.
• Large and small cells can be located at a single location (umbrella cell)
– different antenna height
– different power level
• Cell dragging problem: pedestrian users provide a very strong signal to
the base station
– The user may travel deep within a neighboring cell
• Handoff for first generation analog cellular systems
– 10 secs handoff time
– is in the order of 6 dB to 12 dB
• Handoff for second generation cellular systems, e.g., GSM
– 1 to 2 seconds handoff time
– mobile assists handoff
– is in the order of 0 dB to 6 dB
– Handoff decisions based on signal strength, co-channel interference, and
adjacent channel interference.
• IS-95 CDMA spread spectrum cellular system
– Mobiles share the channel in every cell.
– No physical change of channel during handoff
– MSC decides the base station with the best receiving signal as the service
station
•


Interference and System Capacity
• Sources of interference
– another mobile in the same cell
– a call in progress in the neighboring cell
– other base stations operating in the same frequency band
– noncellular system leaks energy into the cellular frequency band
• Two major cellular interference
– co-channel interference
– adjacent channel interference
R
D
Co-channel Interference and System Capacity
• Frequency reuse - there are several cells that use the same set of
frequencies
– co-channel cells
– co-channel interference
• To reduce co-channel interference, co-channel cell must be separated
by a minimum distance.
• When the size of the cell is approximately the same
– co-channel interference is independent of the transmitted power
– co-channel interference is a function of
• R: Radius of the cell
• D: distance to the center of the nearest co-channel cell
• Increasing the ratio Q=D/R, the interference is reduced.
• Q is called the co-channel reuse ratio
• For a hexagonal geometry
• A small value of Q provides large capacity
• A large value of Q improves the transmission quality - smaller level of
co-channel interference
• A tradeoff must be made between these two objectives
N
R
D
Q 3
• Let be the number of co-channel interfering cells. The signal-to-
interference ratio (SIR) for a mobile receiver can be expressed as
S: the desired signal power
: interference power caused by the ith interfering co-channel cell base
station
• The average received power at a distance d from the transmitting
antenna is approximated by
or
n is the path loss exponent which ranges between 2 and 4.
0i

 0
1
i
i
iI
S
I
S
iI
n
r
d
d
PP








0
0







0
0 log10)dBm()dBm(
d
d
nPPr
close-in reference point
TX
0d
0P :measued power
• When the transmission power of each base station is equal, SIR for a
mobile can be approximated as
• Consider only the first layer of interfering cells
 


 0
1
i
i
n
i
n
D
R
I
S
 
00
3)/(
i
N
i
RD
I
S
nn

• Example: AMPS requires that SIR be
greater than 18dB
– N should be at least 6.49 for n=4.
– Minimum cluster size is 7
60 i
• For hexagonal geometry with 7-cell cluster, with the mobile unit being
at the cell boundary, the signal-to-interference ratio for the worst case
can be approximated as
44444
4
)()2/()2/()(2 



DRDRDRDRD
R
I
S
Adjacent Channel Interference
Next to another channel
• Results from signals that are adjacent in the frequency to
the desired signal.
• Results from imperfect receiver filters that allow nearby
frequencies to leak in
• Why the prices of handset go down
– because the hardware put in there is cheaper and the filters that we put in there also do not have
two stringent requirements. That is, the sharp cut off do not exist.
desired signal
receiving filter
response
desired signal
interference
interference
signal on adjacent channelsignal on adjacent channel
FILTER
The problem can be severe if the interferer is very close to the
subscriber’s receiver.
So if my friend and I are going in the same car and by whatever
coincidence we both are assigned adjacent channels, then we will
have crosstalk or if the interference is in a channel which is used
for control, then one of the calls might get dropped or some other
problems
Near Far Effect
Another effect of adjacent channel interference is called the
near far effect.
when an interferer close to the base station radiates in the
adjacent channel, while the subscriber is actually far away
from the base station.
So if my interfering handset is close to the base station, where
as I am, as a subscriber far away from the base station, my
signal will get a lot of interference at the base station.
Fairly
weak
Adjacent channel interference can be minimized through
• careful filtering– Expensive filters at base stations
• channel assignment.
• Keep the frequency separation between each channel in a given cell as
large as possible.
– if a subscriber is at a distance d 1 and the interferer is at a distance d
2,then the interference value will be determined by d 1 and d 2 and the
signal to interference ratio prior to filtering is given by
S/I = (d1/d2)-n
The other method to reduce the adjacent channel interference is by
Smart Frequency Separation.
That is, you have a frequency band which has sub-bands to be allocated to different
users called channels
Power Control for Reducing Interference
• Ensure each mobile transmits the smallest power necessary to maintain
a good quality link on the reverse channel
– long battery life
– increase SIR
– solve the near-far problem
• Set-up Time: The time required to allocate a trunked radio channel
to a requesting user.
• Blocked Call: Call which cannot be completed at time of request,
due to congestion. Also referred to as a lost call.
• Holding Time: Average duration of a typical call. Denoted by H (in
seconds).
• Traffic Intensity: Measure of channel time utilization, which is the
average channel occupancy measured in Erlangs. This is a
dimensionless quantity and may be used to measure the time
utilization of single or multiple channels. Denoted by A.
Definitions of Common Terms Used In Trunking
Theory
Grade of Service (GOS): A measure of congestion which is
specified as the
• Probability of a call being blocked (for Erlang B)
• Probability of a call being delayed beyond a certain amount of
time (for Erlang C).
Request Rate: The average number of call requests per unit time.
Denoted by A seconds.
Load: Traffic intensity across the entire trunked radio system,
measured in Erlangs.
Definitions….
Trunking and Grade of Service
• Erlangs: One Erlangs represents the amount of traffic density carried
by a channel that is completely occupied.
– Ex: A radio channel that is occupied for 30 minutes during an hour carries
0.5 Erlangs of traffic.
• Grade of Service (GOS): The likelihood that a call is blocked.
• Each user generates a traffic intensity of Erlangs given by
H: average duration of a call.
: average number of call requests per unit time
• For a system containing U users and an unspecified number of
channels, the total offered traffic intensity A, is given by
• For C channel trunking system, the traffic intensity, is given as
HAu 

uUAA 
cA
CUAA uc /
uA

More Related Content

What's hot

Multiple acces techniques
Multiple acces techniquesMultiple acces techniques
Multiple acces techniquesparamsidhu89
 
Ec 2401 wireless communication unit 2
Ec 2401 wireless communication   unit 2Ec 2401 wireless communication   unit 2
Ec 2401 wireless communication unit 2JAIGANESH SEKAR
 
Chap 5 (small scale fading)
Chap 5 (small scale fading)Chap 5 (small scale fading)
Chap 5 (small scale fading)asadkhan1327
 
Antennas - Array of point sources
Antennas - Array of point sourcesAntennas - Array of point sources
Antennas - Array of point sourcesAnil Kumar
 
Frequency Division Multiple Access (FDMA)
Frequency Division Multiple Access (FDMA)Frequency Division Multiple Access (FDMA)
Frequency Division Multiple Access (FDMA)Miles Kevin Galario
 
Cellular network
Cellular networkCellular network
Cellular networkMr SMAK
 
Spread Spectrum Multiple Access
 Spread Spectrum Multiple Access Spread Spectrum Multiple Access
Spread Spectrum Multiple Accessguest734441
 
Broadside array vs end fire array
Broadside array vs end fire arrayBroadside array vs end fire array
Broadside array vs end fire arrayAJAL A J
 
Diversity Techniques in Wireless Communication
Diversity Techniques in Wireless CommunicationDiversity Techniques in Wireless Communication
Diversity Techniques in Wireless CommunicationSahar Foroughi
 
Adjacent channel interference in wireless .
Adjacent channel interference in wireless .Adjacent channel interference in wireless .
Adjacent channel interference in wireless .Mahmood Showrav
 
fdocuments.net_1-cellular-system-design-fundamentals-chapter-3-wireless-commu...
fdocuments.net_1-cellular-system-design-fundamentals-chapter-3-wireless-commu...fdocuments.net_1-cellular-system-design-fundamentals-chapter-3-wireless-commu...
fdocuments.net_1-cellular-system-design-fundamentals-chapter-3-wireless-commu...GeoffreyAlleyne
 
Channel planning
Channel planningChannel planning
Channel planningAJAL A J
 
Smart antenna systems
Smart antenna systems Smart antenna systems
Smart antenna systems Apoorva Shetty
 
9. parameters of mobile multipath channels
9. parameters of mobile multipath channels9. parameters of mobile multipath channels
9. parameters of mobile multipath channelsJAIGANESH SEKAR
 

What's hot (20)

Multiple acces techniques
Multiple acces techniquesMultiple acces techniques
Multiple acces techniques
 
Spread spectrum
Spread spectrumSpread spectrum
Spread spectrum
 
Ec 2401 wireless communication unit 2
Ec 2401 wireless communication   unit 2Ec 2401 wireless communication   unit 2
Ec 2401 wireless communication unit 2
 
Chap 5 (small scale fading)
Chap 5 (small scale fading)Chap 5 (small scale fading)
Chap 5 (small scale fading)
 
Antennas - Array of point sources
Antennas - Array of point sourcesAntennas - Array of point sources
Antennas - Array of point sources
 
Frequency Division Multiple Access (FDMA)
Frequency Division Multiple Access (FDMA)Frequency Division Multiple Access (FDMA)
Frequency Division Multiple Access (FDMA)
 
Multiple access techniques for wireless communications
Multiple access techniques for wireless communicationsMultiple access techniques for wireless communications
Multiple access techniques for wireless communications
 
Cellular network
Cellular networkCellular network
Cellular network
 
Cdma2000
Cdma2000Cdma2000
Cdma2000
 
Spread Spectrum Multiple Access
 Spread Spectrum Multiple Access Spread Spectrum Multiple Access
Spread Spectrum Multiple Access
 
CELLULAR MOBILE RADIO SYSTEMS
CELLULAR MOBILE RADIO SYSTEMSCELLULAR MOBILE RADIO SYSTEMS
CELLULAR MOBILE RADIO SYSTEMS
 
Broadside array vs end fire array
Broadside array vs end fire arrayBroadside array vs end fire array
Broadside array vs end fire array
 
Diversity Techniques in Wireless Communication
Diversity Techniques in Wireless CommunicationDiversity Techniques in Wireless Communication
Diversity Techniques in Wireless Communication
 
Amps
AmpsAmps
Amps
 
Adjacent channel interference in wireless .
Adjacent channel interference in wireless .Adjacent channel interference in wireless .
Adjacent channel interference in wireless .
 
MIMO in 15 minutes
MIMO in 15 minutesMIMO in 15 minutes
MIMO in 15 minutes
 
fdocuments.net_1-cellular-system-design-fundamentals-chapter-3-wireless-commu...
fdocuments.net_1-cellular-system-design-fundamentals-chapter-3-wireless-commu...fdocuments.net_1-cellular-system-design-fundamentals-chapter-3-wireless-commu...
fdocuments.net_1-cellular-system-design-fundamentals-chapter-3-wireless-commu...
 
Channel planning
Channel planningChannel planning
Channel planning
 
Smart antenna systems
Smart antenna systems Smart antenna systems
Smart antenna systems
 
9. parameters of mobile multipath channels
9. parameters of mobile multipath channels9. parameters of mobile multipath channels
9. parameters of mobile multipath channels
 

Similar to Cellular concepts and system design fundamentals

Mobile communication demo
Mobile communication demoMobile communication demo
Mobile communication demoAsit Panda
 
Mba admission in india
Mba admission in indiaMba admission in india
Mba admission in indiaEdhole.com
 
Mba admission in india
Mba admission in indiaMba admission in india
Mba admission in indiaEdhole.com
 
2.6 cellular concepts - frequency reusing, channel assignment
2.6   cellular concepts - frequency reusing, channel assignment2.6   cellular concepts - frequency reusing, channel assignment
2.6 cellular concepts - frequency reusing, channel assignmentJAIGANESH SEKAR
 
Bab 3 konsep sistem komunikasi bergerak
Bab 3 konsep sistem komunikasi bergerakBab 3 konsep sistem komunikasi bergerak
Bab 3 konsep sistem komunikasi bergerakampas03
 
Concepts of & cell sectoring and micro cell
Concepts of & cell sectoring and micro cellConcepts of & cell sectoring and micro cell
Concepts of & cell sectoring and micro cellKundan Kumar
 
cellular-communications
 cellular-communications cellular-communications
cellular-communicationsjhcid
 
fundamenatals of cellular enginering
fundamenatals of cellular engineringfundamenatals of cellular enginering
fundamenatals of cellular engineringMaulik Patel
 
Presentation1
Presentation1Presentation1
Presentation1tapubhai
 
Freq reuse detail.ppt
Freq reuse  detail.pptFreq reuse  detail.ppt
Freq reuse detail.pptjaveriazafeer
 
wireless-communication-architecture
 wireless-communication-architecture wireless-communication-architecture
wireless-communication-architecturejhcid
 
2-frequencyreusenb-130206113258-phpapp02.pdf
2-frequencyreusenb-130206113258-phpapp02.pdf2-frequencyreusenb-130206113258-phpapp02.pdf
2-frequencyreusenb-130206113258-phpapp02.pdfKumarSaurabh314476
 
Thr cellular concept
Thr cellular conceptThr cellular concept
Thr cellular conceptSajid Marwat
 
Cellular Wireless Networks p1 chap 2.pptx
Cellular Wireless Networks p1 chap 2.pptxCellular Wireless Networks p1 chap 2.pptx
Cellular Wireless Networks p1 chap 2.pptxnazimsattar
 

Similar to Cellular concepts and system design fundamentals (20)

Mobile communication demo
Mobile communication demoMobile communication demo
Mobile communication demo
 
Mba admission in india
Mba admission in indiaMba admission in india
Mba admission in india
 
Mba admission in india
Mba admission in indiaMba admission in india
Mba admission in india
 
section5.pptx
section5.pptxsection5.pptx
section5.pptx
 
Frequency reuse
Frequency reuseFrequency reuse
Frequency reuse
 
cellular ppt
cellular pptcellular ppt
cellular ppt
 
Improving coverage and capacity in cellular systems
Improving coverage and capacity in cellular systemsImproving coverage and capacity in cellular systems
Improving coverage and capacity in cellular systems
 
2.6 cellular concepts - frequency reusing, channel assignment
2.6   cellular concepts - frequency reusing, channel assignment2.6   cellular concepts - frequency reusing, channel assignment
2.6 cellular concepts - frequency reusing, channel assignment
 
Bab 3 konsep sistem komunikasi bergerak
Bab 3 konsep sistem komunikasi bergerakBab 3 konsep sistem komunikasi bergerak
Bab 3 konsep sistem komunikasi bergerak
 
Concepts of & cell sectoring and micro cell
Concepts of & cell sectoring and micro cellConcepts of & cell sectoring and micro cell
Concepts of & cell sectoring and micro cell
 
WC PPT UNIT-II.ppt
WC PPT UNIT-II.pptWC PPT UNIT-II.ppt
WC PPT UNIT-II.ppt
 
cellular-communications
 cellular-communications cellular-communications
cellular-communications
 
fundamenatals of cellular enginering
fundamenatals of cellular engineringfundamenatals of cellular enginering
fundamenatals of cellular enginering
 
Presentation1
Presentation1Presentation1
Presentation1
 
Cellular system design
Cellular system designCellular system design
Cellular system design
 
Freq reuse detail.ppt
Freq reuse  detail.pptFreq reuse  detail.ppt
Freq reuse detail.ppt
 
wireless-communication-architecture
 wireless-communication-architecture wireless-communication-architecture
wireless-communication-architecture
 
2-frequencyreusenb-130206113258-phpapp02.pdf
2-frequencyreusenb-130206113258-phpapp02.pdf2-frequencyreusenb-130206113258-phpapp02.pdf
2-frequencyreusenb-130206113258-phpapp02.pdf
 
Thr cellular concept
Thr cellular conceptThr cellular concept
Thr cellular concept
 
Cellular Wireless Networks p1 chap 2.pptx
Cellular Wireless Networks p1 chap 2.pptxCellular Wireless Networks p1 chap 2.pptx
Cellular Wireless Networks p1 chap 2.pptx
 

Recently uploaded

chaitra-1.pptx fake news detection using machine learning
chaitra-1.pptx  fake news detection using machine learningchaitra-1.pptx  fake news detection using machine learning
chaitra-1.pptx fake news detection using machine learningmisbanausheenparvam
 
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube ExchangerStudy on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube ExchangerAnamika Sarkar
 
Call Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call GirlsCall Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call Girlsssuser7cb4ff
 
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptxDecoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptxJoão Esperancinha
 
IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024Mark Billinghurst
 
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...ranjana rawat
 
Artificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptxArtificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptxbritheesh05
 
Heart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptxHeart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptxPoojaBan
 
microprocessor 8085 and its interfacing
microprocessor 8085  and its interfacingmicroprocessor 8085  and its interfacing
microprocessor 8085 and its interfacingjaychoudhary37
 
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130Suhani Kapoor
 
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...Dr.Costas Sachpazis
 
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur EscortsHigh Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escortsranjana rawat
 
Software and Systems Engineering Standards: Verification and Validation of Sy...
Software and Systems Engineering Standards: Verification and Validation of Sy...Software and Systems Engineering Standards: Verification and Validation of Sy...
Software and Systems Engineering Standards: Verification and Validation of Sy...VICTOR MAESTRE RAMIREZ
 
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IVHARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IVRajaP95
 
ZXCTN 5804 / ZTE PTN / ZTE POTN / ZTE 5804 PTN / ZTE POTN 5804 ( 100/200 GE Z...
ZXCTN 5804 / ZTE PTN / ZTE POTN / ZTE 5804 PTN / ZTE POTN 5804 ( 100/200 GE Z...ZXCTN 5804 / ZTE PTN / ZTE POTN / ZTE 5804 PTN / ZTE POTN 5804 ( 100/200 GE Z...
ZXCTN 5804 / ZTE PTN / ZTE POTN / ZTE 5804 PTN / ZTE POTN 5804 ( 100/200 GE Z...ZTE
 
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...Soham Mondal
 
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service NashikCollege Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service NashikCall Girls in Nagpur High Profile
 
Past, Present and Future of Generative AI
Past, Present and Future of Generative AIPast, Present and Future of Generative AI
Past, Present and Future of Generative AIabhishek36461
 

Recently uploaded (20)

chaitra-1.pptx fake news detection using machine learning
chaitra-1.pptx  fake news detection using machine learningchaitra-1.pptx  fake news detection using machine learning
chaitra-1.pptx fake news detection using machine learning
 
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube ExchangerStudy on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
 
Call Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call GirlsCall Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call Girls
 
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptxDecoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
 
IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024
 
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
 
Artificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptxArtificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptx
 
Heart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptxHeart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptx
 
microprocessor 8085 and its interfacing
microprocessor 8085  and its interfacingmicroprocessor 8085  and its interfacing
microprocessor 8085 and its interfacing
 
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptxExploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
 
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
 
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
 
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
 
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur EscortsHigh Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
 
Software and Systems Engineering Standards: Verification and Validation of Sy...
Software and Systems Engineering Standards: Verification and Validation of Sy...Software and Systems Engineering Standards: Verification and Validation of Sy...
Software and Systems Engineering Standards: Verification and Validation of Sy...
 
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IVHARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
 
ZXCTN 5804 / ZTE PTN / ZTE POTN / ZTE 5804 PTN / ZTE POTN 5804 ( 100/200 GE Z...
ZXCTN 5804 / ZTE PTN / ZTE POTN / ZTE 5804 PTN / ZTE POTN 5804 ( 100/200 GE Z...ZXCTN 5804 / ZTE PTN / ZTE POTN / ZTE 5804 PTN / ZTE POTN 5804 ( 100/200 GE Z...
ZXCTN 5804 / ZTE PTN / ZTE POTN / ZTE 5804 PTN / ZTE POTN 5804 ( 100/200 GE Z...
 
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
 
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service NashikCollege Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
 
Past, Present and Future of Generative AI
Past, Present and Future of Generative AIPast, Present and Future of Generative AI
Past, Present and Future of Generative AI
 

Cellular concepts and system design fundamentals

  • 1. UNIT 2 CELLULAR CONCEPT Dr Kamal Kr. Sharma Professor, SEEE “Provide additional radio capacity with no additional Increase in Radio Spectrum”
  • 2. INTRODUCTION • Early mobile radio system was to achieve a large coverage areas by using high powered transmitter with an antenna mounted on a tall tower • In this case it is impossible to reuse those same frequencies throughout the system • Since any attempts to achieve frequency reuse would result in interference
  • 3. Cont.. • Cellular concept is a system level idea which calls for replacing a single , high power transmitter with low power small transmitters with each providing coverage to only a small portion of service area • Each base station is allocated a portion of total no of channels available to entire system • Nearby base station are assigned different groups of channels so that all the available channels are assigned to a relatively small no. of neighboring base stations • Nearby BS are assigned different groups of channel so that interference bt. BS is minimized
  • 5.
  • 6.
  • 7.
  • 9. THE CELLULAR CONCEPT Cluster of 7 cells Cells •seven groups of channel from A to G •footprint of a cell - actual radio coverage •omni-directional antenna v.s. directional antenna
  • 10. possible radio coverage of the cell idealized shape of the cell cell segmentation of the area into cells CELLULAR NETWORK – use of several carrier frequencies – not the same frequency in adjoining cells – cell sizes vary from some 100 m up to 35 km depending on user density, geography, transceiver power etc. – hexagonal shape of cells is idealized (cells overlap, shapes depend on geography) – if a mobile user changes cells  handover of the connection to the neighbor cell
  • 11. FREQUENCY REUSE • Each cellular base station is allocated a group of radio channels within a small geographic area called a cell. • Neighboring cells are assigned different channel groups. • By limiting the coverage area to within the boundary of the cell, the channel groups may be reused to cover different cells. • Keep interference levels within tolerable limits. • Frequency reuse or frequency planning “The design process of selecting and allocating channel groups for all of the cellular base station within a system is FREQUENCY REUSE/PLANNING” Hexagonal cell shape is perfect over square or triangular cell shapes in cellular architecture because it cover an entire area without overlapping i.e. they can cover the entire geographical region without any gaps.
  • 12. • Consider a cellular system which has a total of S duplex channels. • Each cell is allocated a group of k channels, . • The S channels are divided among N cells. • The total number of available radio channels • The N cells which use the complete set of channels is called cluster. • The cluster can be repeated M times within the system. The total number of channels, C, is used as a measure of capacity • The capacity is directly proportional to the number of replication M. • The cluster size, N, is typically equal to 4, 7, or 12. • Small N is desirable to maximize capacity. • The frequency reuse factor is given by Sk  kNS  MSMkNC  N/1
  • 13. • Hexagonal geometry has – exactly six equidistance neighbors – the lines joining the centers of any cell and each of its neighbors are separated by multiples of 60 degrees. • Only certain cluster sizes and cell layout are possible. • The number of cells per cluster, N, can only have values which satisfy • Co-channel neighbors of a particular cell, ex, i=3 and j=2. 22 jijiN  Why Hexagon
  • 14. CLUSTER SIZES AND CELL LAYOUT A B C A C A C A B C A F E G D E F D E The factor N is called the cluster size and is given N=i2+ij+j2 Eg for i=1,j=1 Eg for i=2,j=1
  • 15. CELL REUSE EXAMPLE (N=19) Method of locating co-channel cells in a cellular system. In this example, N = 19 (i.e., I = 3, j = 2). (Adapted from [Oet83] © IEEE.) To find the nearest co-channel neighbor of a particular cell 1. Move ‘i’ cells along any chain of hexagons 2. Then turn 60 degrees counter-clockwise and 3. Move ‘j’ cells.
  • 16. A A A A A A A i j i=1, j=2 , N=1+2+4=7 CLUSTER SIZES AND CELL LAYOUT
  • 17. ADVANTAGES • Solves the problem of spectral congestion and user capacity. • Offer very high capacity in a limited spectrum without major technological changes. • Reuse of radio channel in different cells. • Enable a fix number of channels to serve an arbitrarily large number of users by reusing the channel throughout the coverage region.
  • 18. CAPACITY EXPANSION IN CELLULAR SYSTEM Techniques to provide more channels per coverage area is by • Cell splitting • Cell sectoring • Coverage zone approaches • Microcell Zoaning
  • 19. Frequency Borrowing • RF bandwidth is the most important constraint in wireless systems. • So to increase the capacity, frequency of Radio Signals and wireless systems shall be increased. • To do this, frequencies are taken from adjacent cells by congested cells.
  • 20. Channel Assignment Strategies • Frequency reuse scheme – increases capacity – minimize interference • Channel assignment strategy – fixed channel assignment – dynamic channel assignment • Fixed channel assignment – each cell is allocated a predetermined set of voice channel – any new call attempt can only be served by the unused channels – the call will be blocked if all channels in that cell are occupied • Dynamic channel assignment – channels are not allocated to cells permanently. – allocate channels based on request. – reduce the likelihood of blocking, increase capacity.
  • 21. • Cell splitting increases the capacity of cellular system since it increases the number of times the channel are reused • Cell splitting - defining new cells which have smaller radius than orginal cells by installing these smaller cells called MICROCELLS between existing cells • Capacity increases due to additional number of channels per unit area “Cell splitting is process of subdividing a congested cell into smaller cells each with its own base station(with corresponding reduction in antenna height and tx power)” CELL SPLITTING
  • 22. CELL SPLITTING Split congested cell into smaller cells. – Preserve frequency reuse plan. – Reduce transmission power. microcell Reduce R to R/2
  • 23. Cell Splitting  The unit area of RF coverage for cellular network is called a cell.  In each cell, a base station transmits from a fixed cell site location, which is often centrally located in the cell.  In base stations where the usage of cellular network is high, these cells are split into smaller cells.
  • 25. Cell Splitting (con’t) • The radio frequencies are reassigned, and transmission power is reduced. • A new cell site must be constructed when a cell is split • Cell splitting is one of the easy and less costly solution when increasing the capacity of cellular network. • Splitting the cells into smaller ones also lead to a new solution called cell sectoring.
  • 26. Cell Sectoring • Sectorization consists of dividing an omnidirectional (360 degree) view from the cell site into non-overlapping slices called sectors. • When combined, sectors provide the same coverage but they are considered to be separate cells. • Also considered as one of easy and inexpensive capacity increasing solution.
  • 28. Sectoring • In basic form, antennas are omnidirectional. • Replacing a single omni-directional antenna at base station with several directional antennas, each radiating within a specified sector. • achieves capacity improvement by essentially rescaling the system. • less co-channel interference, number of cells in a cluster can be reduced • Larger frequency reuse factor, larger capacity
  • 29.
  • 30. DAYANANDA SAGAR Repeater • Extend coverage range • Directional antenna or distributed antenna systems
  • 31. Microcells • As the splitting of cell idea evolves, the usage of smaller cells become efficient and it leads the creation of microcells. • The aim of creating microcells are increasing the capacity of cellular network in areas where population is high.
  • 32. Microcells (con’t)  Typical comparison can be made like this;  Cells typically range in size from two to twenty kilometers in diameter.  Microcells range from about a hundred meters to a kilometer in diameter.
  • 33. Micro Cell Zone Concept • Large control base station is replaced by several lower powered transmitters on the edge of the cell. • The mobile retains the same channel and the base station simply switches the channel to a different zone site and the mobile moves from zone to zone. • Since a given channel is active only in a particular zone in which mobile is traveling, base station radiation is localized and interference is reduced.
  • 34. Micro Cell Zone • Superior to sectoring, any base station channel may be assigned to any zone by the base station • Same channel • No handoff • Only the active zone
  • 36. • Decrease the co-channel interference and keep the cell radius R unchanged – Replacing single omni-directional antenna by several directional antennas – Radiating within a specified sector
  • 37. Microcell Zone Concept • Antennas are placed at the outer edges of the cell • Any channel may be assigned to any zone by the base station • Mobile is served by the zone with the strongest signal. • Handoff within a cell – No channel re- assignment – Switch the channel to a different zone site • Reduce interference – Low power transmitters are employed
  • 39. Mobile Handoff Strategies • When a mobile moves into a different cell while a conversation is in progress, the MSC automatically transfers the call to a new channel belonging to the new base station. • Handoff operation – identifying a new base station – re-allocating the voice and control channels with the new base station. • Handoff Threshold – Minimum usable signal for acceptable voice quality (-90dBm to -100dBm) – Handoff margin cannot be too large or too small. – If is too large, unnecessary handoffs burden the MSC – If is too small, there may be insufficient time to complete handoff before a call is lost. usableminimum,, rhandoffr PP   
  • 40.
  • 41. • Handoff must ensure that the drop in the measured signal is not due to momentary fading and that the mobile is actually moving away from the serving base station. • Running average measurement of signal strength should be optimized so that unnecessary handoffs are avoided. – Depends on the speed at which the vehicle is moving. – Steep short term average -> the hand off should be made quickly – The speed can be estimated from the statistics of the received short-term fading signal at the base station • Dwell time: the time over which a call may be maintained within a cell without handoff. • Dwell time depends on – propagation – interference – distance – speed
  • 42. • Handoff measurement – In first generation analog cellular systems, signal strength measurements are made by the base station and supervised by the MSC. – In second generation systems (TDMA), handoff decisions are mobile assisted, called mobile assisted handoff (MAHO) • Intersystem handoff: If a mobile moves from one cellular system to a different cellular system controlled by a different MSC. • Handoff requests is much important than handling a new call.
  • 43.
  • 44. Practical Handoff Consideration • Different type of users – High speed users need frequent handoff during a call. – Low speed users may never need a handoff during a call. • Microcells to provide capacity, the MSC can become burdened if high speed users are constantly being passed between very small cells. • Minimize handoff intervention – handle the simultaneous traffic of high speed and low speed users. • Large and small cells can be located at a single location (umbrella cell) – different antenna height – different power level • Cell dragging problem: pedestrian users provide a very strong signal to the base station – The user may travel deep within a neighboring cell
  • 45.
  • 46. • Handoff for first generation analog cellular systems – 10 secs handoff time – is in the order of 6 dB to 12 dB • Handoff for second generation cellular systems, e.g., GSM – 1 to 2 seconds handoff time – mobile assists handoff – is in the order of 0 dB to 6 dB – Handoff decisions based on signal strength, co-channel interference, and adjacent channel interference. • IS-95 CDMA spread spectrum cellular system – Mobiles share the channel in every cell. – No physical change of channel during handoff – MSC decides the base station with the best receiving signal as the service station •  
  • 47. Interference and System Capacity • Sources of interference – another mobile in the same cell – a call in progress in the neighboring cell – other base stations operating in the same frequency band – noncellular system leaks energy into the cellular frequency band • Two major cellular interference – co-channel interference – adjacent channel interference
  • 48. R D
  • 49. Co-channel Interference and System Capacity • Frequency reuse - there are several cells that use the same set of frequencies – co-channel cells – co-channel interference • To reduce co-channel interference, co-channel cell must be separated by a minimum distance. • When the size of the cell is approximately the same – co-channel interference is independent of the transmitted power – co-channel interference is a function of • R: Radius of the cell • D: distance to the center of the nearest co-channel cell • Increasing the ratio Q=D/R, the interference is reduced. • Q is called the co-channel reuse ratio
  • 50. • For a hexagonal geometry • A small value of Q provides large capacity • A large value of Q improves the transmission quality - smaller level of co-channel interference • A tradeoff must be made between these two objectives N R D Q 3
  • 51. • Let be the number of co-channel interfering cells. The signal-to- interference ratio (SIR) for a mobile receiver can be expressed as S: the desired signal power : interference power caused by the ith interfering co-channel cell base station • The average received power at a distance d from the transmitting antenna is approximated by or n is the path loss exponent which ranges between 2 and 4. 0i   0 1 i i iI S I S iI n r d d PP         0 0        0 0 log10)dBm()dBm( d d nPPr close-in reference point TX 0d 0P :measued power
  • 52. • When the transmission power of each base station is equal, SIR for a mobile can be approximated as • Consider only the first layer of interfering cells      0 1 i i n i n D R I S   00 3)/( i N i RD I S nn  • Example: AMPS requires that SIR be greater than 18dB – N should be at least 6.49 for n=4. – Minimum cluster size is 7 60 i
  • 53. • For hexagonal geometry with 7-cell cluster, with the mobile unit being at the cell boundary, the signal-to-interference ratio for the worst case can be approximated as 44444 4 )()2/()2/()(2     DRDRDRDRD R I S
  • 54. Adjacent Channel Interference Next to another channel • Results from signals that are adjacent in the frequency to the desired signal. • Results from imperfect receiver filters that allow nearby frequencies to leak in • Why the prices of handset go down – because the hardware put in there is cheaper and the filters that we put in there also do not have two stringent requirements. That is, the sharp cut off do not exist. desired signal receiving filter response desired signal interference interference signal on adjacent channelsignal on adjacent channel FILTER
  • 55. The problem can be severe if the interferer is very close to the subscriber’s receiver. So if my friend and I are going in the same car and by whatever coincidence we both are assigned adjacent channels, then we will have crosstalk or if the interference is in a channel which is used for control, then one of the calls might get dropped or some other problems
  • 56. Near Far Effect Another effect of adjacent channel interference is called the near far effect. when an interferer close to the base station radiates in the adjacent channel, while the subscriber is actually far away from the base station. So if my interfering handset is close to the base station, where as I am, as a subscriber far away from the base station, my signal will get a lot of interference at the base station.
  • 58. Adjacent channel interference can be minimized through • careful filtering– Expensive filters at base stations • channel assignment. • Keep the frequency separation between each channel in a given cell as large as possible. – if a subscriber is at a distance d 1 and the interferer is at a distance d 2,then the interference value will be determined by d 1 and d 2 and the signal to interference ratio prior to filtering is given by S/I = (d1/d2)-n
  • 59. The other method to reduce the adjacent channel interference is by Smart Frequency Separation. That is, you have a frequency band which has sub-bands to be allocated to different users called channels
  • 60. Power Control for Reducing Interference • Ensure each mobile transmits the smallest power necessary to maintain a good quality link on the reverse channel – long battery life – increase SIR – solve the near-far problem
  • 61. • Set-up Time: The time required to allocate a trunked radio channel to a requesting user. • Blocked Call: Call which cannot be completed at time of request, due to congestion. Also referred to as a lost call. • Holding Time: Average duration of a typical call. Denoted by H (in seconds). • Traffic Intensity: Measure of channel time utilization, which is the average channel occupancy measured in Erlangs. This is a dimensionless quantity and may be used to measure the time utilization of single or multiple channels. Denoted by A. Definitions of Common Terms Used In Trunking Theory
  • 62. Grade of Service (GOS): A measure of congestion which is specified as the • Probability of a call being blocked (for Erlang B) • Probability of a call being delayed beyond a certain amount of time (for Erlang C). Request Rate: The average number of call requests per unit time. Denoted by A seconds. Load: Traffic intensity across the entire trunked radio system, measured in Erlangs. Definitions….
  • 63. Trunking and Grade of Service • Erlangs: One Erlangs represents the amount of traffic density carried by a channel that is completely occupied. – Ex: A radio channel that is occupied for 30 minutes during an hour carries 0.5 Erlangs of traffic. • Grade of Service (GOS): The likelihood that a call is blocked. • Each user generates a traffic intensity of Erlangs given by H: average duration of a call. : average number of call requests per unit time • For a system containing U users and an unspecified number of channels, the total offered traffic intensity A, is given by • For C channel trunking system, the traffic intensity, is given as HAu   uUAA  cA CUAA uc / uA