Wireless Node Mobility Classification for Network Optimization
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Solution Overview
Problem
Current wireless communication systems face challenges in efficiently managing nodes based on their mobility states, leading to suboptimal performance and increased network overhead due to unpredictable mobility patterns of user equipment (UEs) relative to serving nodes, especially in mobile networks.
Innovation Solution
Implementing a method to classify served nodes into categories based on their mobility relative to serving nodes, using parameters such as beam-related measurements, channel measurements, and position data, to differentiate service configurations and improve network performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If nodes are managed with uniform service configurations, then network management is simplified, but network performance deteriorates due to unpredictable mobility patterns
Solution Approach 1:
The patent applies local quality by classifying nodes into different mobility categories (stationary, low mobility, high mobility) and providing differentiated service configurations for each category. This allows the network to optimize parameters such as handover thresholds, measurement frequencies, and beam management strategies according to the specific mobility characteristics of each node group, thereby improving network performance without uniformly complicating the entire network management system.
Solution Approach 2:
The patent segments the node population into distinct mobility-based categories, allowing separate management and optimization strategies for each segment. By dividing nodes into stationary, low mobility, and high mobility groups, the system can apply tailored configurations to each segment, resolving the contradiction between simplified management and optimized performance.
2Reliability
If service configurations are tailored to specific mobility states, then communication quality improves, but network overhead increases due to classification and management requirements
Solution Approach 1:
The patent changes key network parameters based on mobility state classifications. Different service configurations including handover thresholds, measurement frequencies, and beam management parameters are adjusted according to the mobility category of each node. This targeted parameter adjustment improves communication quality for each mobility group while avoiding the need to manage all possible parameter combinations across all nodes, thereby controlling network overhead.
3Stability of the object's composition
If handover frequency is reduced through mobility-based classification, then network stability improves, but responsiveness to mobility changes may deteriorate
Solution Approach 1:
The patent implements dynamic service configurations that adapt to the mobility state of each node. By continuously monitoring mobility parameters and adjusting service configurations accordingly, the system maintains network stability for stationary and low mobility nodes while enabling faster response and more frequent handovers for high mobility nodes. This dynamic adaptation resolves the contradiction between network stability and responsiveness to mobility changes.
Data Source
AI summary
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a wireless node may identify one or more parameters indicating a mobility of a served node relative to a serving node. The wireless node may classify the served node within a category, among a plurality of categories, based at least in part on the one or more parameters. In some aspects, the plurality of categories may include at least a first category for served nodes that have a low mobility relative to the serving node and a second category for served nodes that have a high mobility relative to the serving node. Numerous other aspects are provided.