Wireless Handover Candidate Cell Selection and Failure Recovery
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Solution Overview
Problem
Current wireless communication systems face inefficiencies in performing handover procedures, particularly in next-generation networks requiring enhanced mobility management and reduced latency, where existing methods may lead to handover failures due to rapid channel changes and complex cell selection processes.
Innovation Solution
The proposed solution involves a handover procedure that includes receiving handover assistance information from the network, autonomously evaluating conditions for candidate target cells, and determining handover failure based on timer expiration or maximum random access trials, allowing for seamless switching to alternative cells if initial handover attempts fail.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If autonomous handover procedure is implemented to reduce handover latency, then handover speed is improved, but handover failure rate increases due to rapid channel changes
Solution Approach 1:
The network pre-configures the UE with a list of candidate target cells and handover assistance information before handover is needed. This allows the UE to have ready-made options for autonomous handover, reducing decision latency while maintaining reliability through pre-evaluated cell candidates.
Solution Approach 2:
The system implements feedback mechanisms where the network monitors handover performance and channel conditions, then adjusts handover parameters and candidate cell lists dynamically. This closed-loop control reduces handover failures by adapting to rapid channel changes while maintaining fast autonomous handover capability.
2Reliability
If multiple candidate target cells are evaluated autonomously by UE, then handover reliability is improved through cell selection diversity, but device complexity increases
Solution Approach 1:
The handover evaluation process is segmented into network-side tasks (pre-evaluating candidate cells, preparing assistance information) and UE-side tasks (autonomous selection from pre-configured list). This division reduces UE processing complexity while maintaining reliability through multiple candidate cell evaluations.
Solution Approach 2:
The network performs preliminary evaluation and preparation of candidate target cells before the UE needs to make autonomous decisions. By pre-processing candidate cell information and providing structured assistance data, the network reduces the computational burden on the UE while ensuring reliable handover through thorough prior evaluation.
3Manufacturing precision
If handover assistance information is transmitted by network to UE, then handover accuracy is improved, but loss of time increases due to information transmission delay
Solution Approach 1:
The network transmits handover assistance information and candidate cell lists in advance, before the actual handover event occurs. This preliminary transmission provides the UE with necessary accuracy data without causing delay at the critical handover moment, as the information is already available when needed.
Solution Approach 2:
The system dynamically adjusts the timing and content of handover assistance information transmission based on channel conditions and UE mobility state. For high-mobility scenarios, the network provides more frequent updates with shorter time intervals, optimizing the balance between accuracy and latency adaptively.
Data Source
Figure 1~2A
Figure 2B
Figure 3(a)~3(b)
AI summary
The present invention relates to a wireless communication system. More specifically, the present invention relates to a method and a device for receiving handover assistance information including a list of one or more candidate target cells; initiating a first random access procedure to a first candidate target cell of the one or more candidate target cells and a first timer for the first candidate target cell, when the first candidate target cell satisfies a handover condition; and stopping trying to connect to the first candidate target cell when any one of at least the following events occurs: (i) the first timer expires for the first candidate target cell, and (ii) a number of random access trials to the first candidate target cell reaches a maximum number.