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1.02修订,修订备注页页眉 1.03,郭宁: capacity的胶片p33应该先是SINR Probability Distribution 然后是Simulation Result 另外存在多处RLP,是否应该改为RLC 42页,是service model 43页,是traffic model 另外,建议在练习中加入peak to average ratio的表。这样更完整。 胶片中提到的penetration ratepenetration ratio用哪个更好?建议改成一个。。。 1.04,孙檀 P9,注释中有个TRX,不知所云,建议改成traffic 1.10,梁杰 修改更新 LTE Radio Network Capacity Dimensioning Confidential Information of Huawei. No Spreading Without Permission

LTE Radio Network Capacity Dimensioning ISSUE 1.10

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Page 1: LTE Radio Network Capacity Dimensioning ISSUE 1.10

1.02修订,修订备注页页眉

1.03,郭宁:

capacity的胶片p33应该先是SINR Probability Distribution

然后是Simulation Result

另外存在多处RLP,是否应该改为RLC?

42页,是service model

43页,是traffic model

另外,建议在练习中加入peak to average ratio的表。这样更完整。

胶片中提到的penetration rate和penetration ratio用哪个更好?建议改成一个。。。

1.04,孙檀

P9,注释中有个TRX,不知所云,建议改成traffic

1.10,梁杰

修改更新

LTE Radio Network Capacity Dimensioning

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Page 2: LTE Radio Network Capacity Dimensioning ISSUE 1.10

LTE Radio Network Capacity Dimensioning

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LTE Radio Network Capacity Dimensioning

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Basically LTE capacity dimensioning includes two parts which are capacity dimensioning for

single site and total network throughput calculation.

Capacity dimensioning for single site is performed based on some dimensioning

parameters such as duplex mode, system bandwidth and etc.

Total traffic volume calculation is performed based on service model and traffic

model. Firstly the single user throughput is calculated. Then the total network

throughput is output.

The Number of eNodeB by capacity is the result that the total traffic volume is divided by

the single site capacity.

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By simulation SINR can be mapped to MCS. A certain MCS corresponds to a certain

throughput. So finally cell average throughput can be obtained by SINR distribution.

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Based on service model and traffic model, the single user network throughput can be

calculated. Then the total network throughput can be obtained by multiplexing the

number of subscribers with the single user throughput.

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Service model describe the service pattern which includes some typical parameters for

different service types.

Parameters in service model:

Session Time : the duration of each PPP session

Session Duty Ratio: the data transmission ratio of each PPP session

BLER: Block Error Rate

Bearer Rate : the service application layer(IP) bearer rate

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Traffic model describes the UE behaviors.

Parameters in traffic model:

Penetration Ratio: proportion of service type

BHSA: busy hour session attempts for single user

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Single User Throughput can be calculated based on traffic model and service model.

Basically it is the sum of throughput of different service types for one subscriber.

For PS service some margin should be reserved for burst traffic. So the parameter Peak to

Average Ratio is used in the formula.

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The result is based on the example of traffic model.

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The throughput in IP layer and MAC layer are different. For the same traffic data flow the

throughput in MAC is greater than that in IP layer because PDCP header/RLC header/MAC

header are added. The relative efficiency is related to the packet size. In the table a packet

size with 300 bytes is used as example.

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U-NET can simulate the throughput of the MAC layer and the application layer and the

throughput of each service on the basis of sites and cells.

U-NET can also simulate the following counters:

Actual transmit power

Uplink IoT

Actual uplink load

Number of uplink RBs in use

Number of downlink RBs in use

Uplink/downlink service rate of the MAC layer

Uplink/downlink service rate of the application layer

Number of subscribers in each state

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CDF: Cumulative Distribution Function

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PDF: Probability Distribution Function

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U-NET can simulate the throughput change.

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U-NET can simulate the different UE states such as No Access, Offline, Uplink No Cover,

Downlink No Cover and etc.

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LTE Radio Network Capacity Dimensioning

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