Self-Organized Network Coordination Groups for Interference Management
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Solution Overview
Problem
Conventional wireless network deployments face capacity constraints and inter-cell interference issues, particularly in densely deployed small cells, where existing Self-Organized Network (SON) technologies are insufficient to optimize network performance effectively.
Innovation Solution
A system architecture for SON that coordinates network elements through logical communication links, forming coordination groups to optimize capacity, throughput, and quality of service by managing radio resources, adapting to changes in network elements, and utilizing both centralized and distributed operation models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If macro cells are deployed to provide larger coverage footprint and higher capacity, then coverage area and capacity are improved, but inter-cell interference increases and deployment flexibility decreases
Solution Approach 1:
The patent segments the network into coordination groups of neighboring cells that autonomously manage their radio resources. Each coordination group independently optimizes resource allocation, allowing macro cells to maintain large coverage while reducing inter-cell interference through localized coordination. This segmentation enables interference management without requiring network-wide centralized control.
2Productivity
If densely deployed small cells are used to increase capacity, then network capacity is improved, but coordination complexity increases and existing SON technologies become insufficient
Solution Approach 1:
The patent divides the dense small cell network into multiple coordination groups, where each group independently performs resource allocation and interference management. This segmentation reduces coordination complexity by limiting the scope of coordination to local groups rather than requiring network-wide coordination, enabling dense deployment while maintaining manageable complexity.
Solution Approach 2:
The coordination groups are dynamically formed and adapted based on network conditions, cell density, and traffic patterns. The system can reconfigure coordination groups as cells are added or removed, allowing the network to adapt to changing density requirements while maintaining efficient local coordination without centralized control overhead.
3Ease of manufacture
If conventional SON technologies are used for self configuration, then deployment cost is reduced, but coordination among neighboring cells on radio resource allocation is insufficient
Solution Approach 1:
Coordination groups autonomously perform radio resource allocation and interference management without requiring centralized network controller intervention. Each coordination group independently makes resource allocation decisions based on local conditions, maintaining the self-organizing nature of SON while achieving effective coordination. This self-service approach preserves deployment cost benefits while improving coordination reliability.
Data Source
AI summary
A self-organizing wireless network (SON) includes a plurality of base stations. Each base station includes a SON component for coordinating radio resource allocation with other base stations and a radio resource management component for accepting an allocation from the SON component and managing usage of that allocation for end user equipment associated with its base station. The base stations provide access to a plurality of end user equipment. The SON may include a server for communicating with the SON component for coordinating of radio resource allocation. The self-organizing wireless network may include a central control for communicating with the SON component for coordinating of radio resource allocation. Coordinating of radio resources relates to physical channels, transmit power, spatial resource allocation, admission control, load balancing, coordinating network elements in groups and includes adapting to addition of and reduction of network elements in a group in real time.