Base Station Clustering for Uncontrolled Node Integration
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Solution Overview
Problem
When a clustering server clusters a set of base stations, a large quantity of separate base stations remain uncontrolled, leading to inefficiencies in energy consumption and communication efficiency due to unmanaged working statuses.
Innovation Solution
A method where the clustering server determines neighboring base stations based on distance or pilot signal strength to form clusters, allowing a cluster-head base station to control the working status of cluster-member base stations, thereby reducing energy consumption and improving communication efficiency by re-clustering separate base stations into existing clusters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If the clustering server clusters base stations according to a preset rule, then energy consumption of base stations is reduced, but a large quantity of separate base stations remain uncontrolled
Solution Approach 1:
The patent merges separate base stations into existing clusters by adding them as cluster-member base stations to nearby clusters. This extends control coverage to previously uncontrolled base stations while maintaining the energy-saving cluster architecture. The cluster-head base station extends its control to include these additional base stations, integrating them into the managed cluster structure.
2Device complexity
If separate base stations are left unclustered, then cluster formation is simpler, but working statuses of these base stations cannot be controlled
Solution Approach 1:
The system uses self-service by having base stations autonomously determine their own clustering status. Base stations calculate distances to cluster-head base stations and autonomously decide whether to join a cluster based on preset thresholds, eliminating the need for complex centralized cluster formation algorithms while ensuring all base stations are controlled.
3Adaptability or versatility
If all base stations are clustered, then control coverage is maximized, but cluster formation becomes more complex
Solution Approach 1:
The patent applies partial action by using simple distance-based threshold criteria for cluster formation rather than complex optimization algorithms. Base stations join clusters if they meet the distance threshold, which achieves comprehensive control coverage with minimal computational complexity. This partial approach (simple threshold checking) is sufficient to solve the problem without requiring excessive computational resources.
Data Source
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AI summary
The present invention discloses a base station clustering method, a base station control method, and an apparatus, and relates to the communications field. The base station clustering method includes: clustering base stations in a base station set managed by a clustering server, to obtain at least one cluster; determining a cluster with a quantity of base stations in the cluster being 1; determining a neighboring base station of the base station in the cluster; and adding, when the neighboring base station is a cluster-head base station, the base station as a cluster-member base station to a cluster to which the neighboring base station belongs, so that the separately clustered base station can be added to another cluster, and a cluster-head base station in the another cluster can control a working status of the base station, thereby resolving a problem that the clustering server cannot control the working status of the separate base station when clustering the base station set, and energy consumption of the base station cannot be reduced, and reducing the energy consumption of the separately clustered base station.