Transcript No Slide Title - IEEE Standards Working Group Areas

SON in IEEE 802.16m system
IEEE 802.16 Presentation Submission Template (Rev. 9)
Document Number:
IEEE S802.16m-08/1275
Date Submitted:
2008-10-30
Source:
Lei Jin, Libra Xiao, Hongzhuo Zhang, Changhoi Koo
Huawei Technologies
Voice:
E-mail:
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[email protected]
[email protected]
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Venue:
RE: Suppport for Self Organizing Networks (SON). In response to the TGm Call for Contributions 802.16m-08/040 for Session 58
Base Contribution:
This is the base contribution.
Purpose:
To be discussed and adopted by TGm for the 802.16m SDD
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Contents
•
Introduction
–
–
–
•
Self Configuration
–
–
•
Automated Configuration and Neighbor Relation
Cell parameters and Coverage Re-configuration
Self Optimization
–
–
–
–
•
Basic Requirements
SON Structures
SON for IEEE802.16m protocol structure
Coverage and Capacity Optimization
Inter-System Automatic Neighbor Relation
Load Balancing
Mobility robustness optimization
Proposed Text
2
Basic Requirements
• Self-configuration
– Allowing real plug and play installation of network nodes and cells
• Self-adaptation of the initial configuration
• Update of neighbor nodes and neighbor cells
– Allowing fast re-configuration and compensation in failure cases.
– Allowing dynamic re-configuration and planning based on the
environment
• Self-optimization
– Allowing automated or autonomous optimization of network
performance
•
•
•
•
Service availability and QoS
Network efficiency
Throughput.
No any performance loss and degradation
3
SON Structures
• Centralized Structure
– SON engines are executed at the CSN
• Distributed Structure
– SON engines are executed at the BS (or similar) level
• Hybrid Structure
– SON engines are executed at the CSN and BS both
4
SON Structures - Centralized Structure
• Simple, stable and easy to
implement
• Latency and processing
power
• Information passing time
may be relatively longer due
to geographical location
• Information transfer for
SON could be an
undesirable load for network
• Processing power depends
on the centralised SON
entity
SON Function
CSN
Network
Parameters
&
Measurment
Control
Performance
Indicators
BS
MS assisted mesurements
MS
5
SON Structures - Distributed Structure
• Short latency time, flexible extendibility and transparent to
network level.
• Inter-operability and security issues by different operators
– The interface for SON operation between BSs
– The coordination with multiple SON algorithms spread in multiple BS
SON server
CSN
CSN
Initial parameters
IP address
SON Function
Related Functions
Neighbor
BS
BS
MS assisted mesurements
MS
6
SON Structures - Hybrid Structure
• Proposed structure for SON
• The functions locate in both CSN and BS partially.
– Maximize the performance and utilization
– Intelligent and effective SON operation
SON server
,including SON
function
CSN
Initial
configurati
on
Report
CSN
IP address
SON Function
Related Functions
Neighbor BS
BS
MS assisted mesurements
MS
7
SON for IEEE 802.16m Protocol Structure
•
Self Organization block in the BS performs functions to support self configuration
and self optimization mechanisms and performs communication with the CSN having
SON functionality. The functions in the BS include procedures to request
RSs/MSs/CSN to report measurements for self configuration and self optimization
and receive the measurements from the RSs/MSs/CSN.
8
Self Configuration
• Automated Configuration and Neighbor Relation
– Cell ID allocation and network deployment
• The proper cell ID for a new BS is derived from radio network
planning
– Neighbor BS information update
• BS ID may be semi-automatically configured by network planning
• When the new BS is installed, neighbor information is varied
– The BS automatically judges and selects information
• Cell ID and frequency assignment of the neighbour BS
• Analyze and update the neighbor relation
• MS assisted
9
Self Configuration
• Cell Parameters and Coverage Re-configuration
– The BS needs to adjust the cell parameters and
configurations
• Due to duplicate cell region and to minimize the interference to the
neighbor cell
• A lack of air resources to be allocated into the MS
– Measurement, Adjustment and Report
• MS feedbacks the relevant information to the serving BS.
• BS adjusts the cell parameters and cell coverage with proper
messaging
• BS enforces the MS to handoff to the neighbor cell
10
Self Optimization
• Coverage and Capacity Optimization
– MS is in blind area
• Intra-BS blind area : MS returns to the original serving BS.
• Inter-BS blind area : MS goes to the neighbor BS.
– Measurement, Adjustment and Report
• MS feedbacks the relevant information to the following serving BS.
• BS reports to the SON function
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Self Optimization
• Inter-system Automatic Neighbor Relation
– The BS/MS may generate interferences to the MS/BS in neighbors
– Measurement, Adjustment and Report
• A MS in the cell needs to measure radio signal parameters and/or identify
the interference source
• The BS achieves inter-coordination between BSs
System A
MS
MS
MS
associated
BS
BS
MS
MS
System B
MS
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Self Optimization
• Load Balancing
– Cell and handover parameters reselection
• Redirections of the handover for load balancing due to the unequal
traffic load and undesirable handover trials
• Reselection of the mobility parameters to the current cell/neighbor
cells based on its load status
– Measure, Adjustment and Report
• BS measures and adjusts the cell reselection/handover related
parameters based on its current cell status and the load information
from neighbor BSs.
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Self Optimization
• Mobility Robustness Optimization
– Expedite the handover procedures and Minimize the nonsuitable handovers
• The target BS may not always be detected properly if a handover
was performed to a non-suitable cell or environment
– Measurement, Adjustment and Report
• MS reports the failures to the serving BS.
• BS judges and adjusts the cell selection/reselection parameters.
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Proposed Text (1/2)
18 Support for Self-organization
Hybrid Structure is defined as the structure where part of the SON algorithms are executed in the
CSN, while others are executed at the BS level.
18.1 Self Configuration
Self-configuration process is the process where newly deployed BSs are configured by automatic
Installation procedures or existing BSs are re-configured with proper adjustment
18.1.1 Automated Configuration and Neighbor Relation
The cell Identity (ID) is an essential configuration parameter of a radio cell, it is the set of unique
symbols for differentiating several types of cells (e.g. macrocell / femtocell / sector / relay).
The automatic selection of new cell ID should assure that this cell ID is unique in both the whole
coverage of a cell and handover from the perspective of an MS.
18.1.2 Cell parameters and coverage re-configuration
Cell parameter and Coverage re-configuration are achieved based on the cell status and BS’s
resources availability. The BS may change the its cell coverage and its related cell parameters using
proper message transmission.
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Proposed Text (2/2)
18.2 Self Optimization
Self-optimization process is the process where MS/BS measurements are used to auto-adjust the
network.
18.2.1 Coverage and Capacity Optimization
The Coverage and Capacity optimization aims to solve the coverage hole where MS can’t receive
any effective signals from any BSs. Intra-BS and Inter-BS blind areas are defined. In case of
Intra-BS blind area the MS Returns to the serving BS if detecting the blind area and the MS goes
to the neighbor BS if detecting the blind area in case of Inter-BS blind area
18.2.2 Inter-system Automatic Neighbor Relation
The Inter-system Neighbor Relationship is defined for interference reduction when the BS in at
least one of these two systems creates non-acceptable interference to at least one MS in neighbor
system, or at least one of the MSs in at least one of these two systems creates non-acceptable
interference to the neighbor BS
18.2.3 Load Balancing
Self-Optimization of cell reselection/handover parameters is performed to cope with the unequal
traffic load and minimize the number of handovers and redirections needed to achieve the load
balancing.
18.2.4 Mobility Robustness Optimization
Mobility Robustness Optimization is defined to automatically provide the robust mobility
services. The mobility related parameters may be adjusted according to the collected information.
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