SlideShare uma empresa Scribd logo
1 de 14
Telecom Tutorials
Monday, June 03, 2013www.tempustelcosys.com
Frequency Reuse
Monday, June 03, 2013www.tempustelcosys.com
GSM900
Upward 890 915 MHz
Downward 935 960 MHz
Tx-Rx difference is 45MHz,carrier space is 200KHz。
GSM1800
Upward 1710 1785 MHz
Downward 1805 1880 MHz
Tx-Rx difference is 95MHz,carrier space is 200KHz。
Monday, June 03, 2013www.tempustelcosys.com
GSM900
GSM900: FU(n) = 890 + 0.2 n MHz
FD(n) = Fu(n) + 45 MHz,1 n 124
E-GSM900:FU(n) = 890 + 0.2 (n-1024),974 n 1023
FD(n) = Fu(n) + 45 MHz
n is called Absolutely Radio Frequency Channel Number.
GSM1800
Fu(n) = 1710.2 + 0.2 (n-512) MHz
FD(n) = Fl(n) + 95 MHz, 512 n 885
374 channels
Monday, June 03, 2013www.tempustelcosys.com
Frequency reuse is referred to as the same frequency is reused after
a certain distance in cellular wireless system. Generally, a limited
frequency band is divided into many groups, each containing a few
carriers, which are in turn assigned to adjacent cells
Usually, frequency reuse patterns include:
Ordinary frequency reuse: “4 3”, “3 3” and more close “2 3”
and “1 3”.
Dual frequency reuse: BCCH and TCH adopt different frequency
reuse patterns respectively.
Concentric: the Underlay and Overlay adopt different frequency
reuse patterns respectively.
MRP: different layers adopt different reuse patterns.
Monday, June 03, 2013www.tempustelcosys.com
“4 3” frequency reuse pattern is that each site is divided into 3
sector. 12 frequencies form a group which are distributed to 4
different sites. Each site owns 3 frequencies.
Monday, June 03, 2013www.tempustelcosys.com
A3
D2B1
C3
B2D1
D3
A2C1
B3
C2A1
B3
C2A1
A3
A1B1
D1
D3D2
C3
B2A1
C3D2
C3
C1
D2B1C2A1
A2C1
D3
Monday, June 03, 2013www.tempustelcosys.com
A3
C2B1
B3
A2C1
C3
B2A1
A3
C2B1
B3
A2C1
B3
A1C1
A1
A3A2
C3
B2A1
A3A3
C3
C1
B2A1B2A1
A2C1
B3
“3 3” frequency reuse pattern is that each site is divided into 3 sector. 9 frequencies
form a group which are distributed to 3 different sites. Each site owns 3 frequencies.
Monday, June 03, 2013www.tempustelcosys.com
A1 B1 C1 A2 B2 C2 A3 B3 C3
1 1 2 3 4 5 6 7 8 9
2 10 11 12 13 14 15 16 17 18
3 19 20 21 22 23 24 25 26 27
 The following equation is used to estimate frequency reuse
distance:
D —— frequency reuse distance
R —— cell radius
N —— frequency reuse factor.
N=9 for “3 3”; N=12 for “4 3”
 For “3/9” frequency reuse, D=5.2R
 For “4/12” frequency reuse, D=6R
Monday, June 03, 2013www.tempustelcosys.com
• Co-channel Interference C/I:
 C/I refers to the interference of another cell
using the same frequency to the current cell. The
ratio of carrier to interference is called C/I.
 GSM specification regulates that C/I >9dB. In
implementing, it requires C/I>12dB.
• Adjacent channel interference C/A
 C/A refers to interference of adjacent cell to
the current cell. The ratio is called C/A. The GSM
specification regulates that C/A>-9dB.
Monday, June 03, 2013www.tempustelcosys.com
Where, Pown_cell is the signal strength of current cell; Pi_BCCH is
BCCH signal strength of interfering cell i measured by MS.
Monday, June 03, 2013www.tempustelcosys.com
 In GSM, presume a trunk can support 30 TCHs, GOS=2%,then the
total traffic will be 22Erl according to Erlang-B table. The total
subscribers that can be supported will be 733 if the traffic of each
subscriber is 30mErl.
Monday, June 03, 2013www.tempustelcosys.com
TRX TCH ( GOS=2% )
Rtrunk ( % )
1 7 2. 94 37
2 14 8. 20 57
3 22 14 . 90 66
4 30 21 . 93 72
5 37 28 . 25 75
6 45 35 . 61 78
7 53 43 . 06 80
 Analyze total traffic and traffic distribution feature
within the service area
 Calculate system capacity, the traffic that each cell can
provide and subscriber numbers
 Calculate the total numbers of TRX s required
 Determine the total numbers of cells required
 Determine the TRX configuration mode of each cell.
 Adjust the configuration (optimization) in combination
with
cell planning and frequency planning
Monday, June 03, 2013www.tempustelcosys.com
• Analogy of telephone set
 Prediction mode: Y5 = r X5
 where, Y5:predicted subscriber number on 5th year
 X5:total numbers of telephone set on 5th year
 r :percentage of mobile phone to telephone set
• Social survey and city analogy
 Based on social survey, compare with the cities where mobile
network has been established and where the city scale, economy
and customer requirement are similar. Refer to that cities’ subscribers
to predict the potential numbers of mobile subscribers of the city.
Monday, June 03, 2013www.tempustelcosys.com

Mais conteúdo relacionado

Mais procurados

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 Telephone Systems
Cellular Telephone SystemsCellular Telephone Systems
Cellular Telephone SystemsShantanu Krishna
 
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 systemsTarek Nader
 
Cellular concepts
Cellular conceptsCellular concepts
Cellular conceptsPriya Hada
 
Evolution of mobile radio communication
Evolution of mobile radio communicationEvolution of mobile radio communication
Evolution of mobile radio communicationjadhavmanoj01
 
2.5 capacity calculations of fdma, tdma and cdma
2.5   capacity calculations of fdma, tdma and cdma2.5   capacity calculations of fdma, tdma and cdma
2.5 capacity calculations of fdma, tdma and cdmaJAIGANESH SEKAR
 
Combating fading channels (1) (3)
Combating fading channels (1) (3)Combating fading channels (1) (3)
Combating fading channels (1) (3)liril sharma
 
Handoff in Mobile Communication
Handoff in Mobile CommunicationHandoff in Mobile Communication
Handoff in Mobile CommunicationNoushad Hasan
 
Ssb generation method
Ssb generation methodSsb generation method
Ssb generation methodjahirpatel
 
Chap 5 (small scale fading)
Chap 5 (small scale fading)Chap 5 (small scale fading)
Chap 5 (small scale fading)asadkhan1327
 
7. log distance and log normal shadowing
7. log distance and log normal shadowing7. log distance and log normal shadowing
7. log distance and log normal shadowingJAIGANESH SEKAR
 

Mais procurados (20)

Earlang ejercicios
Earlang ejerciciosEarlang ejercicios
Earlang ejercicios
 
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
 
Cellular Telephone Systems
Cellular Telephone SystemsCellular Telephone Systems
Cellular Telephone Systems
 
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
 
Cellular concepts
Cellular conceptsCellular concepts
Cellular concepts
 
Evolution of mobile radio communication
Evolution of mobile radio communicationEvolution of mobile radio communication
Evolution of mobile radio communication
 
Frequency reuse
Frequency reuseFrequency reuse
Frequency reuse
 
CELLULAR MOBILE RADIO SYSTEMS
CELLULAR MOBILE RADIO SYSTEMSCELLULAR MOBILE RADIO SYSTEMS
CELLULAR MOBILE RADIO SYSTEMS
 
2.5 capacity calculations of fdma, tdma and cdma
2.5   capacity calculations of fdma, tdma and cdma2.5   capacity calculations of fdma, tdma and cdma
2.5 capacity calculations of fdma, tdma and cdma
 
Combating fading channels (1) (3)
Combating fading channels (1) (3)Combating fading channels (1) (3)
Combating fading channels (1) (3)
 
Fading Seminar
Fading SeminarFading Seminar
Fading Seminar
 
Handoff in Mobile Communication
Handoff in Mobile CommunicationHandoff in Mobile Communication
Handoff in Mobile Communication
 
cellular ppt
cellular pptcellular ppt
cellular ppt
 
Ssb generation method
Ssb generation methodSsb generation method
Ssb generation method
 
Chap 5 (small scale fading)
Chap 5 (small scale fading)Chap 5 (small scale fading)
Chap 5 (small scale fading)
 
Gsm
GsmGsm
Gsm
 
7. log distance and log normal shadowing
7. log distance and log normal shadowing7. log distance and log normal shadowing
7. log distance and log normal shadowing
 
GSM Technology
GSM TechnologyGSM Technology
GSM Technology
 
Propagation Model
Propagation ModelPropagation Model
Propagation Model
 
Outdoor indoor Propagation
Outdoor indoor PropagationOutdoor indoor Propagation
Outdoor indoor Propagation
 

Semelhante a Frequency Reuse

Frequency Hopping Network
Frequency Hopping NetworkFrequency Hopping Network
Frequency Hopping NetworkTempus Telcosys
 
GSM Cell planning and frequency reuse
GSM Cell planning and frequency reuseGSM Cell planning and frequency reuse
GSM Cell planning and frequency reuseShashank Asthana
 
Lec 2 Cell Planning Principles lecture notes
Lec 2 Cell Planning Principles lecture notesLec 2 Cell Planning Principles lecture notes
Lec 2 Cell Planning Principles lecture notesDrAdeelAkram2
 
Computationally Efficient Multi-Antenna Techniques for Multi-User Two-Way Wire...
Computationally Efficient Multi-Antenna Techniques for Multi-User Two-Way Wire...Computationally Efficient Multi-Antenna Techniques for Multi-User Two-Way Wire...
Computationally Efficient Multi-Antenna Techniques for Multi-User Two-Way Wire...IJECEIAES
 
Design a mobile telephone system in a certain city
Design a mobile telephone system in a certain cityDesign a mobile telephone system in a certain city
Design a mobile telephone system in a certain cityeSAT Journals
 
wireless communication
wireless communicationwireless communication
wireless communicationSantosh Kumar
 
Cellular architecture
Cellular architectureCellular architecture
Cellular architectureRKGhosh3
 
V.KARTHIKEYAN PUBLISHED ARTICLE AAA
V.KARTHIKEYAN PUBLISHED ARTICLE AAAV.KARTHIKEYAN PUBLISHED ARTICLE AAA
V.KARTHIKEYAN PUBLISHED ARTICLE AAAKARTHIKEYAN V
 
V.karthikeyan published article1
V.karthikeyan published article1V.karthikeyan published article1
V.karthikeyan published article1KARTHIKEYAN V
 
lec.2 Multiple Access.pptx
lec.2 Multiple Access.pptxlec.2 Multiple Access.pptx
lec.2 Multiple Access.pptxMuhammed A
 
lec.2 Multiple Access.pptx
lec.2 Multiple Access.pptxlec.2 Multiple Access.pptx
lec.2 Multiple Access.pptxMuhammed A
 
Proposed Model for Interference Estimation in Code Division Multiple Access
Proposed Model for Interference Estimation in Code Division Multiple AccessProposed Model for Interference Estimation in Code Division Multiple Access
Proposed Model for Interference Estimation in Code Division Multiple AccessTELKOMNIKA JOURNAL
 
Performance Analysis of CIR and Path Loss Propagation Models in the Downlink ...
Performance Analysis of CIR and Path Loss Propagation Models in the Downlink ...Performance Analysis of CIR and Path Loss Propagation Models in the Downlink ...
Performance Analysis of CIR and Path Loss Propagation Models in the Downlink ...ijtsrd
 
Gsm Cell Planning And Optimization
Gsm Cell Planning And OptimizationGsm Cell Planning And Optimization
Gsm Cell Planning And OptimizationYasir Azmat
 
Third Generation Wireless Modeling in Urban Environment
Third Generation Wireless Modeling in Urban EnvironmentThird Generation Wireless Modeling in Urban Environment
Third Generation Wireless Modeling in Urban EnvironmentEECJOURNAL
 

Semelhante a Frequency Reuse (20)

Frequency Hopping Network
Frequency Hopping NetworkFrequency Hopping Network
Frequency Hopping Network
 
GSM Cell planning and frequency reuse
GSM Cell planning and frequency reuseGSM Cell planning and frequency reuse
GSM Cell planning and frequency reuse
 
GSM , RF & DT
GSM , RF & DTGSM , RF & DT
GSM , RF & DT
 
Lec 2 Cell Planning Principles lecture notes
Lec 2 Cell Planning Principles lecture notesLec 2 Cell Planning Principles lecture notes
Lec 2 Cell Planning Principles lecture notes
 
J010436069
J010436069J010436069
J010436069
 
Computationally Efficient Multi-Antenna Techniques for Multi-User Two-Way Wire...
Computationally Efficient Multi-Antenna Techniques for Multi-User Two-Way Wire...Computationally Efficient Multi-Antenna Techniques for Multi-User Two-Way Wire...
Computationally Efficient Multi-Antenna Techniques for Multi-User Two-Way Wire...
 
Design a mobile telephone system in a certain city
Design a mobile telephone system in a certain cityDesign a mobile telephone system in a certain city
Design a mobile telephone system in a certain city
 
wireless communication
wireless communicationwireless communication
wireless communication
 
03 Wireless Concept
03 Wireless Concept03 Wireless Concept
03 Wireless Concept
 
Cellular architecture
Cellular architectureCellular architecture
Cellular architecture
 
Ece mimo ppt
Ece mimo pptEce mimo ppt
Ece mimo ppt
 
V.KARTHIKEYAN PUBLISHED ARTICLE AAA
V.KARTHIKEYAN PUBLISHED ARTICLE AAAV.KARTHIKEYAN PUBLISHED ARTICLE AAA
V.KARTHIKEYAN PUBLISHED ARTICLE AAA
 
V.karthikeyan published article1
V.karthikeyan published article1V.karthikeyan published article1
V.karthikeyan published article1
 
lec.2 Multiple Access.pptx
lec.2 Multiple Access.pptxlec.2 Multiple Access.pptx
lec.2 Multiple Access.pptx
 
lec.2 Multiple Access.pptx
lec.2 Multiple Access.pptxlec.2 Multiple Access.pptx
lec.2 Multiple Access.pptx
 
Proposed Model for Interference Estimation in Code Division Multiple Access
Proposed Model for Interference Estimation in Code Division Multiple AccessProposed Model for Interference Estimation in Code Division Multiple Access
Proposed Model for Interference Estimation in Code Division Multiple Access
 
Performance Analysis of CIR and Path Loss Propagation Models in the Downlink ...
Performance Analysis of CIR and Path Loss Propagation Models in the Downlink ...Performance Analysis of CIR and Path Loss Propagation Models in the Downlink ...
Performance Analysis of CIR and Path Loss Propagation Models in the Downlink ...
 
Gsm Cell Planning And Optimization
Gsm Cell Planning And OptimizationGsm Cell Planning And Optimization
Gsm Cell Planning And Optimization
 
Third Generation Wireless Modeling in Urban Environment
Third Generation Wireless Modeling in Urban EnvironmentThird Generation Wireless Modeling in Urban Environment
Third Generation Wireless Modeling in Urban Environment
 
U0 vqmt qxodk=
U0 vqmt qxodk=U0 vqmt qxodk=
U0 vqmt qxodk=
 

Mais de Tempus Telcosys

Ultrasite technical for 4op
Ultrasite technical for 4opUltrasite technical for 4op
Ultrasite technical for 4opTempus Telcosys
 
Introduction to Genex Assistance
Introduction to  Genex AssistanceIntroduction to  Genex Assistance
Introduction to Genex AssistanceTempus Telcosys
 
Transmission management in BSS
Transmission management in BSSTransmission management in BSS
Transmission management in BSSTempus Telcosys
 
Cdma2000 network problem analysis with mobile station 20030212-a-v1.0
Cdma2000 network problem analysis with mobile station 20030212-a-v1.0Cdma2000 network problem analysis with mobile station 20030212-a-v1.0
Cdma2000 network problem analysis with mobile station 20030212-a-v1.0Tempus Telcosys
 
CDMA1X Pilot Panorama introduction
CDMA1X Pilot Panorama introductionCDMA1X Pilot Panorama introduction
CDMA1X Pilot Panorama introductionTempus Telcosys
 
QCTest™ CDMA Air Interface Tester (CAIT™) 3.1 User’s Guide
QCTest™ CDMA Air Interface Tester (CAIT™)  3.1 User’s GuideQCTest™ CDMA Air Interface Tester (CAIT™)  3.1 User’s Guide
QCTest™ CDMA Air Interface Tester (CAIT™) 3.1 User’s GuideTempus Telcosys
 
C cf introduction to antenna
C cf introduction to antennaC cf introduction to antenna
C cf introduction to antennaTempus Telcosys
 
C cf radio propagation theory and propagation models
C cf radio propagation theory and propagation modelsC cf radio propagation theory and propagation models
C cf radio propagation theory and propagation modelsTempus Telcosys
 
ORG010202 CDMA 1x Handoff Algorithm
ORG010202 CDMA 1x Handoff AlgorithmORG010202 CDMA 1x Handoff Algorithm
ORG010202 CDMA 1x Handoff AlgorithmTempus Telcosys
 

Mais de Tempus Telcosys (20)

Gsm
GsmGsm
Gsm
 
Gsm1
Gsm1Gsm1
Gsm1
 
BASIC GSM
BASIC GSMBASIC GSM
BASIC GSM
 
02 channel concept
02 channel concept02 channel concept
02 channel concept
 
Ultrasite technical for 4op
Ultrasite technical for 4opUltrasite technical for 4op
Ultrasite technical for 4op
 
Introduction to Genex Assistance
Introduction to  Genex AssistanceIntroduction to  Genex Assistance
Introduction to Genex Assistance
 
Ch 04 HANDOVER_gvl
Ch 04 HANDOVER_gvlCh 04 HANDOVER_gvl
Ch 04 HANDOVER_gvl
 
Channelconfih s9
Channelconfih s9Channelconfih s9
Channelconfih s9
 
Transmission management in BSS
Transmission management in BSSTransmission management in BSS
Transmission management in BSS
 
BSS Dimensioning
BSS DimensioningBSS Dimensioning
BSS Dimensioning
 
3g cdma-qualcom
3g cdma-qualcom3g cdma-qualcom
3g cdma-qualcom
 
3g
3g3g
3g
 
Introduction to mapinfo
Introduction to mapinfoIntroduction to mapinfo
Introduction to mapinfo
 
3g
3g3g
3g
 
Cdma2000 network problem analysis with mobile station 20030212-a-v1.0
Cdma2000 network problem analysis with mobile station 20030212-a-v1.0Cdma2000 network problem analysis with mobile station 20030212-a-v1.0
Cdma2000 network problem analysis with mobile station 20030212-a-v1.0
 
CDMA1X Pilot Panorama introduction
CDMA1X Pilot Panorama introductionCDMA1X Pilot Panorama introduction
CDMA1X Pilot Panorama introduction
 
QCTest™ CDMA Air Interface Tester (CAIT™) 3.1 User’s Guide
QCTest™ CDMA Air Interface Tester (CAIT™)  3.1 User’s GuideQCTest™ CDMA Air Interface Tester (CAIT™)  3.1 User’s Guide
QCTest™ CDMA Air Interface Tester (CAIT™) 3.1 User’s Guide
 
C cf introduction to antenna
C cf introduction to antennaC cf introduction to antenna
C cf introduction to antenna
 
C cf radio propagation theory and propagation models
C cf radio propagation theory and propagation modelsC cf radio propagation theory and propagation models
C cf radio propagation theory and propagation models
 
ORG010202 CDMA 1x Handoff Algorithm
ORG010202 CDMA 1x Handoff AlgorithmORG010202 CDMA 1x Handoff Algorithm
ORG010202 CDMA 1x Handoff Algorithm
 

Último

Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processorsdebabhi2
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Drew Madelung
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyKhushali Kathiriya
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsJoaquim Jorge
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationSafe Software
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...Neo4j
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MIND CTI
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FMESafe Software
 
Manulife - Insurer Innovation Award 2024
Manulife - Insurer Innovation Award 2024Manulife - Insurer Innovation Award 2024
Manulife - Insurer Innovation Award 2024The Digital Insurer
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...Martijn de Jong
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherRemote DBA Services
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Scriptwesley chun
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘RTylerCroy
 
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdflior mazor
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAndrey Devyatkin
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodJuan lago vázquez
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...apidays
 

Último (20)

Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Manulife - Insurer Innovation Award 2024
Manulife - Insurer Innovation Award 2024Manulife - Insurer Innovation Award 2024
Manulife - Insurer Innovation Award 2024
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdf
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 

Frequency Reuse

  • 1. Telecom Tutorials Monday, June 03, 2013www.tempustelcosys.com Frequency Reuse
  • 2. Monday, June 03, 2013www.tempustelcosys.com GSM900 Upward 890 915 MHz Downward 935 960 MHz Tx-Rx difference is 45MHz,carrier space is 200KHz。 GSM1800 Upward 1710 1785 MHz Downward 1805 1880 MHz Tx-Rx difference is 95MHz,carrier space is 200KHz。
  • 3. Monday, June 03, 2013www.tempustelcosys.com GSM900 GSM900: FU(n) = 890 + 0.2 n MHz FD(n) = Fu(n) + 45 MHz,1 n 124 E-GSM900:FU(n) = 890 + 0.2 (n-1024),974 n 1023 FD(n) = Fu(n) + 45 MHz n is called Absolutely Radio Frequency Channel Number. GSM1800 Fu(n) = 1710.2 + 0.2 (n-512) MHz FD(n) = Fl(n) + 95 MHz, 512 n 885 374 channels
  • 4. Monday, June 03, 2013www.tempustelcosys.com Frequency reuse is referred to as the same frequency is reused after a certain distance in cellular wireless system. Generally, a limited frequency band is divided into many groups, each containing a few carriers, which are in turn assigned to adjacent cells
  • 5. Usually, frequency reuse patterns include: Ordinary frequency reuse: “4 3”, “3 3” and more close “2 3” and “1 3”. Dual frequency reuse: BCCH and TCH adopt different frequency reuse patterns respectively. Concentric: the Underlay and Overlay adopt different frequency reuse patterns respectively. MRP: different layers adopt different reuse patterns. Monday, June 03, 2013www.tempustelcosys.com
  • 6. “4 3” frequency reuse pattern is that each site is divided into 3 sector. 12 frequencies form a group which are distributed to 4 different sites. Each site owns 3 frequencies. Monday, June 03, 2013www.tempustelcosys.com A3 D2B1 C3 B2D1 D3 A2C1 B3 C2A1 B3 C2A1 A3 A1B1 D1 D3D2 C3 B2A1 C3D2 C3 C1 D2B1C2A1 A2C1 D3
  • 7. Monday, June 03, 2013www.tempustelcosys.com A3 C2B1 B3 A2C1 C3 B2A1 A3 C2B1 B3 A2C1 B3 A1C1 A1 A3A2 C3 B2A1 A3A3 C3 C1 B2A1B2A1 A2C1 B3 “3 3” frequency reuse pattern is that each site is divided into 3 sector. 9 frequencies form a group which are distributed to 3 different sites. Each site owns 3 frequencies.
  • 8. Monday, June 03, 2013www.tempustelcosys.com A1 B1 C1 A2 B2 C2 A3 B3 C3 1 1 2 3 4 5 6 7 8 9 2 10 11 12 13 14 15 16 17 18 3 19 20 21 22 23 24 25 26 27
  • 9.  The following equation is used to estimate frequency reuse distance: D —— frequency reuse distance R —— cell radius N —— frequency reuse factor. N=9 for “3 3”; N=12 for “4 3”  For “3/9” frequency reuse, D=5.2R  For “4/12” frequency reuse, D=6R Monday, June 03, 2013www.tempustelcosys.com
  • 10. • Co-channel Interference C/I:  C/I refers to the interference of another cell using the same frequency to the current cell. The ratio of carrier to interference is called C/I.  GSM specification regulates that C/I >9dB. In implementing, it requires C/I>12dB. • Adjacent channel interference C/A  C/A refers to interference of adjacent cell to the current cell. The ratio is called C/A. The GSM specification regulates that C/A>-9dB. Monday, June 03, 2013www.tempustelcosys.com
  • 11. Where, Pown_cell is the signal strength of current cell; Pi_BCCH is BCCH signal strength of interfering cell i measured by MS. Monday, June 03, 2013www.tempustelcosys.com
  • 12.  In GSM, presume a trunk can support 30 TCHs, GOS=2%,then the total traffic will be 22Erl according to Erlang-B table. The total subscribers that can be supported will be 733 if the traffic of each subscriber is 30mErl. Monday, June 03, 2013www.tempustelcosys.com TRX TCH ( GOS=2% ) Rtrunk ( % ) 1 7 2. 94 37 2 14 8. 20 57 3 22 14 . 90 66 4 30 21 . 93 72 5 37 28 . 25 75 6 45 35 . 61 78 7 53 43 . 06 80
  • 13.  Analyze total traffic and traffic distribution feature within the service area  Calculate system capacity, the traffic that each cell can provide and subscriber numbers  Calculate the total numbers of TRX s required  Determine the total numbers of cells required  Determine the TRX configuration mode of each cell.  Adjust the configuration (optimization) in combination with cell planning and frequency planning Monday, June 03, 2013www.tempustelcosys.com
  • 14. • Analogy of telephone set  Prediction mode: Y5 = r X5  where, Y5:predicted subscriber number on 5th year  X5:total numbers of telephone set on 5th year  r :percentage of mobile phone to telephone set • Social survey and city analogy  Based on social survey, compare with the cities where mobile network has been established and where the city scale, economy and customer requirement are similar. Refer to that cities’ subscribers to predict the potential numbers of mobile subscribers of the city. Monday, June 03, 2013www.tempustelcosys.com