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Telecom knowledge and experience sharing: UMTS Capacity Estimation
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UMTS Capacity Estimation
Content:
UMTS Service mode
Common Capacity Design Methods
Uplink Capacity Estimation
Downlink Capacity Estimation
Estimation Examples
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Every session can contain several packet calls, different data services and different user types have different
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Telecom knowledge and experience sharing: UMTS Capacity Estimation
01 Installation Overview01 I
02 Installing the Optical Mod
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Preparing Cables
03 Assembling Mounting Kit
Scenario03 Assembling Mo
Scenario
PS Service Model - Example
03 Assembling Mounting Kit
Assembling Mounting Kits U
04 Lifting the AAU Downtilt S
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User Group Classification
Classification principle
Based on user consumption capability and consumption behavior
Note: User groups are distinguished by service type, service rate, service quality and service intensity.
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Service Penetration
Percentage of user distribution in different application environments are different
Percentage of high-end, middle-end and lower-end users in different application environments are different
Service model statistic characteristic relates to percentages mentioned above
Traffic Analysis for Single Subscriber
CS Domain
Mean busy hour Erl. Per user=mean busy hour calls*mean call duration/3600
Traffic Analysis for Single Subscriber
PS Domain
Node: penetration rate means the percentage of UEs which support this service in total UEs.
Busy hour throughput per user = BHSA* mean calls in a session *mean packets in a call*mean packet
size*8/1000
Equivalent Erl = Busy hour throughput per user / (Bearer rate *3600)
Traffic Analysis for Single Subscriber
The average traffic according to the Service Model in each transmission environment is :
Average traffic for each subscriber = ∑ Ratio of subscriber group* Service penetration * average traffic of this
group
Common Capacity Design Methods
UMTS Network Dimensioning Procedure
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Capacity Estimation Procedure
Hybrid service intensity analysis
The UMTS system provides multiple services and the hybrid service intensity analysis makes the
system capacity consumed by various services equivalent to that consumed by a single service.
Uplink capacity estimation
Estimate the NodeB number that meets the service demand based on the hybrid service intensity
analysis.
Downlink capacity estimation
It is a verification process. The NodeB transmission power formula is used to calculate the channel
number that can be provided by the current NodeB scale so as to verify whether this channel
number can meet the capacity requirement, and if it cannot, stations need be added.
Common Capacity Design Methods
Equivalent Erlangs method
Post Erlang-B method
Campbell method
Equivalent Erlangs Method
Principle: Make a service equivalent to another service and calculate the total Erl.
Example
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Service A: 1 channel for each connection and the total is 12 erl.
Service B: 3 channels for each connection and the total is 6 erl.
If 1 erl service B = 3 erl service A, altogether 30 erl service A shall be equivalent and 39 channels
shall be required (under 2% blocking rate).
If 3 erl service A = 1 erl service B, altogether 10 erl service B shall be equivalent and 17 service B
channels shall be required (equal 17*3=51 service A channels under 2% blocking rate).
Equivalent Erlangs Method
Post Erlang-B Method
Principle: Calculate the capacity required by each service respectively and add them.
Example
Service A: 1 channel for each connection and the total is 12 erl.
Service B: 3 channels for each connection and the total is 6 erl.
Service A requires 19 channels (under 2% blocking rate).
Service B requires 12 service B channels (equal 12*3=36 service A channels, under 2% blocking
rate).
These two services require 19+36=55 channels
Post Erlang-B Method
Suppose services A and B are the same kind, where,
Service A: 1 channel for each connection and the total is 12 erl.
Service B: 1 channel for each connection and the total is 6 erl.
Based on the Post Erlang-B method
Service A requires 19 channels (under 2% blocking rate).
Service B requires 12 channels (under 2% blocking rate).
Altogether 19+12=31 channels are required.
Based on traditional Erlang-B method
The total traffic of services A and B is 12+6=18 erl and altogether 26 channels are required under 2% blocking
rate.
Required channel number estimated through the Post Erlang-B method is too large.
Post Erlang-B Method
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Campbell Method
Principle: Make multiple services equivalent to a virtual service and calculate the capacity on the basis of the
virtual service.
Campbell Method
Example
Service A: 1 channel for each connection and the total is 12 erl.
Service B: 3 channels for each connection and the total is 6 erl
Mean & variance
Capacity factor c
Virtual traffic
21 channels (virtual channels) are required to meet the virtual traffic under 2% blocking rate.
Under 2% blocking rate, channel number required by each service is shown as follows:
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Different channel numbers are required to meet the GOS requirements of diversified services.
Compared with the former two methods, the calculation result through the Campbell method is more
reasonable.
If the reference service is the voice service：
Uplink Capacity Estimation
Uplink Load Analysis
Eb/No the receive signal in the NodeB must reach Eb/No required by the service demodulation.
Uplink Load Analysis
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Uplink Capacity Estimation
In the case of a single service, evaluate the channel quantity provided by every cell according to the load
formula and further evaluate the total number of base stations satisfying the uplink capacity requirement.
To budget composite traffic, based on the Campbell algorithm, make different services consumption on the
system resource equivalent to the single service consumption on the system resource, and then evaluate the
quantity of channels to be provided by every cell according to load formula, and further evaluate the number
of base stations satisfying the composite traffic requirement.
R99/HSUPA mixed calculation
During the uplink capacity calculation ,decide how much uplink load will be designed in R99 and HSUPA
By simulation, calculate how much PS throughput can be carried by HSUPA
Calculate how much of the remaining PS service to be carried by R99
R99 Uplink Capacity Algorithm
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Downlink Capacity Estimation
Downlink Load Analysis
To correctly demodulate useful signals, the UE must overcome interference from the following three aspects
By referring to the derivation means of uplink load factor, denote the downlink load factors as follows:
Total downlink power allocation
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The downlink capacity is limited by transmission power of the base station
Downlink Load and Scale Analysis
Estimate downlink capacity after analyzing the channel quantity required by uplink capacity, and observe
whether the downlink can support the mobile station to work in the designated coverage area and its channel
quantity reaches the channel quantity generated by the uplink
Calculate the quantity of equivalent voice channels to be provided by every cell
Calculate the quantity of equivalent voice channels availably provided by every cell
Compare the above two results
Estimation Examples
Assumed Conditions
Channel environment: downtown area TU 3 km/h
System design load: 50%
Voice service blocking rate: 2%
Interference factor from the adjacent cell: 0.65
Area of the city zone: 40.8 square kilometers
Estimation Flow Chart
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Uplink Coverage Estimation
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Downlink Capacity Estimation
Integrate uplink and downlink coverage budget and uplink capacity budget to determine that there are 84
base stations currently and authenticate whether downlink power meets the requirement.
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