Smart Antennas and Radio Network Planning - 3G and … · Smart Antennas and Radio Network Planning...
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INSTITUT FÜR NACHRICHTENTECHNIK UND HOCHFREQUENZTECHNIK Smart Antennas and Radio Network Planning - 3G and Beyond Thomas Neubauer 1,2 and Ernst Bonek 2,3 1 SYMENA, Software and Consulting GmbH, Vienna, Austria 2 Vienna University of Technology 3 Telecommunications Research Center Vienna, Austria [email protected]
Transcript of Smart Antennas and Radio Network Planning - 3G and … · Smart Antennas and Radio Network Planning...
INSTITUT FÜRNACHRICHTENTECHNIK UNDHOCHFREQUENZTECHNIK
Smart Antennas and Radio Network Planning -3G and Beyond
Thomas Neubauer1,2 and Ernst Bonek2,3
1 SYMENA, Software and Consulting GmbH, Vienna, Austria2 Vienna University of Technology
3 Telecommunications Research Center Vienna, Austria [email protected]
Slide 2ISART 2002
Boulder, 5. March [email protected]
Outline
• Motivation– Investor´s Perspective– Time Perspective– Implementation
• Smart Antenna Planning Targets• Challenges• Planning Example - Results• Considerations beyond 3G
Slide 3ISART 2002
Boulder, 5. March [email protected]
Investor´s Perspective
Vodafone14%
Hutchison12%
NTT DoCoMo
11%
Deutsche Telekom
9%
MobilCom9%Telefonica
7%
British Telecom
6%
Others32%
License price per pop. in $US (Oct. 01)
594,2
0
174,2
015
8,90
86,00
60,80
42,60
35,10
30,30
20,50
16,50
15,70
11,20
5,70
4,90
3,50
0,00
0,00
566,7
0
UKGerm
any
Italy
Hollan
dAus
tria
South
KoreaSing
apore
Belgium
Austra
liaNor
waySwitz
erlan
dNew
Zealan
dSpa
inSwed
enGree
cePor
tugal
Finlan
dJa
pan
Oct 2001
Slide 4ISART 2002
Boulder, 5. March [email protected]
Investor´s Perspective
• Expensive licenses
• Accrued interest
• Investment in infrastructure
• Many additional sites for thefuture mobile-data market
Smart Antenna Radio NetworkPlanning optimizes capital investment
Slide 5ISART 2002
Boulder, 5. March [email protected]
Time Perspective
• Radio Network roll-out- How to acquire new sites?
- How to fulfill license conditions (coverage)?
• Rapid adaptation to the customers need- Adapt to future market growth
- Adapt to new services and applications
Smart Antenna Radio NetworkPlanning reduces time-to-market
Slide 6ISART 2002
Boulder, 5. March [email protected]
Implementation• 2G – 3G – Smart Antennas
- What can be re-used?
- How to model the radio channel?
• Multi-Service UMTS
- How does the max. capacitydepend on the service mix?
• Where to use Smart Antennas?
- optimized number of smart antennas
Smart Antenna Radio Network Planningis the first step towards optimization
Slide 7ISART 2002
Boulder, 5. March [email protected]
Outline
• Introduction• Smart Antenna Planning Targets
– 3G Radio Network Planning Trade-off– Smart Antenna Planning Targets
• Challenges• Planning Example - Results• Considerations beyond 3G
Slide 8ISART 2002
Boulder, 5. March [email protected]
3G Radio Network Planning Trade-off
Capacity
Coverage
Cost
QoS
A multi-dimensional, interdependentoptimization problem
• Capacity
• Coverage
• Quality of Service (QoS)
• Cost
Slide 9ISART 2002
Boulder, 5. March [email protected]
Effects of Smart Antennas on UMTS Coverage and Capacity
DOWNLINK
Cov
erag
e
UL Coveragelimited
DL Capacitylimited
ServiceCoverage
improvement
DOWNLINK
UPLINKUPLINK
DOWNLINK
Capacityimprovement
ServiceCoverage
improvement
System Throughput [bit/s/cell]
Slide 10ISART 2002
Boulder, 5. March [email protected]
Effects of Smart Antenna Radio Network Planning
NOspecificnetworkplanning
Smart Antenna
Technology
Smart Antenna
Technology
Gain = 1
ConventionalTechnology
ConventionalTechnology
Efficient Radio Network Planning
Efficient Radio Network Planning
WITHRadio
NetworkPlanning
Gai
n
Slide 11ISART 2002
Boulder, 5. March [email protected]
Outline
• Introduction• Smart Antenna Planning Targets• Challenges
– Channel Models– Interference – Space-Time Receivers
• Planning Example - Results• Considerations beyond 3G
Slide 12ISART 2002
Boulder, 5. March [email protected]
Conventional Channel Models
Terrain data-base⇒ pathloss
⇒ mean delay
⇒ delay spread
Angular domain?
Conventional models are not sufficient forSmart Antenna implementations
Slide 13ISART 2002
Boulder, 5. March [email protected]
Spatio-Temporal Channel Models
⇒ pathloss
⇒ mean delay
⇒ delay spread
⇒ mean DoA
⇒ angular spread
Spatio-Temporal models are necessary forSmart Antenna implementations
Slide 14ISART 2002
Boulder, 5. March [email protected]
3GPP - COST 259 Extended Channel Model
Cell Types-Macrocell-Microcell-Picocell
.....
Radio Environment-General Typical Urban
-General Rural Area-General Hilly Terrain
.....
Propagation Scenarios-local parameters #1-local parameters #2
.....
Cell Types-Macrocell-Microcell-Picocell
.....
Radio Environment-General Typical Urban
-General Rural Area-General Hilly Terrain
.....
Propagation Scenarios-local parameters #1-local parameters #2
.....
Spatio-Temporalchannel characterization
Pow
e r[d
B]
Delay
Delay Power SpectrumDPS
Azimuth Power SpectrumAPS
φ0 Azimuth
Pow
er[d
B]
Slide 15ISART 2002
Boulder, 5. March [email protected]
Interference Considerations
UMTS is an interference limited system!
Slide 16ISART 2002
Boulder, 5. March [email protected]
Interference in UMTS
Total received power (UL)
SIGNAL
INTRA-cellInterference
INTER-cellInterference
Slide 17ISART 2002
Boulder, 5. March [email protected]
Smart Antenna Interference Situation - Uplink
UPLINK InterferenceItotal = IINTRACELL + I INTERCELL + Io
Slide 18ISART 2002
Boulder, 5. March [email protected]
Smart Antenna Interference Situation - Downlink
Pilot Pilot
PilotDOWNLINK Interference
Itotal = β * IINTRACELL + IINTERCELL + IPilot&Control + Io
Slide 19ISART 2002
Boulder, 5. March [email protected]
Uplink Interference – Spatial Distribution
Do we have spatially white interference?
i.e. are interferers equally distributed?
Interference could be modelled as randomprocess, i.e. white gaussian noise
Smart antenna gain look-up tables ( f {SNIR})could be used for radio network planning
Interference is NOT spatially white!
Slide 20ISART 2002
Boulder, 5. March [email protected]
Interference is not spatially white - Consequences
Signal
Interference
Interference
INTRA-cell
INTER-cell
• Simulate the system• Traffic distribution• Receiver structure
Slide 21ISART 2002
Boulder, 5. March [email protected]
Sequential Space-Time Weight Calculation
Spatial Domain
• Channel estimation• Number of antenna
elements• Algorithms
– Beam switching– Beam steering– Maximum Ratio Comb.– ....
Optimum:
wQwwRw
ww )(
)(maxarg)( )(
)(,
ττ
τ SH
SHSopt =
Temporal Domain
• Number of Rakefingers
• Maximum Taps• Rake finger
selection• Algorithms
- ....
Optimum:
SC/MRC
Slide 22ISART 2002
Boulder, 5. March [email protected]
Outline
• Introduction• Smart Antenna Planning Targets• Challenges• Planning Example - Results
– A planning example– Integrated radio planning process
• Considerations beyond 3G
Slide 23ISART 2002
Boulder, 5. March [email protected]
Smart Antenna Radio Network Planning Example
City of Vienna, Austria
City of VIENNA, Austria
• 144 Cells / 72 “smart” Cells• Urban propagation model • Background noise floor of -105dBm• DOA with 8° rms angular spread• 1 Antenna (65° Sector)• 4 Element ULA • d=λ/2 inter-element spacing• Service Mix: speech, 64k, 144k• UL processing: seq.-space-time
- spatial processing: opt. Comb.- temp. processing: MRC
• DL processing: beamforming- UL AoA
Slide 24ISART 2002
Boulder, 5. March [email protected]
Planning ExampleCity of Vienna, Austria
Where do we have bad/no service coverage?
How does the outage-probability look like?
Where do we have to invest money?
Slide 25ISART 2002
Boulder, 5. March [email protected]
Capacity Increase
19.4
14.2
23.8
UL load [%]
2193
1610
920
Throughput[kbit/s/cell]
36.7Smart Antennas+ Radio Network
Planning
36.0Smart Antennas
No planning
37.4Sector antenna
BS power [dBm]
+75%
+36%
Smart Antenna Radio Network Planningwill boost the capacity by more than 30%!
Slide 26ISART 2002
Boulder, 5. March [email protected]
Outline
• Introduction• Smart Antenna Planning Targets• Challenges• Planning Example - Results• Considerations beyond 3G
– Smart Antennas beyond 3G – System Evolution– Challenges beyond 3G– Radio Network Planning Evolution
Slide 27ISART 2002
Boulder, 5. March [email protected]
System Evolution
GSMGSMGSM
GPRS/EDGEGPRS/EDGEGPRS/EDGE
UMTSUMTSUMTS
Evolution
IncreasingCapabilities
The way towards anThe way towards an“integrated wireless world”“integrated wireless world”
MIMOMIMOMIMO
Slide 28ISART 2002
Boulder, 5. March [email protected]
Mobile Communications beyond 3G
Beyond 3G
Mob
il
3GUMTS
GPRSEDGE
GSM
Fixed line networks
BluetoothWLL / WLAN
OFDMMIMO
ity
Data rate
Slide 29ISART 2002
Boulder, 5. March [email protected]
Multi data rate mix in an „integrated wireless world“
Low data rate Which services?
Where?
What are the costs?
What about mobility?
Which access technology?
Traffic demand?
Data security?
Medium data rate
High data rate
Very high data rate
Slide 30ISART 2002
Boulder, 5. March [email protected]
Radio Network Planning EvolutionRadio Network Planning Evolution
Evolution
Incr
easi
ng C
apab
ilitie
s
Multi-ServicePlanning
Hybrid Techn.Planning
AutomaticSystem
Management
Max. spectrum efficiency
Access Technology Management
Max. cost efficiency
PropagationPlanning
Slide 31ISART 2002
Boulder, 5. March [email protected]
Conclusions
Advanced Spatio-Temporal ChannelModels are required for Smart AntennaSystems
Smart Antenna Radio Network Planningwill boost the capacity by more than 30%
Higher Layer Procedures and RRM algorithms have to be considered
3G and Beyond: Radio NetworkPlanning will be enhanced byAutomatic System Management
Slide 32ISART 2002
Boulder, 5. March [email protected]
Thank you
System Management for Enhanced Wireless Access
