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LTE Radio Planning and Optimisation

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Page 1: LTE Planning and ion

LTE Radio Planning and Optimisation

Page 2: LTE Planning and ion

Contents

� LTE Radio Planning Basics

� LTE Link Budgets

� LTE Capacity Planning

� Optimisation Introduction

� Self Organising Network Concepts

1

Page 3: LTE Planning and ion

Radio Planning Basics

Page 4: LTE Planning and ion

High Level Design Life Cycle

1

3

How many eNBs tosatisfy objectives?• Capacity• Coverage

How many sitesavailable?

Objectives satisfiedwith available sites?

Pre-Build OptimisationEnsure CAPEX Efficiencyand optimal performance

Page 5: LTE Planning and ion

Information Required – Phase 1

Generally Known Data

� Frequency Band

� Amount of Allocated Spectrum

� Channel Bandwidth

� Equipment Performance

Market Research Data

8

4

Market Research Data

� Service Area

� Population Density

� Population Demographic

� Population Penetration

� Expected level of service

Page 6: LTE Planning and ion

LTE Link Budgets

Page 7: LTE Planning and ion

Link Budget :– System Gain

TxPA

LF+C

GAnt

GDiv

EiRP

GAnt

Sys Gain

6

UEIRLmin

LF+C

GAnt

Rxth

Sys GainUL = (TXPAUE + GAntUE) – (RxTHeNB + LeNB – GANTeNB – GDiv)

Sys GainDL = (TXPAeNB – LeNB + GAnteNB + GDiv) – (RxTHUE – GANTUE – GDiv)

Page 8: LTE Planning and ion

Link Budget : – MAPL, Spending the Budget

2

Sys G

ain MAPL Distance

7

Sys G

ain

Fade Margin 8 – 12 dB

Building Margin 5 – 30dB

Body Margin 0 – 3 dB

Page 9: LTE Planning and ion

Using MAPL to Find Distance

Propagation

MAPL

FrequencyHeight

Antenna

Height

Clutter Terrain

8

PropagationModel

Clutter Terrain

Distance

Page 10: LTE Planning and ion

Performance KPIs

Noise and Interference

Signal Strength

64QAM 16QAM QPSK

9

64QAM 16QAM QPSK

• Cell Edge Throughput• RSRQ• RSRP• RSSI• SNR• Area Availability• Cell Edge Availability

Page 11: LTE Planning and ion

Defining RSRP, RSSI and RSRQ

14

LTE Resource BlockRs

10

Rs

Rs

Rs

Page 12: LTE Planning and ion

UE Radio Measurements

13

11

Page 13: LTE Planning and ion

RSRP and RSRQ Targets

15

12

Page 14: LTE Planning and ion

LTE Capacity Planning

Page 15: LTE Planning and ion

Capacity in LTE

� LTE supports Adaptive Modulation and Coding

� Actual Capacity will depend on users location in the cell

� SINR is the most important planning KPI

� Average cell throughput will lower than quoted

maximums

14

5

Page 16: LTE Planning and ion

The Capacity Planning Problem

100+ Mbps!Assumes good radio signal in

every part of the radio cell

15

QPSK16QAM64QAM

Page 17: LTE Planning and ion

User Distribution in the Cell

� User Distribution will impact average cell throughput

� The resource scheduler in the eNB is very important

� Scheduling may be different between vendors

16

QPSK16QAM64QAM

~10% of Area

~15% of Area

~75% of Area

Page 18: LTE Planning and ion

Average Cell Throughput

Mbps

Lower Average

Due to resource sharing

Between many users

Higher Peak Loads

due to less active users

17

Average Busy Hour

Throughput

Average Non-Busy Hour

Throughput

time

Page 19: LTE Planning and ion

Capacity Modelling

� Try to Determine what data the typical user will consume

18

Page 20: LTE Planning and ion

Capacity Modelling cont.

� Extrapolate consumption between subscriber population

� Make assumptions about “busy period” to obtain Data

Density

19

Page 21: LTE Planning and ion

Capacity Modelling cont.

� Use Link Budget and Sector Throughput to determine

number of radio cells

20

Page 22: LTE Planning and ion

Optimisation Introduction

Page 23: LTE Planning and ion

Optimisation Context

1

22

Page 24: LTE Planning and ion

Optimisation Targets

� Cell Edge Throughput 5-10Mbps

� RSRQ -7dB

� RSRP -75dB

� SNR >13dB

� Area Availability 90%

� Cell Edge Availability 75%

23

� Cell Edge Availability 75%

� RF Optimisation Options

– Antenna Orientations, Tilt, Azimuth

– Transmit Power

– Antenna Height

– eNB Location

Page 25: LTE Planning and ion

Mobility Optimisation� Initial Cell Selection

UE

Qrxlevmeas

Low QrxlevminQminoffset

24

High QrxlevminQminoffset

Srxlev = Qrxlevmeas – (Qrxlevmin+ Qrxlevminoffset) - Pcompensation

Page 26: LTE Planning and ion

Cell Reselection

Sintrasearch

Snonntrasearch

No

Se

arc

hLT

E S

ea

rch

25

IRA

T S

ea

rch

Rs = Qmeas_s +QhystRn = Qmeas_n + Qoffset

Rn > Rs > Treselection

Page 27: LTE Planning and ion

Other Mobility Considerations� IRAT Cell Reselection Decisions

UE

LTE

UMTS

26

GERAN

• Measurement Thresholds

• Cell Priority

• Mobility Offset/Hyst

• Mobility Status (speed)

• Cell Ranking

Page 28: LTE Planning and ion

Other Mobility Considerations :- Handovers� LTE and IRAT Handovers

UE

LTE

UMTS

• Measurement/

Reporting

Thresholds

• Cell Priority

• Mobility

Offset/Hyst

• Mobility Status

27

GERAN

(speed)

• Cell Ranking

• eNB makes H/O

Decision

• H/O Algorithm

Vendor/ Operator

Controlled

Page 29: LTE Planning and ion

Self Organising Network Concepts

Page 30: LTE Planning and ion

Optimisation for Future Deployments

� Self Organising/Optimising Networks

29

Page 31: LTE Planning and ion

SON Release 8

� Automatic Inventory

� Automatic Software Download

Focus is on initial equipment installation and integration

eNB Self Configuration

30

� Automatic Neighbour Relation

� Automatic Physical Cell ID assignment

Page 32: LTE Planning and ion

SON Release 9

� Mobility Robustness/Handover optimization

� RACH optimization

Provides SON functionality covering operational aspects

of already commercial networks, in particular key aspects

related to network optimization procedures.

31

� RACH optimization

� Load Balancing optimization

� Inter-Cell Interference Coordination

Page 33: LTE Planning and ion

SON Release 10

� Coverage & Capacity optimization

� Enhanced Inter-Cell Interference Coordination

Cell Outage Detection and Compensation

Provides a richer suite of SON functions for macro and

metro networks overlaid on and interoperating with existing

mobile networks.

32

� Cell Outage Detection and Compensation

� Self-healing functions

� Minimization of Drive Testing

� Energy Savings

Page 34: LTE Planning and ion

SON Architecture

� Centralised SON� A centralized architecture approach can be used for deploying real-time

SON functions, such as Automatic Neighbor Relations and Automatic

Physical Cell ID.

� The OAM must also handle large amounts of data in order to make the

localized SON decisions across the network

� Multi-Vendor support may be difficult

33

EPC

eUTRAN

eUTRAN

eUTRAN

OAM

SON

Page 35: LTE Planning and ion

SON Architecture

� Distributed SON� The distributed architecture leverages smart, autonomous network elements

with local SON decision making

� This reduces the complexity, footprint and availability requirements of the

OAM

� X2 requirements are more complex

� Easier in a multi-vendor system

SONSON

34

EPC

eUTRAN

eUTRAN

eUTRAN

OAM

SONSON

SONSON

SONSON

Page 36: LTE Planning and ion

SON Architecture

� Hybrid SON� More complex solution

� OAM can make long term optimisation decisions and eNB can deal with the

real time optimisation of load and interference

� Should be possible to build effective systems in a multi-vendor system

SONSON

35

EPC

eUTRAN

eUTRAN

eUTRAN

OAM

SONSON

SONSON

SONSON

SON

Page 37: LTE Planning and ion

LTE Training:- Telecoms Academy

� Visit Helen Robinson on Stand 23

� LTE Technical and non-Technical Overviews

� LTE Radio Planning and Optimisation

� LTE Core Network Planning and Dimensioning

� eUTRAN Protocols and Signaling

36

� eUTRAN Protocols and Signaling

� LTE and IMS

� miniMBA with LTE Focus

� Distance Learning Course with LTE focus

Page 38: LTE Planning and ion

Telecoms Academy

37

[email protected]:// www.telecomsacademy.comhttp://www.schooloflte.com/