Radio Station Optimization Information Exchange
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Solution Overview
Problem
Current network self-optimization technologies in radio communication systems do not consider the states of cells outside their management, leading to inconsistencies and suboptimal performance when different vendors' SON servers perform optimization independently.
Innovation Solution
A radio communication system where radio stations and network operation management apparatuses exchange optimization information to coordinate network optimization across cells managed by different vendors, ensuring that optimization is performed with consideration for neighboring cells.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If network optimization is performed independently by each SON server for cells under its management, then optimization can be executed autonomously and operation cost is reduced, but optimization performance degrades due to lack of coordination with neighboring cells managed by other vendors
Solution Approach 1:
The patent implements a feedback mechanism where SON servers exchange optimization information with neighboring SON servers. Each SON server notifies others about optimization actions being taken in its managed cells, allowing neighboring servers to adjust their optimization decisions accordingly. This feedback loop prevents conflicting optimizations and ensures coordinated network-wide optimization while maintaining autonomous execution.
Solution Approach 2:
The patent introduces an optimization information notification mechanism as an intermediary between independent SON servers. This intermediary system allows servers from different vendors to communicate and coordinate their optimization actions without compromising the autonomous nature of each server. The notification system acts as a mediator that enables collaboration while preserving independence.
2Adaptability or versatility
If multiple vendors' SON servers perform optimization independently without coordination, then each vendor can optimize their own cells autonomously, but inconsistencies arise in handover parameters and optimization effects are suboptimal
Solution Approach 1:
The patent applies local quality by allowing each SON server to maintain its own optimization characteristics and vendor-specific algorithms (local autonomy) while simultaneously exchanging optimization information with neighboring servers. Each server can continue to use its own optimization strategies for its managed cells but adjusts decisions based on notifications from neighbors, achieving both vendor independence and optimization consistency.
Solution Approach 2:
The patent implements a universal notification mechanism that works across different vendor platforms. The optimization information exchange system is designed to be vendor-agnostic, allowing SON servers from different vendors to communicate using a common interface. This universal approach enables multi-vendor coordination while preserving each vendor's proprietary optimization algorithms.
Data Source
AI summary
A radio communication system, a radio station, a network operation management apparatus, and a network optimization method are provided that can optimize a performance of the entire system even when network optimization is performed individually. In the radio communication system including multiple radio stations (10, 20, 30) and network operation management apparatuses managing the radio stations, network optimization is autonomously performed. A first radio station (10) notifies first optimization information regarding network optimization in a cell (10a) of the first radio station to at least one of another second radio station (20/30) that is different from the first radio station and a network apparatus that manages the second radio station (101).