QoS and QoE Management in UMTS Cellular Networks Part 6
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UMTS蜂窝网络QoS和QoE管理讲义
6.Radio Network
Dimensioning and Planning
Dr. David Soldani
(, tel. +358.50.3633527)
S-38.3215 Special Course on Networking Technology for Ph.D. students at TKK
UMTS蜂窝网络QoS和QoE管理讲义
Outline
WCDMA radio dimensioning and planning
Radio dimensioning aspects for UTRAN FDD A virtual time simulator for UTRAN FDD HSDPA dimensioning
(E)GPRS dimensioning
Procedure for CS and PS traffic
Dimensioning with capacity and bite guarantees Dimensioning with QoS guarantees
UMTS蜂窝网络QoS和QoE管理讲义
Dimensioning aspects for UTRAN FDD
3GPP leaves the engineering process, as planning and dimensioning aspects, to convert traffic demand into needed resources to vendors’and operators’choice
Hence, due to the complexity of the system and related expenditures, any
practical realization and deployment of new application servicesneeds to be validated a prioriby means of analytical approaches, or simulations, depending on the desired level of accuracy
None of the published analytical methods and tools showed enoughflexibilityfor an efficient and effective WCDMA radio interface dimensioning
We propose plain methods for radio interface dimensioning an a simple tool, which supports models for packet and circuit switched services, and processes snapshots of the system status, upon which performance statistics are derivedThe proposed solution is used to analyze the deployment of PoC (Push to talk over Cellular)by means of several case studies
UMTS蜂窝网络QoS和QoE管理讲义
Simulator structureStart
TG
Compute probability of a user to be active, generate active users even based and map bearers into services Scan inactive users Increase number of users, the probability of a user to be active is held constant Sort queue based on priorities Compute total loading for GB services and do the admission control Scan queue
AC
Outer loop: To Outer loop: To derive the derive the maximum load maximum load the cell can the cell can offer at given offer at aagiven QoS QoSN% of satisfied users< thresholds? Y Print offered and served traffic, throughput and% of satisfied users4
Compute load budget for NGB services Allocate bit rates to NGB users, i.e. do packet scheduling Scan queue Collect statistics
PS
Inner loop: The Inner loop: The new configuration new configuration of active users is of active users is repeated to repeated to approximate the approximate the desired result desired result more closely more closely
N All iteration done? Y
Compute% of satisfied users
PM
S-38.3215 Special Course on Networking Technology/ David Soldani/ Fall 2006
UMTS蜂窝网络QoS和QoE管理讲义
Call generator
Supported traffic models
CS speech and video calls
PS SWIS, PoC, streaming, MMS, WAP and dialup connections
Service (i) based parameters
QoS Profile: TC, THP, bit rates, ARP Mean service time (s): Ti Mean arrival rate (s): Ai
Share of subscription (%): Si
Probability Pifor service ito be used is:Group factor for PoC in Picomputation
Geometric distribution
Min =1, Max = 25, Mean =4
TiSi
Pi=
Ai100
Inner loop: Conditional probability for a user to make other callsOffered traffic in number of subscriptions Niis estimated as:Ni
Ui= average number of active bearers carrying the service i
Ai
=Ui
Ti
UMTS蜂窝网络QoS和QoE管理讲义
RRM and load estimates
GB is blocked if either one of the following in-equation is satisfied:
LTotal=LNGB+LGB>LTarget+Offset
LGB+ΔLGB>LTarget LNBGBcapacity
NGB traffic is always admitted, and bit rate allocated based on
PBNGB=LTarget (LNGB+LGB)
The load estimates are based on the fractional load equations
η
k=1+SHODL
W
ρkRkvk((1 α)+iDl)where
L∑k
Total=kηDL=PTxTotalPTxMax
UMTS蜂窝网络QoS和QoE管理讲义
Performance monitoring
User satisfaction criteria
not blocked and the average bit rate during the iterations (inner loop) is ≥to 8 (or 16), 64, 32, 64 and 32 kb/s, respectively
At a given traffic mix, the offered load is increased till at least one of the following conditions results true:
Method 1 (maximum offered load):
Less than 70%of MMS or WAP users are satisfiedLess than 50%of dialup users are satisfied
Less than 90%of users of any of other services are satisfied
Method 2 (impact of a new service on the existing subscribers satisfaction):
The subscription level is increased gradually for the new service while keeping the input load of the other services constant
UMTS蜂窝网络QoS和QoE管理讲义
Simulation Assumptions (1/2)
UMTS蜂窝网络QoS和QoE管理讲义
Simulation Assumptions (2/2)
* The volume is increased from 0 to 100%, whereas the average PoCgroup size is held constant: 1 user in Case 1 and
Case 2, 4 users in Case 3 and Case 4.
UMTS蜂窝网络QoS和QoE管理讲义
Case studies on PoC deployment
Case 1
Maximum allocated bit rate = 8 kb/s
Average PoC group size = 1 (one to one communication) Only different priorities are allocated to distinct services Method 1
Case 2
Maximum allocated bit rate = 16 kb/s All other settings as in Case 1 Method 1
Case 3
PoC av. group size in the same cell = 4 All other settings as in Case 2 Method 1
Case 4
Method 2
500 non-PoC users (held constant) All other settings as in Case 3
UMTS蜂窝网络QoS和QoE管理讲义
Case 1: Simulation results (1/2)
Served PoC traffic as a function of PoC subscriptions
60Cell throughput due to PoC users (kb/s)
5040302010
1
0%
8%
20%
40%60%
80%100%
PoC subscribers
0%
8%
20%
40%
60%
80%100%
PoC subscribers
Average PoC cell throughput < 50 kb/s≤7% of the total traffic in the cell
87PoC traffic in the cell (%)
65432
UMTS蜂窝网络QoS和QoE管理讲义
Case 1: Simulation results (2/2)
Impact of PoC traffic on other services
Insignificant: Only 7% of the other services would be not satisfactory if all the end users subscribed to PoC
Variation of max. n. of non-PoC subscriptions (%)
10099989796959493929190
0%
8%
20%
40%Max. number of subscriptions
0%
8%
20%40%60%PoC subscribers
80%
100%
60%80%100%
UMTS蜂窝网络QoS和QoE管理讲义
Case 2: Simulation results (1/2)
Served PoC traffic as a function of PoC subscriptions
10090Cell throughput due to PoC users (kb/s)
80706050403020100
0%
8%
20%
40%
60%
80%
100%
PoC subscribers
Average PoC cell throughput < 90 kb/s≤13% of the total traffic in the cell
1412PoC traffic in the cell (%)
1086420
0%
8%
20%
40%
60%
80%
100%
PoC subscribers
UMTS蜂窝网络QoS和QoE管理讲义
Case 2: Simulation results (2/2)
Impact of PoC traffic on other services
More significant than in Case 1: about 13% of the other serviceswould be not satisfactory if all the end users subscribed to PoC
Variation of max. n. of non-PoC subscriptions (%)
100999897969594939291908988878685
0%
8%
20%
40%PoC subscribers
60%
80%
100%
1100Max. number of subscriptions
10009008007006005004003002001000
0%
8%
20%
40%
60%
80%
100%
PoC subscribers
UMTS蜂窝网络QoS和QoE管理讲义
Case 3: Simulation results (1/2)
Served PoC traffic as a function of PoC subscriptions
Average PoC cell throughput < 250 kb/s≤1/3 of the total traffic in the cell
3530
250
Cell throughput due to PoC users (kb/s)
200
PoC traffic in the cell (%)
252015105
150
100
50
0%
8%
20%
40%
60%
80%
100%
PoC subscribers
0%
8%
20%
40%
60%
80%
100%
PoC subscribers
UMTS蜂窝网络QoS和QoE管理讲义
Case 3: Simulation results (2/2)
Impact of PoC traffic on other services
Worst case: Significant deterioration of the performance of other services if more than 20% of the end users subscribed to PoC
Variation of max. n. of non-PoC subscriptions (%)
11001000Max. number of subscriptions
9008007006005004003002001000
0%
8%
20%40%60%
80%
100%
PoC subscribers
UMTS蜂窝网络QoS和QoE管理讲义
Case 4: Simulation results (1/2)
Average cell throughput as a function of PoC subscriptions
As expected, when the PoC traffic increases the NGB load decreases (PoC has higher priority), whereas the load due to GB services remains constant (PoC has no means to affect the AC of GB services)
700600Cell throughput (kb/s)
5004003002001000
0%
8%
20%
40%PoC subscribers60%
80%
100%
UMTS蜂窝网络QoS和QoE管理讲义
Case 4: Simulation results (2/2)
Impact of PoC traffic on other services
Significant deterioration of WAP performance if more than 50% ofthe end users subscribed to PoC: Extra capacity needed in the cell
1009080Satisfaction level (%)
706050403020100
0%
8%
20%
40%PoC subscribers
60%
80%
100%
UMTS蜂窝网络QoS和QoE管理讲义
Virtual time simulator for UTRAN FDD
In UMTS only a layered bearer service architecture and QoS attributes are defined: Implementation and planning aspects of the actual QoS management functions are left to vendors’and operators’choice
Due to the complexity of the system and infrastructure costs, any practical deployment of radio resources management (RRM) algorithms and offered services in UTRAN needs to be validated a prioriby means of static or dynamic simulations, depending on the desired level of time resolution and accuracyWe present a virtual time simulator that overcomes the
limitations(snap shot of the system status only) and complexity(far too high time resolution) of static and dynamic system level simulators
UMTS蜂窝网络QoS和QoE管理讲义
Simulator structure
Modular structure with clear interfaces: Each module is implemented independently so that each entity may be straightforwardly replaced by an alternative solution
Supported functions: Traffic and path loss generators, Admission
Control (AC), Load Control (LC), Packet Scheduler (PS), Power Control (PC), Process Calls (PrC) and Performance Monitoring (PM)
Mobility effects and SHO gains:may be taken into account by e.g. speed dependent Eb/N0 requirements and SHO condition
DHO branches are processed first followed by the main branches, the bit rate assigned to the radio link set (UE) is the minimum of the bit rates allocated separately (for each cell) to all radio links of the active set
The maximum resolution of the tool is one radio resource indication period (RRI), i.e. the time needed to receive the power levels from thebase stations
UMTS蜂窝网络QoS和QoE管理讲义
Simulation flow chart
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QoS and QoE Management in UMTS Cellular Networks Part 603-20
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