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Self-Management for
UnifiedHeterogeneous Radio Access
NetworksISWCS 2015
Twelfth International Symposium on Wireless
Communication Systems
Brussels, Belgium
August 25, 2015
Session 2Chair: Mehdi Amirijoo
SON for future networks: SEMAFOUR highlights and resultsMehdi Amirijoo - Ericsson, Sweden
Multi-layer LTE/Wi-Fi traffic steering: from load control tothroughput optimisationYu Wang - Ericsson, Sweden
Steering users based on their mobility behaviour in multi-RATnetworksBart Sas - iMinds, Belgium
AAS evolution: SON solutions for vertical & virtual sectorisationKonstantinos Trichias - TNO, The Netherlands
Dynamic spectrum allocation for shared use of GSM and LTENils Dreyer - Technische Universität Braunschweig, Germany
Workshop Program
2 Workshop on Self-Management for Unified Heterogeneous Radio Access Networks, August 25, 2015
SON for Future Networks: SEMAFOUR Highlights and Results
Mehdi Amirijoo
Ericsson Research, Ericsson AB
SEMAFOUR Vision
4 Workshop on Self-Management for Unified Heterogeneous Radio Access Networks, August 25, 2015
Decision SupportSystem
SERVICEPROVIDER
NETWORKOPERATOR
HETEROGENEOUS NETWORK
General Network-Oriented Objectives
Network Status related to General Network-Oriented Objectives
Integrated SON Management
PhysicalNetwork
Resources
PhysicalNetwork
Resources
PhysicalNetwork
Resources
Policy-Based SON ManagementM
onito
ring
&D
iagn
osis
Operational SON Coordination
Multi-RAT / Multi-layer SON
WLANMgmt.
2G / 3G SON
LTESON
UNIFIED SELF-MANAGEMENT SYSTEM
SON Functions for Multi RAT and Multi Layer Networks
5 Workshop on Self-Management for Unified Heterogeneous Radio Access Networks, August 25, 2015
SON Design Principles
Multi-layer LTE/Wi-Fi Traffic Steering
time
Vertical & Virtual SectorisationUser Steering Based on Mobility Behaviour
Dynamic Spectrum Allocation
SON Functions for Multi RAT and Multi Layer Networks
6 Workshop on Self-Management for Unified Heterogeneous Radio Access Networks, August 25, 2015
SON Design Principles
time
Vertical & Virtual Sectorisation
Dynamic Spectrum Allocation
User Steering Based on Mobility Behaviour
Multi-layer LTE/Wi-Fi Traffic Steering
Operators are using Wi-Fi for offloading– “Carrier grade Wi-Fi”
Current typical UE behavior: Wi-Fi If Coverage
Objective: Steer traffic between multi-layer LTE and Wi-Fi to improve user experience and network efficiency
Multi-layer LTE/Wi-Fi Traffic Steering
7
LOAD
LTE Wi-Fi
Average Load
Target
LTE Wi-Fi
Average Load
Target
Predicted LTE throughput
Predicted Wi-Fi throughput? ?
Workshop on Self-Management for Unified Heterogeneous Radio Access Networks, August 25, 2015
Significant improvements compared to “WiFi if coverage”:> 50% mean UE throughput gain, > 150% cell edge throughput gain
Wi-Fi If Coverage
TS SONLTE load control
CSRFixed step size
TS SONiRAT load control
Resource UtilizationFixed step size
TS SONLTE load control
CSRVariable step size
TS SONThroughput controlNo control parameter
adjustment
50%
150%
+9%+16%
+90%
+140%
+22%
+63%
+1%+25%
185%
SON Functions for Multi RAT and Multi Layer Networks
8 Workshop on Self-Management for Unified Heterogeneous Radio Access Networks, August 25, 2015
SON Design Principles
time
Vertical & Virtual Sectorisation
Dynamic Spectrum Allocation
Multi-layer LTE/Wi-Fi Traffic Steering
User Steering Based on Mobility Behaviour
High mobility occurs when– Dense deployment of cells– High velocity users
Short stays have a negative impact– Reduced QoS due to data outage during HO– More drops and HO failures– Increased signalling & data overhead in the core
Objective: design a SON function that– Unnecessary handovers are avoided– Users stay longer in the target cell– Throughput is maintained/improved
Steers users more intelligently based on predicted future mobility behaviour
User Steering Based on Mobility Behaviour
9 Workshop on Self-Management for Unified Heterogeneous Radio Access Networks, August 25, 2015
Evaluated in Hannover scenario. Reduction in short stays and HO failure for users subject to SON feature
Short stays HO failure
SON function OFF 31.6% 29.8%
SON function ON 12.5% * 0% ** Includes only users being subject to High Mobility SON function
SON Functions for Multi RAT and Multi Layer Networks
10 Workshop on Self-Management for Unified Heterogeneous Radio Access Networks, August 25, 2015
SON Design PrinciplesDynamic Spectrum Allocation
Multi-layer LTE/Wi-Fi Traffic Steering
User Steering Based on Mobility Behaviour
time
Vertical & Virtual Sectorisation
Active Antenna System (AAS) technology: RF components integrated in the antenna
– UE beam stearing, Separate Tx-Rx tilting, Separate carrier tilting, ...
Studied 2 applications: – Vertical Sectorisation (VS): inner and outer cell– Virtual sectorization (ViS): small cell in macro cell
Many dimensions to optimize, for example– VS & ViS activation– Power and BW split (interference management)– Tilt and location
Objective: design SON algorithms that based on current traffic distribution
– (De)activate VS and ViS– VS power allocation– ViS BW split
Vertical and Virtual Sectorisation
11 Workshop on Self-Management for Unified Heterogeneous Radio Access Networks, August 25, 2015
z
x
yq
- f
f
dx
dz
Significant 10th percentile throughput gain (%) of VS SON feature compared to FULL VS
60% of cells
20-80% gain
SON Functions for Multi RAT and Multi Layer Networks
12 Workshop on Self-Management for Unified Heterogeneous Radio Access Networks, August 25, 2015
SON Design Principles
time
Vertical & Virtual SectorisationMulti-layer LTE/Wi-Fi Traffic Steering
User Steering Based on Mobility Behaviour
Dynamic Spectrum Allocation
Mobile traffic demand is continuously increasing:
• From Q1 2014 to Q1 2015: data traffic increased by 55%
• Voice traffic remains constant
Scarce frequency spectrum & not optimally used
Dynamic Spectrum Allocation (DSA)
13 Workshop on Self-Management for Unified Heterogeneous Radio Access Networks, August 25, 2015
Objective: Optimize spectral usage by dynamically allocate spectrum 1) within LTE (intra-RAT) or 2) across technologies GSM/LTE (inter-RAT)
– Intra-RAT LTE DSA: Reduce interference to highly loaded cell (cell 3) by restricting spectrum of interfering cells (cells 1,2, and 4)
– Multi-RAT DSA: Introduction of LTE in GSM Traffic Channel band
Source: Ericson Mobility Report June 2015Inter-RAT: GSM/LTE: 100% gain in mean user throughput in LTE
GSM/WCDMA only
GSM/WCDMA/ LTE
SON Functions for Multi RAT and Multi Layer Networks
14 Workshop on Self-Management for Unified Heterogeneous Radio Access Networks, August 25, 2015
time
Vertical & Virtual Sectorisation
Dynamic Spectrum Allocation
Multi-layer LTE/Wi-Fi Traffic Steering
User Steering Based on Mobility Behaviour
SON Design Principles
Objective
Avoidance of conflicting SON behavior at design time
Conflict Free SON Design and Methodology Design Principle 1: Separation of Control Design Principle 2: Separation of Concern Design Principle 3: Separation of Time Scales Methodology for detecting potential conflicts at design time
SON Design Principles
15
SON Function 1 Control
Parameter 1Metric 1
SON Function 2
Control Parameter 2
Metric 2
Goal 1
Goal 2
No undesired interactions between:• Dynamic Spectrum Allocation• WiFi/LTE Traffic Steering• Vertical and virtual sectorization
Potential conflict between High Mobility and Traffic Steering, which can be alleviated by Separation of Concern
Workshop on Self-Management for Unified Heterogeneous Radio Access Networks, August 25, 2015
Significant network performance improvement
Improvement of the spectral usage
Major steps towards lightweight management of RAN
Impact on standardisation
Cutting edge research– New approaches for SON– State of the art simulators using Hannover
scenario
Publications– 13 publications– Best paper award at EuCNC 2015 and
ICWMC 2014
Achievements
16 Workshop on Self-Management for Unified Heterogeneous Radio Access Networks, August 25, 2015
Thank you
for your attention
www.fp7-semafour.eu
17 Workshop on Self-Management for Unified Heterogeneous Radio Access Networks, August 25, 2015
Session 2Chair: Mehdi Amirijoo
SON for future networks: SEMAFOUR highlights and resultsMehdi Amirijoo - Ericsson, Sweden
Multi-layer LTE/Wi-Fi traffic steering: from load control tothroughput optimisationYu Wang - Ericsson, Sweden
Steering users based on their mobility behaviour in multi-RATnetworksBart Sas - iMinds, Belgium
AAS evolution: SON solutions for vertical & virtual sectorisationKonstantinos Trichias - TNO, The Netherlands
Dynamic spectrum allocation for shared use of GSM and LTENils Dreyer - Technische Universität Braunschweig, Germany
Multi-RAT Multi-Layer Presentations
18 Workshop on Self-Management for Unified Heterogeneous Radio Access Networks, August 25, 2015