Dynamic Service Cluster Selection for Fast-Moving Terminal Access
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Solution Overview
Problem
The configuration of hyper cells is fixed and manual, leading to poor user experience due to inadequate handling of dynamic changes in environment or application scenarios, resulting in high call drop rates, access difficulties, and low throughput in scenarios like subways and railways.
Innovation Solution
A communication method that dynamically configures one or more candidate service clusters based on actual conditions, ensuring stability and reliability by selecting a suitable service cluster for a terminal, considering factors such as coverage area, communication quality, terminal load, and resource availability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a fixed manual configuration of hyper cell is used, then the network structure is simple and stable, but the user experience is poor due to inability to adapt to dynamic changes in environment or application scenarios
Solution Approach 1:
The patent transforms the static hyper cell configuration into a dynamic service cluster configuration. The network side device dynamically determines service clusters based on terminal information, movement predictions, and real-time network conditions. This allows the system to adapt to changing environments and scenarios automatically, resolving the contradiction between adaptability and configuration complexity.
Solution Approach 2:
The system implements self-service through automatic service cluster determination. The network side device autonomously selects appropriate service clusters based on terminal characteristics, predicted movement trajectories, and current network state without requiring manual intervention. This automatic mechanism enhances adaptability while managing configuration complexity through algorithmic decision-making.
2Reliability
If manual configuration of hyper cell is used, then the deployment process is controlled and stable, but the call drop rate is high and access is difficult in fast-moving scenarios
Solution Approach 1:
The patent applies preliminary action by predicting terminal movement trajectories in advance and pre-configuring service clusters before the terminal actually needs handover. The network side device determines future service clusters based on predicted movement, ensuring continuous service availability and reducing call drop rates while maintaining stable connections during fast movement.
Solution Approach 2:
The system implements feedback mechanisms where the network side device continuously monitors terminal status, communication quality, and network conditions. Based on this feedback, the system dynamically adjusts service cluster assignments to maintain service stability while improving access efficiency in fast-moving scenarios.
3Productivity
If fixed hyper cell configuration is used, then the network structure is straightforward, but the throughput is low due to frequent handovers in fast-moving scenarios
Solution Approach 1:
The patent introduces dynamic service cluster configuration that adapts to terminal movement and network conditions. By dynamically selecting and switching between service clusters based on real-time conditions, the system reduces frequent handovers and improves throughput while managing network structure complexity through automated decision-making.
Solution Approach 2:
The system changes key parameters such as service cluster selection, handover timing, and resource allocation based on terminal speed, location, and network conditions. These parameter adjustments optimize throughput in fast-moving scenarios while the automated nature of parameter changes manages the complexity of network structure.
Data Source
AI summary
This application provides a communication method and apparatus, and belongs to the field of communication technologies. In the method, a first access network apparatus receives a candidate service cluster list, and sends first information to a first terminal based on the candidate service cluster list. The candidate service cluster list indicates one or more candidate service clusters, each of the one or more candidate service clusters includes one or more access network apparatuses, and each candidate service cluster includes the first access network apparatus. The first information indicates that a first service cluster serves the first terminal, and the first service cluster is a service cluster in the one or more candidate service clusters.