Dynamic Neighbor Relation Identification via Network Events
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Solution Overview
Problem
Current wireless communication systems face challenges in efficiently identifying and managing handover relations between sectors, leading to dropped calls and suboptimal resource utilization due to scarce resources and the complexity of inter-frequency handover processes.
Innovation Solution
The system utilizes network events to dynamically identify and configure neighbor relations between sectors, enabling faster inter-frequency handover and reducing dropped calls by establishing neighbor lists based on overlap in coverage and confidence levels derived from observed network events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional handover relation identification methods are used, then handover processes can be completed, but dropped calls occur and resource utilization is suboptimal due to complexity and lack of dynamic adaptation
Solution Approach 1:
The system enables sectors to automatically identify and establish handover relations with neighboring sectors through self-organization. Network events from mobile devices are utilized to dynamically determine coverage overlaps, allowing the network to self-configure neighbor lists without manual intervention, thereby reducing complexity while improving reliability
Solution Approach 2:
The handover relation identification is made dynamic through continuous monitoring of network events. Neighbor lists are updated in real-time based on observed handover patterns and coverage overlaps, allowing the system to adapt to changing network conditions and mobile device movements, improving both reliability and resource utilization
2Adaptability or versatility
If manual configuration of neighbor lists is used, then handover relations can be established, but the process is time-consuming and cannot adapt to dynamic network conditions
Solution Approach 1:
The system performs preliminary identification of potential handover relations by continuously monitoring network events and coverage overlaps. Neighbor lists are pre-configured based on historical handover patterns and predicted coverage areas, enabling faster handover execution when needed while adapting to dynamic network conditions
Solution Approach 2:
The system utilizes feedback from network events to continuously refine and update handover relations. Mobile device handover patterns, signal strength measurements, and coverage overlap data provide real-time feedback that adjusts neighbor lists dynamically, improving adaptability while reducing configuration time through automated learning
3Productivity
If compressed mode is used during handover, then frequency changes can be managed, but operational efficiency decreases and accessibility is reduced due to extended time in compressed mode
Solution Approach 1:
The system pre-identifies optimal target sectors and prepares handover parameters before the mobile device enters compressed mode. By having neighbor lists pre-configured with accurate coverage overlap information, the handover can be executed more quickly, reducing the duration the device must remain in compressed mode and improving operational efficiency
Solution Approach 2:
The system accelerates the handover process by utilizing pre-established neighbor relations and coverage overlap data. Mobile devices can skip extended periods in compressed mode because the handover parameters are already optimized and validated, allowing faster transition between frequencies and improving overall productivity
Data Source
AI summary
Aspects relate to automatically establishing neighbor relations for adjacent sectors based on one or more network events. The neighbor relations can be established between sectors that can be identified as inter-frequency neighbors or intra-frequency neighbors. In an aspect, the network events can be active call data events received from one or more mobile devices. The active call data events can be radio access bearer establishments and internal system releases. In another aspect, the network events can be idle call data events received from one or more mobile devices. If a first event ended on a first sector and a second event started on a second sector before expiration of an interval that started when the first event ended, the first sector and second sector can be defined as neighbors.


