Base Station Handover Preparation Using Barred Neighbor Data
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Solution Overview
Problem
Current cellular communications networks face inefficiencies in handling user equipment (UE) handover operations to target base stations operating in a barred access mode, leading to repeated handover request rejections and resource wastage due to ineffective handover preparation attempts.
Innovation Solution
Implementing a handover preparation optimizer function at the source base station to record and learn from previous handover attempt failures, avoiding attempts to barred target base stations by maintaining barred neighbor data, and periodically refreshing this data to improve handover efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the source base station continuously attempts handover to barred target base stations, then handover request messages are sent, but handover request rejections are received leading to resource wastage
Solution Approach 1:
The source base station performs preliminary actions by maintaining barred neighbor data that records target base stations operating in barred access mode. Before attempting handover, the source base station checks this data to identify and avoid barred target base stations, thereby preventing futile handover request transmissions and conserving network resources.
Solution Approach 2:
The system implements feedback mechanisms where the source base station learns from prior handover attempt outcomes. When handover requests are rejected, this information is recorded in the barred neighbor data, enabling the source base station to adapt future handover decisions based on historical rejection patterns, thus improving overall handover success rates.
2Productivity
If handover preparation attempts are made to barred target base stations, then handover requests are processed, but repeated rejections occur causing handover delays
Solution Approach 1:
The source base station maintains barred neighbor data that is updated periodically or upon receiving rejection indications. This preliminary preparation allows the source base station to quickly identify barred target base stations before initiating handover procedures, eliminating unnecessary processing delays caused by repeated rejection cycles.
Solution Approach 2:
The source base station skips over barred target base stations identified in the barred neighbor data and directly proceeds to evaluate alternative target base stations. This skipping mechanism bypasses futile handover preparation steps, significantly reducing the time required to complete successful handover operations.
Data Source
AI summary
Systems and methods for user equipment handover preparation efficiency optimization are provided. In some embodiments, a base station may learn from prior UE handover operation attempts which neighboring base stations are operating in a barred access mode, and apply that information to subsequent handover operation attempts for other UE. In some embodiments, a handover preparation optimizer function maintains barred neighbor data that indicates when a UE handover operation attempt fails due to the target base station operating in a barred access mode. The source base station may then reference that barred neighbor data prior to sending subsequent handover request messages. In some embodiments, the handover preparation optimizer function may periodically refresh the barred neighbor data, for example by removing entries for target base stations listed in the barred neighbor data after a configurable period of time.