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8/16/2019 04 Air Interface Optimization
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1 © Nokia Siemens Networks RN31574EN30GLA0
Air interface optimization
3G RANOP RU30
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2 © Nokia Siemens Networks RN31574EN30GLA0
Course Content
KPI overview
Performance monitoring
Air interface optimization
Traffic Monitoring
Capacity Enhancement
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At the end of the module you will be able to:
• Describe techniques for interference and neighbour analysis
and interference reduction
• Discuss techniques for coverage monitoring and enhancement
• Understand techniques for slow fading analysis
• Describe techniques to monitor and improve CQI
• Describe how to improve neighbour plan with NSN Optimizer
Tool
Module Objectives
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Interference monitoring and reduction
Overview
Ec/Io
Little I
Pilot pollution - cell matrix
Propagation delay - positioning
SHO delay
Coverage monitoring and enhancement
Slow fading analysis
CQI monitoring and improvement (HSDPA)
NSN Optimizer Tool (appendix)
Air Interface Optimization
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Power
(dBm)
Ec/Io = RSCP / RSSI
Indicates total amount of interference in a cell
Decreases from cell centre towards cell edge
distance
Ec/Io
Ec/Io
RSCP
RSSI
Interference monitoring – Ec/Io
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RSSI
cell 1
cell edge
power of neighbours
dominate
cell centre
power of server
dominates
„i“ = 0.3 „i“ = 1.0
cell 2
Little i = adjacent cell interference / own cell interference
Indicates overlap of cells due to their total DL power
Increases from cell centre towards cell edge
Interference monitoring – little i
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RSCP
cell 1
cell edge
neighbouring CPICH
dominate
cell centre
serving CPICH
dominates
cell 2
Pilot pollution = total adjacent cell RSCP / own cell RSCP
Indicates overlap of cells due to their CPICH power
Increases from cell centre towards cell edgeDominance of neighboring CPICH usually consequence of SHO problem
Interference monitoring – pilot pollution
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Interference monitoring and reduction
Overview
Ec/Io
Little I
Pilot pollution - cell matrix
Propagation delay - positioning
SHO delay
Coverage monitoring and enhancement
Slow fading analysis
CQI monitoring and improvement (HSDPA)
NSN Optimizer Tool (appendix)
Air Interface Optimization
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Ec/Io indicated by the following RRC messages
Connection request serving cell only whole cell area coveredCell update serving cell only cell edge (cell update) only
Event 1A report all measured cells cell edge (SHO) only
Event 1B report all active cells cell edge (SHO) only
Event 1C report all active cells and better neighbor cell edge (SHO) only
Event 1E report all active cells cell edge (HHO) only
Event 1F report all active cells cell edge (HHO) only
Ec/Io monitoring – RRC messages
UE BS RNC
Connection request
Cell update
Event 1A…1F report
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New RU30 counters M1033C0…M1033C9
Number of connection requests falling into specific Ec/Io interval
Updated in serving cell
Ec/Io ≥ -2 dB
-2 dB > Ec/Io ≥ -4 dB
-4 dB > Ec/Io ≥ -6 dB
-6 dB > Ec/Io ≥ -8 dB
-8 dB > Ec/Io ≥ -10 dB
-10 dB > Ec/Io ≥ -12 dB
-12 dB > Ec/Io ≥ -14 dB
-14 dB > Ec/Io ≥ -16 dB
-16 dB > Ec/Io ≥ -18 dB
-18 dB > Ec/Io
Ec/Io monitoring – connection request
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Practical example – RNC cluster
Ec/Io monitoring – connection request
Number of cells versus median Ec/Io
Red = 2 GHz Green = 900 MHz
HHO Ec/Io
threshold
Typical
target
Somewhat lower Ec/Io
for the 900 MHz band
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Practical example – single cell of average performance (2 GHz)
Ec/Io monitoring – connection request
Number of connection requests versus Ec/Io
HHO Ec/Io
thresholdTypical
targetWhole cell area
Most calls setup under
acceptable conditions
Few calls setup under
bad conditions
Very seldom call setup
in HHO area
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Counters M1007C38…M1007C47
Number of Event 1A reports falling into specific Ec/Io interval
Updated in best active cell
Ec/Io ≥ -5 dB
-5 dB > Ec/Io ≥ -10 dB
-10 dB > Ec/Io ≥ -12 dB
-12 dB > Ec/Io ≥ -14 dB
-14 dB > Ec/Io ≥ -16 dB
-16 dB > Ec/Io ≥ -18 dB
-18 dB > Ec/Io ≥ -20 dB
-20 dB > Ec/Io ≥ -22 dB
-22 dB > Ec/Io ≥ -24 dB
-24 dB > Ec/Io
Ec/Io monitoring – event 1A report
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Practical example – RNC cluster
Ec/Io monitoring – event 1A report
Number of cells versus median Ec/Io
Red = 2 GHz Green = 900 MHz
HHO Ec/Io
thresholdTypical
target
Somewhat lower Ec/Io
for the 900 MHz band
Lower Ec/Io in SHO (cell
edge) than during RRC
setup (whole area)
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Practical example – single cell of average performance (2 GHz)
Ec/Io monitoring – event 1A report
Number of event 1A reports versus Ec/Io
HHO Ec/Iothreshold
Typicaltarget
Cell edge
Many calls in bad
conditions
A considerable fraction of
calls even in HHO area # r e p o r t s
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Ec/Io monitoring – causes for low quality
Low
Ec/Io
Low
RSCP
Io mainly
due to UE
receiver
noise
High
Transmitted
Carrier
Power
Io mainly
due to own
cell
interference
High
Little i
Io mainly
due to other
cell
interference
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Interference monitoring and reduction
Overview
Ec/Io
Little I
Pilot pollution - cell matrix
Propagation delay - positioning
SHO delay
Coverage monitoring and enhancement
Slow fading analysis
CQI monitoring and improvement (HSDPA)
NSN Optimizer Tool (appendix)
Air Interface Optimization
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Estimate of little I requires knowledge both of
• Ec/Io (total interference)
•
TCP (own cell interference)
Little I monitoring not supported by NSN counters
Requires analysis of protocol trace
Little I monitoring - requirements
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0.25
0
0.50.75
Little I monitoring – role for capacity
Little I indicates grade of total cell power overlap
The higher the overlap, the lower the capacity
Example
16 W overload threshold
Little I = 1.0 → throughput = 700 kbps
Little I = 0.5 → throughput = 1100 kbps (about 60% more)
1.5
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Practical example – RNC cluster
Little I monitoring – RRC setup
Number of cells versus median little i
Red = 2 GHz Green = 900 MHz
Typical target
Macro cell
Typical target
Micro cell
Somewhat higher little Ifor the 900 MHz band
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Practical example – single cell of average performance (2 GHz)
Number of connection requests versus little i
Typical target
Macro cell
Typical target
Micro cell
Little I monitoring – RRC setup
Whole cell area
Most calls little effected by
adjacent cell interference
Few calls strongly effected
by adjacent cell interference
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Practical example – RNC cluster
Median Ec/Io versus median little I
Each point = one cell
Little I monitoring – impact on Ec/Io
Clear relationship
Low Ec/Io mainly due to
adjacent cell interference
Not due to high DL load
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Practical example – single cell of average performance
Ec/Io versus little I
Each point = one call
Little I monitoring – impact on Ec/Io
Clear relationshipLow Ec/Io mainly due to
adjacent cell interference
Not due to high DL load
Ai I f O i i i
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Interference monitoring and reduction
Overview
Ec/Io
Little I
Pilot pollution - cell matrix
Propagation delay - positioning
SHO delay
Coverage monitoring and enhancement
Slow fading analysis
CQI monitoring and improvement (HSDPA)
NSN Optimizer Tool (appendix)
Air Interface Optimization
Pil t ll ti it i i t
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Pilot pollution monitoring requires complete knowledge of the surroundings
of the UE
Event 1A report the only suitable message
RNC informs UE about ADJS cells to be measured by measurement control
message after
• RRC setup
• Active set update
Pilot pollution monitoring – requirements
UE BS RNC
Event 1A report =
ADJS cells measured by UE
Measurement control =
List of ADJS cells
Pil t ll ti it i bi d i hb li t
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Pilot pollution monitoring – combined neighbour list
Each cell has its own ADJS list
In SHO the ADJS lists of the individual active cells are combined together
according the following rules
1. Active set cells are included
2. Neighbour cells which are common to three active set cells are included
3. Neighbours which are common to the controlling cell and a second active set cell are
included. (cell, other than the controlling cell, which has the highest CPICH Ec/Io)
4. Neighbour cells which are common to two active set cells are included5. Neighbour cells which are defined for only one active set cell are included
6. Neighbours which are defined only for the second ranked cell are included
7. Neighbours which are defined only for the third ranked cell are included
If the combined list exceeds the maximum number of 32 cells during any
step then the handover control stops with the algorithm
Pil t ll ti it i bi d i hb li t
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Neighboured
Not neighboured
1
23 4
56
7
89
UE path
Neighboured
Not neighboured
1
23 4
56
7
89
UE path
Pilot pollution monitoring – combined neighbour list
Because of neighbour list combining it is possible
to measure handover activity between cells without
ADJS relationship
In the example ADJS relationship exists between
cells 2-6 and 6-7, but not between 2-7
In cell 2 cell 6 can be added to active set
Than cell 7 can be added to active cell as well, even
if cell 2 still is best active cell
Pilot poll tion monitoring detected set reporting
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RNC
ServingBTS
Pilot pollution monitoring – detected set reporting
ADJScells
Other nearbycells
According standard operation UE measures ADJS cells only
• Nearby cells forgotten in ADJS list will escape detection
• Will never become active and therefore can strongly interfere with active set
Detected set reporting
• Force UE to measure and report all visible cells
• Reported cell not defined as ADJS is detected cell ADJD
• SHO to ADJD cell allowed, if no ADJS cell available
Problems
• High signaling load for RNC due to longer
measurement reports
• Unstable SHO decisions due to degraded UE
measurement accuracy (more neighbors measured
during same time)
Pilot pollution monitoring NSN counters
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Pilot pollution monitoring – NSN counters
With the optional counters M1013, for each ADJS or ADJD cell one can evaluate
the following properties
• M1013C2 / M1013C3 = average Ec/Io difference active – non active cell (for all active cells)
• M1013C4 / M1013C5 = average Ec/Io (for all reported cells)
• M1013C6 / M1013C7 = average RSCP (for all reported cells)
From these counters follows the overall pilot pollution
With the optional counters M1028, for each ADJD cell one can evaluate the
following properties
• M1028C0 / M1028C1 = average Ec/Io (for all reported ADJD cells)
• M1028C2 / M1028C3 = average RSCP (for all reported ADJD cells)
cell activebest
i
icell neighbor
cell activebest
i
icell neighbor
Io Ec
Io Ec
RSCP
RSCP
pollution Pilot _ _
_ _
_ _
_ _
/
/
_
Pilot pollution monitoring overall results
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Practical example – RNC cluster
Pilot pollution monitoring – overall results
Number of cells versus median pilot pollution
Red = 2 GHz Green = 900 MHz
Typical targetin SHO
Pilot pollution higher in
the 900 MHz band
In general rather high
values, as SHO (cell
edge) considered only
Pilot pollution monitoring overall results
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Practical example – single cell of average performance (2 GHz)
Number of event 1A reports versus pilot pollution
Pilot pollution monitoring – overall results
Typical targetin SHO
Cell edge
Many calls strongly effected
by adjacent cell interference
# r e p o r t s
Pilot pollution monitoring impact on Ec/Io
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Practical example – RNC cluster
Median Ec/Io versus median pilot pollution
Each point = one cell
Pilot pollution monitoring – impact on Ec/Io
Clear relationship
Low Ec/Io mainly due to
pilot pollution
Not due to high DL load
For one cells low Ec/Io
due to low RSCP
Pilot pollution monitoring – impact on Ec/Io
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Practical example – single cell of average performance
Ec/Io versus pilot pollution
Each point = one event 1A report
Pilot pollution monitoring – impact on Ec/Io
Clear relationship
Low Ec/Io mainly due to pilot pollution
Not due to high DL load
Some reports taken under very low RSCP
Pilot pollution monitoring – cell matrix
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Pilot pollution monitoring – cell matrix
In case of high pilot pollution the interfering neighbors must be found
Treat each event 1A report by the following way
• Best active cell = server
• Each other cell = neighbor
Evaluate for each neighbor the following properties
• N = total number of reports collected for the server
• n = number of reports collected for specific neighbor
• Average ∆Ec/Io = Ec/Ioserver - Ec/Ioneighbor
Example values for pilot pollution
• ∆Ec/Io = 4dB (addition window) → pollution = 10-0.4 = 0.4
• ∆Ec/Io = 6dB (drop window) → pollution = 10-0.6 = 0.25
10/][/10 _ _ dB Io Ec
N
nneighbor pollution Pilot
Pilot pollution monitoring – cell matrix
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Pilot pollution monitoring cell matrix
Practical example – single cell of high overall pilot pollution
N reports
for server
n reports for
neighbor
Pilot pollution per
neighbor
e.g. 79 / 87 * 100.78 / 10 = 1.088
∆ Ec/Io perneighbor
Goal to detect neighbors responsible for high pilot pollutionConsider for each neighbor
How often reported ?
With which strength relative to the server ?
Pilot pollution monitoring – cell matrix
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Pilot pollution monitoring cell matrix
Practical example – single cell of high overall pilot pollution
In general very strong neighbors(problem over whole server area)
Very frequently reported
Then as strong as server or even
stronger
Occasionally too strongneighbors (local problem)
Rarely reported
But then stronger than
server
Cause for high pilot pollutionTwo very strong neighbors (probably their coverage area too large)
SC 123 in the average stronger than server (pilot pollution = 1.1)
SC 172 in the average almost as strong as server (pilot pollution = 0.7)
Pilot pollution monitoring – cell matrix
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Pilot pollution monitoring cell matrix
Practical example – single cell of high overall pilot pollution
In general strong
neighbors
Frequently reported
Then as strong as
server or even stronger
Cause for pilot pollution
Several strong neighbors (probably coverage area of server too large)SC 506 / SC 504 / SC 174 / SC 197
All with pilot pollution = 0.2…0.4
In general very
weak neighbor
Very seldom
reported
Far below server
Pilot pollution monitoring – cell matrix
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Pilot pollution monitoring cell matrix
Practical example – single cell of high overall pilot pollution
Cause of pilot pollution
One very strong neighbor (SC 92) with pilot pollution 0.7
Two strong neighbors (SC 89..91) with pollution = 0.2...0.4
On the other side many unnecessary neighbors with pilot pollution = 0
Pilot pollution monitoring – optimization flow
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High overall
pilot pollution
Few very
strong
neighbours
Intra-BTS
Many not very
strong
neighbours
p g p
Inter-BTSCheck whether coverage
area of server is too large
Check whether coveragearea of neighbor is too large
Check angle
between sectorsCheck horizontal
antenna beam
Air Interface Optimization
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Interference monitoring and reduction
Overview
Ec/Io
Little I
Pilot pollution - cell matrix
Propagation delay - positioning
SHO delay
Coverage monitoring and enhancement
Slow fading analysis
CQI monitoring and improvement (HSDPA)
NSN Optimizer Tool (appendix)
p
Propagation delay monitoring – limitations
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To recognize whether a cell is too large, at least the distances of the served
users must be known
UL frame protocol encapsulating RRC connection request the only message
indicating propagation delay
The propagation delay is given with a resolution of 3 chips = 234 m
p g y g
UE BS RNC
RRC connection request
UL frame protocol
RRC connection request encapsulated
Propagation delay
Propagation delay monitoring – NSN counter
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p g y g
Counters M1006C128…M1006C148
Number of connection requests falling into specific propagation delay interval
Updated in serving cell
The intervals are hardcoded, but depend on the setting of the parameter
PRACHDelayRange (see next slide)
The parameter offers the following options
• Set 1 up to 5 km
• Set 2 up to 10 km
• Set 3 up to 20 km
• Set 4 up to 60 km
• Set 5 up to 180 km
Propagation delay monitoring – NSN counter
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g y g
Propagation delay monitoring – too large cell
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Practical example – single cell with high pilot pollution
Cell matrix indicates
• No extremely strong neighbor
• But several significant neighbors
Number of connection requests versus propagation delay
Distant access outside
intended cell area
Server itself might be too large
Propagation delay monitoring – positioning
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Estimate of the position of an UE requires knowledge about the distance to
three BTS
Two possible options exist
• Combination of propagation delay information and propagation model
• Three visible BTS needed only
• But result depends on propagation model
• Combination of Rx-Tx time difference and round trip time
• Active set with three BTS needed
• But result model independent
Positioning not supported by NSN
Requires analysis of protocol trace
Propagation delay monitoring – positioning
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Positioning confirms too distant
access indicated by propagation
delay statistics
Probably water reflection
Server
Too distant
access
Number of connection requests per pixel
Practical example – single cell with high pilot pollution
Propagation delay monitoring – positioning
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Practical example – cell appearing as strong interferer
Number of connection requests per pixel
Server
Too distantaccess
Positioning indicates too distant
access along broad street
Cell is interferer due to street
canyoning effect
Air Interface Optimization
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Interference monitoring and reduction
Overview
Ec/Io
Little I
Pilot pollution - cell matrix
Propagation delay - positioning
SHO delay
Coverage monitoring and enhancement
Slow fading analysis
CQI monitoring and improvement (HSDPA)
NSN Optimizer Tool (appendix)
SHO delay monitoring – idea
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Pilot pollution can be introduced not only by too huge overlap between cells,
but also by problems with SHO
• UE informs RNC too late about the need for SHO
• RNC setups new radio link too late
• RNC cannot perform SHO because no resource available in target cell
Addition window
4dB difference
CPICH 1CPICH 2
time
1st event 1A report e.g.
2dB difference
Ec/Io
New RL setup e.g.
1dB difference
SHO delay monitoring – idea
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Consider difference ∆Ec/Io between serving cell and best non active cell
under the following conditions
• First event 1A report sent after RRC setup (“measurement”)
• Last event 1A report sent before first RL setup due to SHO (“execution”)
Difference should be as close as possible to addition window
• Too small according “measurement” → UE acts too late
• Too small according “execution” → RNC acts too late
SHO delay monitoring not supported by NSN counters
Requires analysis of protocol trace
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SHO delay monitoring – overall results
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Practical example – RNC cluster (execution)
Number of cells versus median 1A window
Red = RT Green = NRT
Addition
window
RT → almost same statistic as for measurement mode
no further delay due to RNC processing
NRT → statistic clearly shifted to even smaller 1A window
further delay due to RNC processing
SHO delay monitoring – impact on pilot pollution
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Practical example – single cell of average performance
Pilot pollution versus 1A window
Each point = one event 1A report
High pilot pollution
in case of too late
SHO process
Addition
window
RRC release
margin
Neighbor
equals server
1A reporting although addition
window not fulfilled yet
SHO delay monitoring – impact on Ec/Io
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Practical example – single cell of average performance
Ec/Io versus 1A window
Each point = one event 1A report
Very low quality in
case of too late SHO
process
1A reporting although addition
window not fulfilled yet
Some reports taken under very
low RSCP
Addition
windowRRC release
margin
Neighbor
equals server
SHO delay monitoring – event 1B
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Not only event 1A, but also event 1B related SHO procedure might be done
too late
Unwanted consumption of capacity, as bad active cell kept too much time in
active set• UE informs RNC too late about the need to drop bad active cell
• RNC deletes radio link too late
Drop window
6dB difference
CPICH 1
CPICH 2
time
1st event 1B report e.g.
8dB difference
Ec/Io RL deletion e.g.
9dB difference
SHO delay monitoring – event 1B
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Consider difference ∆Ec/Io between best and worst active cell under the
following conditions
• First event 1B report sent after RRC setup (“measurement”)
• Last event 1B report sent before first RL deletion due to drop (“execution”)
Difference should be as close as possible to drop window
• Too large according “measurement” → UE acts too late
• Too large according “execution” → RNC acts too late
SHO delay monitoring again not supported by NSN counters
Requires analysis of protocol trace
P ti l l RNC l t ( t)
SHO delay monitoring – overall results event 1B
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Practical example – RNC cluster (measurement)
Number of cells versus median 1B window
Red = RT Green = NRT
Drop
window
RT → 1B window usually 8 to 9 dB
NRT → 1B window usually 7 to 9 dB
UE in general needs too much time to inform
RNC about SHO
In principle SHO process could be speed up by
somewhat lower drop window (5 to 5.5 dB)
But contradicts requirements for event 1A !!
Sometimes 1B reporting
although drop window
not fulfilled yet
P ti l l RNC l t ( ti )
SHO delay monitoring – overall results event 1B
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Practical example – RNC cluster (execution)
Number of cells versus median 1B window
Red = RT Green = NRT
Statistic slightly shifted to
bigger 1B window
Small further delay due to
RNC processing
Drop
window
Sometimes 1B execution
although drop window
not fulfilled yet
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Interference monitoring and reduction
Coverage monitoring and enhancement
Slow fading analysis
CQI monitoring and improvement (HSDPA)
NSN Optimizer Tool (appendix)
RSCP indicated by the following RRC messages
RSCP monitoring – RRC messages
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RSCP indicated by the following RRC messages
Connection request serving cell only whole cell area covered
Cell update serving cell only cell edge (cell update) only
Event 1A report all measured cells cell edge (SHO) only
Event 1B report all active cells cell edge (SHO) only
Event 1C report all active cells and better neighbor cell edge (SHO) only
Event 1E report all active cells cell edge (HHO) only
Event 1F report all active cells cell edge (HHO) only
RSCP reporting by connection request optional feature only
UE BS RNC
Connection request
Cell updateEvent 1A…1F report
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RSCP monitoring in SHO not supported by NSN counters
RSCP monitoring – event 1A report
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RSCP monitoring in SHO not supported by NSN counters
Requires analysis of protocol trace
Practical example – RNC cluster
RSCP monitoring – event 1A report
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Practical example – RNC cluster
Number of cells versus median RSCP
Red = 2 GHz Green = 900 MHz
HHO RSCP
threshold
Typical
target RT
Clearly better coverage in
900 MHz band
Too low coverage in 2 GHz
band especially for NRT
40W cells with 4W CPICH
required
Typical
target NRT
Practical example – single cell of average performance (2 GHz)
RSCP monitoring – event 1A report
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Practical example single cell of average performance (2 GHz)
Number of event 1A reports versus RSCP
HHO RSCP
threshold
Typical
target RT
Typical
target NRT
#
r e p o r t s
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Practical example – RNC cluster
RSCP monitoring – impact on Ec/Io
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p
Median Ec/Io versus median RSCP – 900 MHz band
Each point = one cell
Lower Ec/Io at same coverage in
comparison to 2 GHz band
In 900 MHz band higher adjacent
cell interference
Practical example – single cell of average performance
RSCP monitoring – impact on Ec/Io
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p g g p
Ec/Io versus RSCP
Each point = one event 1A report
Ec/Io rather stable downto coverage of -100 dBm
Than rapid drop with
decreasing coverage
Interference monitoring and reduction
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g
Coverage monitoring and enhancement
Slow fading analysisCQI monitoring and improvement (HSDPA)
NSN Optimizer Tool (appendix)
Both Ec/Io and RSCP undergo certain scatter due to shadowing
Slow fading analysis - motivation
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Must be taken into account when specifying thresholds for opposite procedures e.g.
• Event 1A (add cell) / 1B (drop cell)
• Event 1F (enter compressed mode) / 1E (leave compressed mode)
• Cell re-selection or ISHO to 2G / to 3G
If thresholds for such procedures are to close together, ping-pong mobility and thus
unwanted signaling occurs
NSN counter do not give scatter of Ec/Io and RSCP directlyMust be determined manually from Ec/Io and RSCP distributions of each cell
Practical example – RNC cluster
Slow fading analysis – scatter of Ec/Io
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Number of cells versus scatter of Ec/Io (RRC connection request)
Red = 2 GHz Green = 900 MHz
Scatter of Ec/Io often larger
than 2 dB
Risk of ping-pong 1A/1B
Scatter of Ec/Io rarely larger
than 3 dB
Little risk of ping-pong 1F/1E
Default difference
Drop window –
addition window
Default difference
HHO Ec/Io threshold –
HHO Ec/Io cancel
Practical example – RNC cluster
Slow fading analysis – scatter of Ec/Io
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Number of cells versus scatter of Ec/Io (Event 1A report)
Red = 2 GHz Green = 900 MHz
Under SHO conditions more scatter
of Ec/Io than during RRC setup
More shadowing at cell edge
Default difference
Drop window –
addition window
Default difference
HHO Ec/Io threshold –
HHO Ec/Io cancel
Practical example – RNC cluster
Slow fading analysis – scatter of RSCP
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Number of cells versus scatter of RSCP (Event 1A report)
Red = 2 GHz Green = 900 MHz
Default difference
HHO Ec/Io threshold –
HHO Ec/Io cancel
Scatter of RSCP usually much
larger than 3 dB
High risk of ping-pong 1F/1E
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Coverage monitoring and enhancement
Slow fading analysisCQI monitoring and improvement (HSDPA)
NSN Optimizer Tool (appendix)
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CQI monitoring - motivation
According NSN CQI reported every 4ms by UE
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Reported CQI compensated by Node B on the basis of
• Actual HS-PDSCH power
• Number of ACK and NACK
Node B decides about transport block size for next sub-frame
• Modulation (QPSK, 16QAM, 64QAM)
• Coding rate (1:6 – 1:1)
• Number of codes (1 – 15)
CQI (corrected)
CQI monitoring - motivation
The mapping between CQI and transport format is hardcoded by 3GPP in
dependence of the UE category
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16 3576 5 16-QAM 0
17 4200 5 16-QAM 0
18 4672 5 16-QAM 0
19 5296 5 16-QAM 0
20 5896 5 16-QAM 0
21 6568 5 16-QAM 0
22 7184 5 16-QAM 0
23 9736 7 16-QAM 0
24 11432 8 16-QAM 0
25 14424 10 16-QAM 0
26 15776 10 64-QAM 0
27 21768 12 64-QAM 0
28 26504 13 64-QAM 0
29 32264 14 64-QAM 0
30 32264 14 64-QAM -2
dependence of the UE category
CQI requirements
• ≥ 13 for data rate > 1 Mbit/s
• ≥ 16 for 16QAM
• ≥ 26 for 64QAM
1 136 1 QPSK 0
2 176 1 QPSK 0
3 232 1 QPSK 0
4 320 1 QPSK 0
5 376 1 QPSK 0
6 464 1 QPSK 0
7 648 2 QPSK 0
8 792 2 QPSK 0
9 928 2 QPSK 0
10 1264 3 QPSK 0
11 1488 3 QPSK 0
12 1744 3 QPSK 0
13 2288 4 QPSK 0
14 2592 4 QPSK 0
15 3328 5 QPSK 0
Mapping CQI – transport format
for UE category 13
CQI monitoring – reported CQI
WBTS counters M5000C8…M5000C38
N b f i di i ifi CQI
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Number of reports indicating specific CQI
M5000C8 number of reports indicating CQI = 0
M5000C9 number of reports indicating CQI = 1
…
M5000C38 number of reports indicating CQI = 30
Counters consider CQI as reported by UE, not CQI corrected by Node B
CQI monitoring – reported CQI
Practical example – CQI distribution for two cells
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QPSK 16QAM 64QAM
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CQI monitoring – transport format
No counters for compensated CQI available yet
Just WBTS counters for transport format selected by Node B
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Just WBTS counters for transport format selected by Node B
M5000C49…M5000C53 number of packets with 1…5 codes and QPSK
M5000C54…M5000C58 number of packets with 1…5 codes and 16QAM
M5000C86…M5000C95 number of packets with 6…15 codes and QPSK
M5000C96…M5000C105 number of packets with 6…15 codes and 16QAM
M5000C283 total number of packets with 64QAM (no subdivision in
dependence on number of codes)
CQI monitoring – transport format
Practical example – transport format distribution for two cells
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QPSK
16QAM
Cell with low CQI
Typically 5 codes allocated
Cell with high CQI
Typically 10 codes allocated
CQI monitoring – optimization flow
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Low CQI
Low Ec/Io
Low
RSCP ?
Low HSDPA
power
High adjacent
cell
interference ?
High R99
traffic ?
Wrong power
settings ?
(next chapter)
Interference monitoring and reduction
C it i d h t
Air Interface Optimization
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Coverage monitoring and enhancement
Slow fading analysis
CQI monitoring and improvement (HSDPA)
NSN Optimizer Tool (appendix)
Adjacency Based Measurements Counters
NetAct tool (Optimiser 2.0)
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Adjacency Based Measurements Counters
M1013 Autodef SHO
• M1013C0 Number of Intra Frequency SHO attempts – Counter is Updated when SRNC starts a Branch Addition or Branch Replacement procedure.
• M1013C1 Number of completed Intra Frequency SHO
– Counter is updated when SRNC successfully ends the Branch Addition or Branch Replacementprocedure.
M1014 Autodef IFHO
• M1014C0 Number of Inter Frequency HHO attempts
– Counter is updated when SRNC starts inter-frequency HHO
• M1014C1 Number of completed Inter Frequency HHO
– Counter is updated when SRNC successfully ends inter-frequency HHO
M1015 Autodef ISHO
• M1015C0 Number of Inter System HHO attempts
– Counter is updated when SRNC starts inter-system HHO
• M1015C1 Number of completed Inter System HHO – Counter is update when SRNC receives RANAP:IU RELEASE COMMAND from core network after
successful Inter System HHO
For each measurements (SHO, IFHO
NetAct tool (Optimiser 2.0)
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For each measurements (SHO, IFHO
and ISHO) Statistic show:
• # of HO attempts
• # of HO completed (successful)
to source and target cell objects
Measurement is carried out in SRNC
HO completion is considered
successful if the SRNC during the
handover decision does not detectany errors (errors in the source RNC
side or failure messages fromRRC/Iu/Iur/Iub interfaces)
Object identifiers for M1013 and M1014
Source-RNC/Source-CID
Target-RNC/Target-CID
MCC/MNC
Object identifiers for M1015 (ISHO)
Source-RNC/Source-CID
GSM-LAC/GSM-CID
MCC/MNC
Adjacency Based Measurements Counters
Automated Adjacency Optimisation for 3G in Optimizer 2.0
NetAct tool (Optimiser 2.0)
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Accurate and efficient process for optimizingoperational WCDMA cell adjacencies.
Measurem ent based opt imizat ion
• Current adjacency status analysis
• Deletion of unused adjacenciesbased on KPIs
–
HO attempts, HO success• Adjacency candidate identification,
activation and measurement
– Interfering intra-frequency cells
– Cell pair Ec/No difference from WCDMA
– Neighbour cell signal strength from GSM
• Final adjacency list optimization
• Scrambling code re-allocation
Full visibility and control to the user
Automated Adjacency Optimisation for 3G in Optimizer 2.0
NetAct tool (Optimiser 2.0)
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Creating new adjacencies
NetAct tool (Optimiser 2.0)
A fast way to identify missing intra-frequency
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adjacencies
• Interference measurements colleted from
RNC
• New adjacencies can be created based onthat statistics
Rotation method used to achieve the optimallists
for other adjacency types
• Optimizer creates adjacency candidates
• Candidates are downloaded to network andmeasured
– Statistics collected directly from RNC
Cell pair Ec/No difference
Successful BSIC verifications & BSIC verificationtime
• Final adjacency list is generated
Creating ADJx based on PM data (AutoDef)
NetAct tool (Optimiser 2.0)
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Optimizer will show adjacency based SHO amounts forundefined neighbours. Purpose is to search all ADJS and ADJG new neighbours which are within certain max distance
• Example 1-5 km in urban area and 4-10 km outside urbanarea.
After that only those will be selected which have enoughSHO/ISHO attempts.The selected neighbours could beprovisioned straight away to the network
How to create Missing ADJx based on PM data-1
1. Select area from the map
and start the ADJ Optimization tool
NetAct tool (Optimiser 2.0)
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and start the ADJ Optimization tool
2. Select ADJG, ADJS and ADJW types
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How to create Missing ADJx based on PM data-3
6. Save plan from here with
any name
NetAct tool (Optimiser 2.0)
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4. Purpose is to search all ADJS and ADJG new
neighbours which are within certain max distance like
1-5 km in urban area and 4-10 km outside urban area.
After that only those will be selected which haveenough SHO/ISHO attempts.
5. Start from here
a y a e
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How to create Missing ADJx based on PM data-5 8. Select the whole week
or one day for PM data analysis
NetAct tool (Optimiser 2.0)
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10. Update the list of
Neighbours from here
9. Select the right profile tobrowser (ADJG, ADJS)
11. Sort according to
the PM attempts
How to create Missing ADJx based on PM data-6
12. See the ADJ on top of the map
NetAct tool (Optimiser 2.0)
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13. Provision the selected neighbors to the network
Note ! These neighbors are defined only for one way direction.
See next slides how to make those bi-directionally (Refreshactual operation with RAC)
How to create Missing ADJx based on PM data-7
14. Open the CM data exchange
NetAct tool (Optimiser 2.0)
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under the main window
15. Select refresh actual and wait
Until the data is updated
16. Open the adjacency optimization without selecting any
tabs from Deletion or Creation, just to find just created one way ADJx
How to create Missing ADJx based on PM data-8
17 Save the plan and list the planned elements
NetAct tool (Optimiser 2.0)
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17. Save the plan and list the planned elements
18. You can see now the ADJx neigbours which
can now provisioned to the network
Creating ADJx based on DSR measurements (ICSU)NetAct tool (Optimiser 2.0)
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Detected set measurements are not coming fromundefined neighbours (based on ICSU logs)
Aim is to find source of interference
• cell having many DSR results but no SHOattempts (with neighbour list combination list)
Solutions
• Add found cell to the neighbour
• Down tilt to decrease the interference
DSR measurements are suitable also for ADJGneighbours
DSR activation
Creating ADJx based on DSR measurements (ICSU)NetAct tool (Optimiser 2.0)
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When DSR is not activated, UE monitors only cells in its NCL (either read fromBCCH or sent from RNC in SHO case).
When DSR IS activated, UE scans ALL scrambling codes in same frequencyband and if cells are found that fulfil certain criteria, UE reports this/thesecell(s) as detected cells.
criteria for detection is that UE has to be able to detect if Ec/N0 is greater than
-18 (or -20???) dBfor a DSR to be triggered, detected cell/s must fulfill "normal" HO criteria, i.e.for example, are within the reported range relative to P-CPICH of strongest AScell.
Details of activation :MML command that is sent to RNC that sets some flagactive and RNC orders UE to measure and report. It can be done by HITmacro, but Optimizer is not (supposed to) using them but same commandsthat are in HIT macros are sent directly to RNC.
SHO Success Ratio RNC2 border with RNC3 Data before parameter changeSHO success at RNC border
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SHO success at RNC borderSHO Success Ratio RNC2 border with RNC3 Data after parameter change
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/