5G使能新一代SON（英文版）_6页_957kb

Next Generation SON for 5G Summary

Core Content

This document outlines the vision and objectives for the Next Generation Self-Organizing Network (NG SON), emphasizing its critical role in the evolution of future wireless networks, particularly 5G. It highlights the limitations of current SON implementations and proposes a more integrated and automated approach to network operations and maintenance (O&M).

Main Expectations and Goals of NG SON

• Automation of O&M Tasks: NG SON is expected to automate all aspects of network planning, optimization, and maintenance, reducing the need for human intervention.
• Integral Part of 5G: Unlike previous implementations, NG SON should be considered a mandatory and integral component of 5G networks, not just an add-on.
• Support for Cloud RAN and 5G: NG SON must enable cloud-based Radio Access Network (RAN) and support the increased complexity of 5G, including higher bandwidth, more carriers, and advanced MIMO technologies.
• Multidimensional Self-Optimization: NG SON should provide accurate optimization at different levels (e.g., cell, grid, user group) to enhance user experience and network performance.

Key Challenges and Opportunities

2.1 Bridging the Gap between 3GPP and Daily Operation

• Current Limitations: The existing 3GPP SON standards only address a limited set of use cases and are seen as optional.
• Future Vision: NG SON should be a complete solution that automates the entire O&M lifecycle, using all available data for planning, optimization, and maintenance.
• Importance of Integration: To fulfill the promise of self-organized networks, NG SON must be designed as an integral part of the network.

2.2 Enabling Cloud RAN

• Cloud Architecture: The RAN is transitioning to a cloud-based model, where functions with low real-time requirements are centralized in the Mobile Cloud Engine (MCE).
• Automated Scaling: MCE with NG SON capabilities can automatically scale signaling processing based on load, improving network performance.
• Predictive Capabilities: NG SON should support predictive analytics to anticipate and respond to network changes.

2.3 Improving O&M Efficiency

• User Demands: Users expect higher data rates, reduced latencies, and more services without increased costs.
• Network Complexity: The complexity of networks increases due to more carriers, antennas, sites, and RAN features.
• Operational Pressure: The pressure on O&M grows with dynamic traffic patterns and heterogeneous network architectures, requiring more efficient management.

2.4 Further Automating O&M Tasks

• Five Stages of O&M: O&M tasks are divided into five stages: Initial Planning, Detail Design, Installation & Commissioning, Optimization, and Maintenance.
• Automation Potential:
  • Initial Planning: Only some tasks (e.g., coverage and capacity prediction) can be automated.
  • Detail Design: SON can automate RF parameter design through Plug and Play (PnP) but not transport or core network design.
  • Installation & Commissioning: Some tasks (e.g., software commissioning) can be automated, while others (e.g., hardware shipment) remain manual.
  • Optimization: This stage has the highest automation potential, but it also presents the biggest challenge due to the need for specialized expertise.
  • Maintenance: SON can monitor and rectify failures, either by suggesting software changes or hardware replacements.

2.5 Building a SON-Friendly 5G Solution

• 5G Characteristics: 5G will feature higher aggregated bandwidth, larger frequency ranges, and more varied cell coverages.
• Operational Challenges: The increased number of transmission points and higher MIMO orders will require more coordination and advanced management.
• NG SON as Enabler: NG SON is anticipated to be a key enabler for 5G success, providing essential automation and intelligence.

What is NG SON?

NG SON is designed to:

• Fully Aware: Monitor current network status and changes.
• Analyze and Optimize: Determine optimal network parameter values and implement adjustments.
• Minimize Human Intervention: Automate as much as possible to improve efficiency and user experience.

Key SON Functions

• Plug and Play (PnP): Enables automatic connection, software updates, and configuration of eNodeBs.
• Auto Call-P Test: Automates call procedure tests for new sites or cells to ensure normal operation.
• Minimization of Drive Testing (MDT): UEs automatically collect measurement data, including idle and connected mode metrics, improving the accuracy of network performance assessments.

Multidimensional Self-Optimization

• Scenario-Based Optimization: SON should identify network scenarios and apply pre-defined configuration strategies.
• Grid-Level Optimization: Utilize UE measurement capabilities to optimize smaller network segments.
• User Group Optimization: Efficiently allocate resources based on device or service groups.
• Traffic and Capacity-Driven Optimization: Detect new traffic models and suggest network adjustments accordingly.

Advanced Architecture for NG SON

• Hybrid Architecture: Combines the advantages of D-SON (short response cycle) and C-SON (long-term data management), enabling comprehensive network management.
• Data Platform: A big data platform is essential for collecting and analyzing measurement data, logs, and configurations to support automated decision-making.
• Process Visualization: Operators need to visualize and monitor the impact of SON adjustments on user experience.
• Programmable Features: SON should provide programming capabilities to allow RF engineers to develop new optimization measures as needed.

Conclusion

NG SON represents a significant evolution from traditional SON implementations, aiming to fully integrate with future wireless networks, particularly 5G. By leveraging automation, cloud computing, and multidimensional optimization, NG SON will be crucial for maintaining network efficiency, performance, and sustainability in the face of increasing complexity.