Telecom Node Carrier Shutdown via Self-Organizing Cooperation
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Solution Overview
Problem
Current carrier shutdown mechanisms in telecommunications networks are sub-optimal due to manual identification of basic cells and constraints on node relationships, limiting energy-saving opportunities and user quality of service during shutdowns.
Innovation Solution
A UE-centric approach is introduced, where nodes establish decentralized and self-organizing cooperation contexts based on handover metrics and signal strengths, allowing for dynamic updates and more flexible handover relationships, eliminating the need for manual cell identification and stringent entry conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If manual identification of basic cells and constraints on node relationships are used in carrier shutdown mechanisms, then network stability is maintained, but energy-saving opportunities are limited and shutdown procedures become sub-optimal
Solution Approach 1:
The system enables nodes to automatically identify their own suitability for carrier shutdown and autonomously execute shutdown procedures without manual intervention. The network nodes self-organize into target node sets based on their own capabilities and current network conditions, eliminating the need for external manual configuration while achieving optimal energy savings
Solution Approach 2:
The carrier shutdown mechanism transitions from static manual configuration to dynamic automatic adjustment. Nodes continuously evaluate their suitability for shutdown based on real-time network conditions, traffic patterns, and neighboring node states, allowing the system to adaptively optimize energy consumption while maintaining service quality
2Productivity
If decentralized and self-organizing cooperation contexts are established between nodes, then carrier shutdown opportunities increase and energy savings improve, but the complexity of node relationships and coordination increases
Solution Approach 1:
The network is segmented into independent nodes that each maintain their own cooperation context information and make autonomous decisions about carrier shutdown. Each node independently identifies target nodes and establishes local cooperation relationships, avoiding the need for complex centralized coordination while achieving system-wide optimization
Solution Approach 2:
Nodes automatically manage their own cooperation contexts with neighboring nodes, including identifying target nodes, establishing handover relationships, and coordinating shutdown timing. This self-service approach eliminates the need for complex external coordination mechanisms while enabling efficient carrier shutdown operations
3Reliability
If nodes establish cooperation contexts based on handover metrics and signal strengths, then handover accuracy and service continuity are improved, but the computational requirements and processing time increase
Solution Approach 1:
Nodes pre-establish cooperation contexts and identify target nodes before carrier shutdown is required. By proactively setting up handover relationships and verifying signal strengths in advance, the system ensures that when shutdown occurs, handovers can be executed immediately without time-consuming calculations or negotiations
Solution Approach 2:
The system continuously monitors handover metrics and signal strengths, using this feedback to dynamically adjust and optimize target node selection. This ongoing feedback mechanism ensures that handover decisions are based on current network conditions, maintaining high reliability while avoiding redundant computations
Data Source
AI summary
The technology of this application relates to a first node in a telecommunications network configured to generate metric data for the first node and a set of nodes neighbouring the first node, wherein the metric data is derived based on measures of at least one of historical and current signal strengths received at a user equipment served by the first node, handover parameter information of the nodes neighbouring the first node, and historical handover information available at the first node. The technology of this application further provides generating, using the metric data, a set of target nodes from the set of nodes neighbouring the first node, wherein the set of target nodes include nodes for handover of the user equipment served by the first node in the event of deactivation of the first node.