Slide titleIn CAPITALS
50 pt
Slide subtitle 32 pt
The Impact of Indoor Traffic on the Performance of WCDMA HSDPA Within Macro
Cells
Author: Mathias NymanSupervisor: Prof. Sven-Gustav HäggmanInstructor: Kimmo Hiltunen, Lic.Sc.(Tech.)
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© LMF Ericsson 2006 2006-01-102
Contents
1. Background, Research Objectives and Methods
2. Basics of HSDPA
3. Simulated Environment and HSDPA Parameters
4. Simulations and Results
5. Conclusions
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© LMF Ericsson 2006 2006-01-103
Background and Objectives
HSDPA starting to appear in 3G networks
Coverage is a crucial factor for success – macro cell coverage in the first place
Fraction of indoor packet data users is estimated to be 70% in the future building penetration loss
The aim of this thesis is to study how the network performance is affected by the indoor traffic
Research methods: Litterature study (HSDPA and propagation models) and computer simulations
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© LMF Ericsson 2006 2006-01-104
Contents
1. Background, Research Objectives and Methods
2. Basics of HSDPA
3. Simulated Environment and HSDPA Parameters
4. Simulations and Results
5. Conclusions
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Basics of HSDPA
Channelization codes allocatedfor HS-DSCH transmission
8 codes (example)SF=16
SF=8
SF=4
SF=2
SF=1
Shared Channel Transmission– New HS-DSCH Transport Channel– Dynamically shared power and code
resource
TTI
Shared channelization
codes
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Basics of HSDPA
Shared Channel Transmission– New HS-DSCH Transport Channel– Dynamically shared power and code
resource
HS-DSCH
Common channels (not power controlled)
Dedicated channels (power controlled)
To
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Basics of HSDPA
Shared Channel Transmission– New HS-DSCH Transport Channel– Dynamically shared code resource
Adaptive Modulation and Coding– Data rate adapted to radio
conditions– 2 ms time basis
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Basics of HSDPA
Adaptive Modulation and Coding– Data rate adapted to radio
conditions– 2 ms time basis
Hybrid ARQ– Soft combination of multiple
attempts
Shared Channel Transmission– New HS-DSCH Transport Channel– Dynamically shared code resource
Fast Scheduler– 2 ms time basis– Round Robin, Proportional Fair or Max-C/I
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Contents
1. Background, Research Objectives and Methods
2. Basics of HSDPA
3. Simulated Environment and HSDPA Parameters
4. Simulations and Results
5. Conclusions
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© LMF Ericsson 2006 2006-01-1010
Simulated Environment Seven 3-sector sites, wrap-around
Both outdoor and indoor users
COST-WI propagation model
Shadow fading std: 10 dB
Multipath channel: 3GPP Typical Urban
Position dependent building penetration loss
Only HSDPA traffic
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HSDPA Parameters
Modulation: QPSK / 16QAM
HS-PDSCH codes: 10
Scheduling Policy: Proportional Fair
GRAKE Receiver
Traffic type: Interactive, 200kB data packets
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Contents
1. Background, Research Objectives and Methods
2. Basics of HSDPA
3. Simulated Environment and HSDPA Parameters
4. Simulations and Results
5. Conclusions
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Impact of Indoor Users Building penetration causes
the A-DCH power to be increased
HS-power is also attenuatedlower CIR
Increased transmission delay
HS-DSCH
Common channels (not power controlled)
Dedicated channels (power controlled)
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Power distribution (non-HS channels)
Very little power reserved for the non-HS channels when most of the users are located outdoors
As the fraction of indoor users increase, more power is used by the non-HS channels.
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Active A-DCHs per cell
As the fraction of indoor users increase, there will be more simultaneous active links per cell
Note that the number of available A-DCHs is 84 in these simulations
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Network performance for different fractions of indoor users The network performance is
clearly decreasing as the fraction of indoor users increase.
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Floor height gain
The performance is worse for the ground floor users (dashed lines) due to the floor height gain.
Ground floor users are exposed to ~14.5 dB more path loss than the top floor (6th floor) users.
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Indoor margin
The system performance is presented for different path loss values when all users are located outdoors
An additional path loss of 19 dB corresponds to the performance of the case with an indoor user fraction of 75%.
Appropriate ”indoor margins” can be taken into account if the amount of indoor users can be estimated.
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Contents
1. Background, Research Objectives and Methods
2. Basics of HSDPA
3. Simulated Environment and HSDPA Parameters
4. Simulations and Results
5. Conclusions
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Conclusions
Larger fraction of indoor users decreased network performance
Estimation of the indoor usage will help when designing the network (indoor margin).
A cost-effective macro cellular solution will be suitable in the initial phase, dedicated indoor systems etc. will be required later
Further study: Real network measurements including other traffic than HSDPA, follow-up on HSDPA usage (share of total traffic, amount of indoor usage, etc.)